{
 "profile": "data-package",
 "name": "compile-the-law-data",
 "id": "https://future-seems-so-good.com/blog/assets/compile-the-law/data/datapackage.json",
 "title": "Compile the law: the data behind the book",
 "description": "Everything a four-wave search by AI agents collected and derived about software opportunities for Brazilian small businesses, professionals and consumers in October 2026: every idea at every stage, the R50 ranking and its cards, 1,008 classified findings, 28 buyer personas with their populations, 78 dated obligations, 8,709 checked sources, the value model, the 93 research reports and the code that built them.",
 "homepage": "https://future-seems-so-good.com/blog/compile-the-law",
 "version": "1.0.0",
 "created": "2026-10-12T00:00:00Z",
 "spatial": "Brazil",
 "temporal": "2026-09-12/2026-10-13",
 "licenses": [
  {
   "name": "CC-BY-4.0",
   "path": "https://creativecommons.org/licenses/by/4.0/",
   "title": "Creative Commons Attribution 4.0"
  }
 ],
 "keywords": [
  "Brazil",
  "small business",
  "software",
  "regulation",
  "tax reform",
  "CBS",
  "IBS",
  "MEI",
  "CNAE",
  "AI agents",
  "market sizing",
  "forced decisions",
  "asymmetries",
  "economic value"
 ],
 "contributors": [
  {
   "title": "Martin Roark",
   "path": "https://future-seems-so-good.com",
   "role": "author"
  }
 ],
 "resources": [
  {
   "name": "ideas",
   "path": "tables/ideas.csv",
   "profile": "tabular-data-resource",
   "title": "Every idea, at every stage",
   "description": "All 698 idea records of the search in one table: the 208 wave-1 cards, the 19 wave-2 deep dives, the 100 wave-3 re-scores of the earlier ideas, the 331 R50 variants of waves 3 and 4, and 40 ideas screened out in wave 4. Each row has its stage's own score and verdict, a percentile within the stage, an English gloss, buyer personas, the job the software does, whether a rule forces the purchase and its legal basis, and its lineage: the merged idea a card went into, the family a variant belongs to, the product it became.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 485353,
   "hash": "sha256:919897d0050b28a7ff7230276950461046db8a64a45a2f4052e6d568aee99ac6",
   "schema": {
    "fields": [
     {
      "name": "idea_id",
      "type": "string",
      "description": "Unique id: stage prefix (W1, W2, W3M, R50, SCR) and the record's own id."
     },
     {
      "name": "stage",
      "type": "string",
      "description": "wave1-card, wave2-deep-dive, wave3-rescore, r50-variant or screened."
     },
     {
      "name": "wave",
      "type": "integer",
      "description": "Research wave (1-4)."
     },
     {
      "name": "report_id",
      "type": "string",
      "description": "Research report id (W1-01 to W4-17); joins tables/reports.csv."
     },
     {
      "name": "source_id",
      "type": "string",
      "description": "The record's id in its source file."
     },
     {
      "name": "name",
      "type": "string",
      "description": "Name as the agent wrote it (mostly Portuguese)."
     },
     {
      "name": "en",
      "type": "string",
      "description": "English gloss written by the tagging pass (at most 14 words)."
     },
     {
      "name": "personas",
      "type": "string",
      "description": "Persona codes, main first, separated by '|'; see tables/personas.csv."
     },
     {
      "name": "job",
      "type": "string",
      "description": "What the software does for the buyer: check, calculate, document, schedule, operate, sell, learn, content, data or personal."
     },
     {
      "name": "forced",
      "type": "boolean",
      "description": "true when a legal or regulatory obligation or a dated rule change forces the purchase."
     },
     {
      "name": "legal_basis",
      "type": "string",
      "description": "The law, rule or deadline named, in short form."
     },
     {
      "name": "tags_from",
      "type": "string",
      "description": "self when the record was tagged itself; family when an R50 variant takes its family's tags."
     },
     {
      "name": "buyer",
      "type": "string",
      "description": "Buyer as written on the card."
     },
     {
      "name": "delivery_model",
      "type": "string",
      "description": "offline (runs on the buyer's machine), hybrid (local with an optional cloud part), cloud-light (a small serverless service) or api."
     },
     {
      "name": "revenue_model",
      "type": "string",
      "description": "one-time, subscription or mixed."
     },
     {
      "name": "sales_motion",
      "type": "string"
     },
     {
      "name": "price_brl",
      "type": "number",
      "description": "Entry or one-time price in reais."
     },
     {
      "name": "recurring_price_brl_month",
      "type": "number",
      "description": "Monthly price in reais of the recurring plan, if any."
     },
     {
      "name": "units_base",
      "type": "integer",
      "description": "Wave-1 base case of units sold."
     },
     {
      "name": "base_24m_gross_brl",
      "type": "integer",
      "description": "Base case of gross revenue over the first 24 months, in reais."
     },
     {
      "name": "low_24m_gross_brl",
      "type": "integer",
      "description": "Low case of gross revenue over 24 months, in reais."
     },
     {
      "name": "high_24m_gross_brl",
      "type": "integer",
      "description": "High case of gross revenue over 24 months, in reais."
     },
     {
      "name": "p_base",
      "type": "number",
      "description": "The card's probability of reaching at least the base case."
     },
     {
      "name": "rubric",
      "type": "string",
      "description": "The rubric behind score (each stage used its own)."
     },
     {
      "name": "score",
      "type": "number",
      "description": "Score on the stage's own rubric."
     },
     {
      "name": "score_pct_in_stage",
      "type": "number",
      "description": "Percentile of score within its stage (0-100), the only score comparable across stages."
     },
     {
      "name": "verdict",
      "type": "string",
      "description": "TOP (composite 3.8 or more), GOOD (3.3 to 3.79) or NO (lower, or a hard exclusion); earlier stages use their own labels."
     },
     {
      "name": "w3_score",
      "type": "number",
      "description": "For R50 variants that were wave-3 candidates: their wave-3 composite."
     },
     {
      "name": "w3_verdict",
      "type": "string",
      "description": "Their wave-3 verdict."
     },
     {
      "name": "w1_family",
      "type": "string",
      "description": "Wave-1 family the synthesis grouped the card into."
     },
     {
      "name": "merged_into",
      "type": "string",
      "description": "For wave-1 and wave-2 records: the wave-3 re-scored idea (W3M:...) they were merged into."
     },
     {
      "name": "merged_from",
      "type": "string",
      "description": "For wave-3 re-scores: the wave-1 and wave-2 ids merged into it."
     },
     {
      "name": "family_id",
      "type": "string",
      "description": "R50 product family id; joins tables/families.csv."
     },
     {
      "name": "family_rank",
      "type": "integer",
      "description": "Rank of the variant's family."
     },
     {
      "name": "family_verdict",
      "type": "string",
      "description": "Verdict of the variant's family."
     },
     {
      "name": "built_as",
      "type": "string",
      "description": "The product built from the record's family, if any."
     },
     {
      "name": "end_verdict",
      "type": "string",
      "description": "Where the record ended: the verdict of its merged idea, its own verdict or its family's."
     },
     {
      "name": "forcing",
      "type": "string",
      "description": "The forcing function or window the card cites."
     },
     {
      "name": "channels",
      "type": "string",
      "description": "Sales channels the wave-1 card proposed."
     },
     {
      "name": "key_evidence",
      "type": "string",
      "description": "The facts the agent cited for the card, as written."
     },
     {
      "name": "money_method",
      "type": "string",
      "description": "How the agent computed the money estimate, as written (present for some agents only)."
     },
     {
      "name": "risks",
      "type": "string",
      "description": "Why it fails, kill reason, exclusion or screening reason."
     },
     {
      "name": "lite_version",
      "type": "string",
      "description": "The wave-3 re-score's lighter version of the idea."
     },
     {
      "name": "bureaucracy_items",
      "type": "string",
      "description": "The bureaucracy exposures the card touches (B1-B9) and how the product avoids them."
     },
     {
      "name": "source_file",
      "type": "string",
      "description": "The project file the record comes from."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/ideas.csv"
    }
   ],
   "group": "ideas",
   "rows": 698
  },
  {
   "name": "families",
   "path": "tables/families.csv",
   "profile": "tabular-data-resource",
   "title": "Product families, ranked and tagged",
   "description": "The 222 families of the R50 ranking (220 products, one module, one distribution channel) with rank, composite, verdict, the nine criterion scores, prices, the base, low and high 24-month gross revenue of the variant that sets the family's money, the dated window that forces the purchase, an English gloss, personas, job and legal basis, and the product built from it.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 105085,
   "hash": "sha256:f46aea58867961ee19d67e1cb5672f2f07678118b23791df459cf86b339c2cac",
   "schema": {
    "fields": [
     {
      "name": "rank",
      "type": "integer",
      "description": "Rank of the family in the R50 ranking (1 = best); blank for the module and the distribution channel."
     },
     {
      "name": "family_id",
      "type": "string",
      "description": "R50 product family id; joins tables/families.csv."
     },
     {
      "name": "short_name",
      "type": "string",
      "description": "Short name used in the book's figures."
     },
     {
      "name": "family_name",
      "type": "string",
      "description": "Family name as the merge wrote it."
     },
     {
      "name": "kind",
      "type": "string",
      "description": "product, module or distribution."
     },
     {
      "name": "verdict",
      "type": "string",
      "description": "TOP (composite 3.8 or more), GOOD (3.3 to 3.79) or NO (lower, or a hard exclusion); earlier stages use their own labels."
     },
     {
      "name": "score",
      "type": "number",
      "description": "The family's composite: its best variant's."
     },
     {
      "name": "top50",
      "type": "boolean",
      "description": "true for product families ranked 1 to 50."
     },
     {
      "name": "built_as",
      "type": "string",
      "description": "The product built from the family on 12 October 2026, if any."
     },
     {
      "name": "en",
      "type": "string",
      "description": "English gloss written by the tagging pass (at most 14 words)."
     },
     {
      "name": "personas",
      "type": "string",
      "description": "Persona codes, main first, separated by '|'; see tables/personas.csv."
     },
     {
      "name": "job",
      "type": "string",
      "description": "What the software does for the buyer: check, calculate, document, schedule, operate, sell, learn, content, data or personal."
     },
     {
      "name": "forced",
      "type": "boolean",
      "description": "true when a legal or regulatory obligation or a dated rule change forces the purchase."
     },
     {
      "name": "legal_basis",
      "type": "string",
      "description": "The law, rule or deadline named, in short form."
     },
     {
      "name": "window",
      "type": "string",
      "description": "The dated rule, season or deadline that forces the purchase."
     },
     {
      "name": "delivery_model",
      "type": "string",
      "description": "offline (runs on the buyer's machine), hybrid (local with an optional cloud part), cloud-light (a small serverless service) or api."
     },
     {
      "name": "entry_price_brl",
      "type": "number",
      "description": "Entry price in reais: a one-time price, the first plan or a starter offer."
     },
     {
      "name": "recurring_price_brl_month",
      "type": "string",
      "description": "Monthly price in reais of the recurring plan, if any."
     },
     {
      "name": "family_base_24m_gross_brl",
      "type": "number",
      "description": "The family's money: its largest variant's base case (never a sum)."
     },
     {
      "name": "low_24m_gross_brl",
      "type": "integer",
      "description": "Low case of the variant that sets the family's money."
     },
     {
      "name": "high_24m_gross_brl",
      "type": "integer",
      "description": "High case of the same variant."
     },
     {
      "name": "p_base",
      "type": "number",
      "description": "The card's probability of reaching at least the base case."
     },
     {
      "name": "revenue_variant",
      "type": "string",
      "description": "The variant whose base case is the family's money."
     },
     {
      "name": "best_variant",
      "type": "string",
      "description": "The variant whose composite is the family's score."
     },
     {
      "name": "best_variant_name",
      "type": "string",
      "description": "Its name."
     },
     {
      "name": "best_variant_base_24m_gross_brl",
      "type": "number",
      "description": "Its base case."
     },
     {
      "name": "money",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 20: the base case over 24 months; 2 from R$150k, 3 from R$400k, 4 from R$1M, 5 from R$3M (no family reached 5)."
     },
     {
      "name": "salesability",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 15: 5 = strangers buy online without talking to anyone and acquisition costs at most 30% of first-year revenue; 1 = needs sales calls or procurement."
     },
     {
      "name": "bureaucracy",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 15: 5 = none of the nine exposures (fiscal documents, a sector regulator, a professional council, sensitive data in the seller's cloud, government systems, customers' money, platform approvals, liability for professional outputs, partners or procurement); 1 = several severe ones."
     },
     {
      "name": "ops",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 10: 5 = no human support and no rule updates by hand; 1 = continuous compliance tracking and support for each customer."
     },
     {
      "name": "recurrence",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 10: 5 = most revenue recurs with low churn; 1 = a single purchase."
     },
     {
      "name": "speed",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 10: 5 = first sales within two weeks; 1 = more than four months."
     },
     {
      "name": "asymmetry",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 10: 5 = a concrete reason to win now (a deadline, a reform gap, incumbents' pricing); 1 = none."
     },
     {
      "name": "durability",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 5: 5 = demand lasts five years or more and clones can't erase margins quickly; 1 = under a year."
     },
     {
      "name": "risk",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 5: 5 = low legal, liability, platform and ad-policy risk; 1 = high."
     },
     {
      "name": "n_variants",
      "type": "integer",
      "description": "Number of variants merged into the family."
     },
     {
      "name": "variants",
      "type": "string",
      "description": "The variants as source:id=composite, separated by ';'."
     },
     {
      "name": "reports",
      "type": "string",
      "description": "Reports the variants come from."
     },
     {
      "name": "domain",
      "type": "string",
      "description": "master (sold under the main brand) or a separate domain, with the reason."
     },
     {
      "name": "note",
      "type": "string",
      "description": "Merge note."
     },
     {
      "name": "adjusted",
      "type": "string",
      "description": "Whether a score was cut by hand."
     },
     {
      "name": "preliminary",
      "type": "string",
      "description": "Whether the card was preliminary."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/families.csv"
    }
   ],
   "group": "ranking",
   "rows": 222
  },
  {
   "name": "r50-cards",
   "path": "tables/r50-cards.csv",
   "profile": "tabular-data-resource",
   "title": "The 331 R50 cards as written",
   "description": "Every R50 card as its agent wrote it, with the evidence behind its scores (key evidence, money method, bureaucracy items), the hand adjustments, and its bracketed sources resolved to URLs from the report's own sources section.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 439742,
   "hash": "sha256:542ac8cc3b22a88d731a279842f48d8593b1c277dd9ddd096d5a770be035628a",
   "schema": {
    "fields": [
     {
      "name": "card_key",
      "type": "string",
      "description": "source:id, unique across agents; joins ideas.source_id and the R50 variants file."
     },
     {
      "name": "report_id",
      "type": "string",
      "description": "Research report id (W1-01 to W4-17); joins tables/reports.csv."
     },
     {
      "name": "family_id",
      "type": "string",
      "description": "R50 product family id; joins tables/families.csv."
     },
     {
      "name": "id",
      "type": "string",
      "description": "Card id as the agent wrote it."
     },
     {
      "name": "name",
      "type": "string",
      "description": "Variant name."
     },
     {
      "name": "delivery_model",
      "type": "string",
      "description": "offline (runs on the buyer's machine), hybrid (local with an optional cloud part), cloud-light (a small serverless service) or api."
     },
     {
      "name": "revenue_model",
      "type": "string",
      "description": "one-time, subscription or mixed."
     },
     {
      "name": "buyer_type",
      "type": "string",
      "description": "consumer, MEI, SMB, professional or B2B."
     },
     {
      "name": "sales_motion",
      "type": "string",
      "description": "How it sells: search, ads, marketplace, channel, outbound..."
     },
     {
      "name": "entry_price_brl",
      "type": "number",
      "description": "Entry price in reais: a one-time price, the first plan or a starter offer."
     },
     {
      "name": "recurring_price_brl_month",
      "type": "string",
      "description": "Monthly price in reais of the recurring plan, if any."
     },
     {
      "name": "base_24m_gross_brl",
      "type": "number",
      "description": "Base case of gross revenue over the first 24 months, in reais."
     },
     {
      "name": "low_24m_gross_brl",
      "type": "number",
      "description": "Low case of gross revenue over 24 months, in reais."
     },
     {
      "name": "high_24m_gross_brl",
      "type": "number",
      "description": "High case of gross revenue over 24 months, in reais."
     },
     {
      "name": "p_base",
      "type": "number",
      "description": "The card's probability of reaching at least the base case."
     },
     {
      "name": "money",
      "type": "integer",
      "description": "R50 criterion, 1-5, weight 20: the base case over 24 months; 2 from R$150k, 3 from R$400k, 4 from R$1M, 5 from R$3M (no family reached 5)."
     },
     {
      "name": "salesability",
      "type": "integer",
      "description": "R50 criterion, 1-5, weight 15: 5 = strangers buy online without talking to anyone and acquisition costs at most 30% of first-year revenue; 1 = needs sales calls or procurement."
     },
     {
      "name": "bureaucracy",
      "type": "integer",
      "description": "R50 criterion, 1-5, weight 15: 5 = none of the nine exposures (fiscal documents, a sector regulator, a professional council, sensitive data in the seller's cloud, government systems, customers' money, platform approvals, liability for professional outputs, partners or procurement); 1 = several severe ones."
     },
     {
      "name": "ops",
      "type": "integer",
      "description": "R50 criterion, 1-5, weight 10: 5 = no human support and no rule updates by hand; 1 = continuous compliance tracking and support for each customer."
     },
     {
      "name": "recurrence",
      "type": "integer",
      "description": "R50 criterion, 1-5, weight 10: 5 = most revenue recurs with low churn; 1 = a single purchase."
     },
     {
      "name": "speed",
      "type": "integer",
      "description": "R50 criterion, 1-5, weight 10: 5 = first sales within two weeks; 1 = more than four months."
     },
     {
      "name": "asymmetry",
      "type": "integer",
      "description": "R50 criterion, 1-5, weight 10: 5 = a concrete reason to win now (a deadline, a reform gap, incumbents' pricing); 1 = none."
     },
     {
      "name": "durability",
      "type": "integer",
      "description": "R50 criterion, 1-5, weight 5: 5 = demand lasts five years or more and clones can't erase margins quickly; 1 = under a year."
     },
     {
      "name": "risk",
      "type": "integer",
      "description": "R50 criterion, 1-5, weight 5: 5 = low legal, liability, platform and ad-policy risk; 1 = high."
     },
     {
      "name": "composite",
      "type": "number",
      "description": "Weighted mean of the nine R50 criteria (weights 20, 15, 15, 10, 10, 10, 10, 5, 5)."
     },
     {
      "name": "verdict",
      "type": "string",
      "description": "TOP (composite 3.8 or more), GOOD (3.3 to 3.79) or NO (lower, or a hard exclusion); earlier stages use their own labels."
     },
     {
      "name": "bureaucracy_items",
      "type": "string",
      "description": "The bureaucracy exposures the card touches (B1-B9) and how the product avoids them."
     },
     {
      "name": "key_evidence",
      "type": "string",
      "description": "The facts the agent cited for the card, as written."
     },
     {
      "name": "money_method",
      "type": "string",
      "description": "How the agent computed the money estimate, as written (present for some agents only)."
     },
     {
      "name": "composite_adjusted",
      "type": "number",
      "description": "Composite after the hand adjustments of the merge."
     },
     {
      "name": "verdict_adjusted",
      "type": "string",
      "description": "Verdict after the adjustments."
     },
     {
      "name": "adjustment_note",
      "type": "string",
      "description": "Why a score was adjusted."
     },
     {
      "name": "sources",
      "type": "string",
      "description": "The card's source references as written (numbers of the report's sources section, or URLs)."
     },
     {
      "name": "n_source_urls",
      "type": "integer",
      "description": "Number of URLs the references resolved to."
     },
     {
      "name": "source_urls",
      "type": "string",
      "description": "The resolved URLs, separated by '|'."
     },
     {
      "name": "other_fields",
      "type": "string",
      "description": "Agent-specific extra columns, as JSON."
     },
     {
      "name": "card_file",
      "type": "string",
      "description": "The agent's file the card was read from."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/r50-cards.csv"
    }
   ],
   "group": "ranking",
   "rows": 331
  },
  {
   "name": "products",
   "path": "tables/products.csv",
   "profile": "tabular-data-resource",
   "title": "The ten products built",
   "description": "The ten products built on 12 October 2026, read from the book's product table: what each engine checks or computes, price, where it runs, tests, the family behind it and the hours its build lane ran.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 3734,
   "hash": "sha256:afdc1dd1a164a3f4ca2ac121f517f8f3bec92ec3447b31d85b7cdaf84dd550fa",
   "schema": {
    "fields": [
     {
      "name": "product",
      "type": "string",
      "description": "Product name."
     },
     {
      "name": "family_id",
      "type": "string",
      "description": "R50 product family id; joins tables/families.csv."
     },
     {
      "name": "family",
      "type": "string",
      "description": "Family short name."
     },
     {
      "name": "rank",
      "type": "integer",
      "description": "Rank of the family in the R50 ranking (1 = best); blank for the module and the distribution channel."
     },
     {
      "name": "score",
      "type": "number"
     },
     {
      "name": "verdict",
      "type": "string",
      "description": "TOP (composite 3.8 or more), GOOD (3.3 to 3.79) or NO (lower, or a hard exclusion); earlier stages use their own labels."
     },
     {
      "name": "delivery_model",
      "type": "string",
      "description": "offline (runs on the buyer's machine), hybrid (local with an optional cloud part), cloud-light (a small serverless service) or api."
     },
     {
      "name": "engine",
      "type": "string",
      "description": "What the product's engine checks or computes."
     },
     {
      "name": "price",
      "type": "string",
      "description": "Launch price as stated in the book."
     },
     {
      "name": "runs",
      "type": "string",
      "description": "Where it runs: the buyer's browser, an encrypted backup, a serverless Worker."
     },
     {
      "name": "tests",
      "type": "integer",
      "description": "Automated tests of the product's own code."
     },
     {
      "name": "family_base_24m_gross_brl",
      "type": "integer",
      "description": "The family's base case over 24 months, in reais."
     },
     {
      "name": "personas",
      "type": "string",
      "description": "Persona codes, main first, separated by '|'; see tables/personas.csv."
     },
     {
      "name": "job",
      "type": "string",
      "description": "What the software does for the buyer: check, calculate, document, schedule, operate, sell, learn, content, data or personal."
     },
     {
      "name": "forced",
      "type": "boolean",
      "description": "true when a legal or regulatory obligation or a dated rule change forces the purchase."
     },
     {
      "name": "legal_basis",
      "type": "string",
      "description": "The law, rule or deadline named, in short form."
     },
     {
      "name": "window",
      "type": "string",
      "description": "The dated rule, season or deadline that forces the purchase."
     },
     {
      "name": "build_started",
      "type": "datetime",
      "format": "any",
      "description": "First commit of the lane, on the same clock as the times in the book."
     },
     {
      "name": "build_ended",
      "type": "datetime",
      "format": "any",
      "description": "Last commit of the lane, on the same clock as the times in the book."
     },
     {
      "name": "build_hours",
      "type": "number",
      "description": "Hours from the build lane's first to last commit."
     },
     {
      "name": "status",
      "type": "string",
      "description": "State on 12 October 2026."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/products.csv"
    }
   ],
   "group": "build",
   "rows": 10
  },
  {
   "name": "findings",
   "path": "tables/findings.csv",
   "profile": "tabular-data-resource",
   "title": "Every summary finding of the 93 reports, classified",
   "description": "1,008 findings extracted verbatim from the summary or verdict section of each research report, with the URLs they cite and whether those answered, plus a classification pass: an English headline, the asymmetry type, polarity (opportunity, barrier, context), personas, the date a rule forces a decision, the kind of evidence and a strength from 1 to 3.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 1159003,
   "hash": "sha256:c98605747b2a146d2fb8934386576c6f27f639f53aac3bf81abe7676f33b9e28",
   "schema": {
    "fields": [
     {
      "name": "finding_id",
      "type": "string",
      "description": "F0001 to F1008, in report order."
     },
     {
      "name": "report_id",
      "type": "string",
      "description": "Research report id (W1-01 to W4-17); joins tables/reports.csv."
     },
     {
      "name": "wave",
      "type": "integer",
      "description": "Wave of the report."
     },
     {
      "name": "report_title",
      "type": "string",
      "description": "Title of the report."
     },
     {
      "name": "section",
      "type": "string",
      "description": "The summary or verdict section the finding was taken from."
     },
     {
      "name": "n",
      "type": "integer",
      "description": "Position of the finding in that section."
     },
     {
      "name": "lead",
      "type": "string",
      "description": "The finding's bold lead, if it has one."
     },
     {
      "name": "title_en",
      "type": "string",
      "description": "English headline from the classification pass (at most 14 words)."
     },
     {
      "name": "type",
      "type": "string",
      "description": "Primary asymmetry type; see tables/asymmetries.csv."
     },
     {
      "name": "type2",
      "type": "string",
      "description": "Optional second asymmetry type."
     },
     {
      "name": "polarity",
      "type": "string",
      "description": "opportunity (opens a way to create or sell value), barrier (blocks or kills an option) or context."
     },
     {
      "name": "personas",
      "type": "string",
      "description": "Persona codes, main first, separated by '|'; see tables/personas.csv."
     },
     {
      "name": "forcing_date",
      "type": "date",
      "format": "any",
      "description": "Date a stated rule forces a decision (YYYY-MM-DD; a month gives day 01, a year 01-01)."
     },
     {
      "name": "evidence",
      "type": "string",
      "description": "Main kind of evidence: law, official-data, marketplace, search, complaints, pricing, platform-policy, cost, global, model, test or mixed."
     },
     {
      "name": "strength",
      "type": "integer",
      "description": "3 = quantified, sourced and directly actionable; 2 = useful but partial; 1 = background."
     },
     {
      "name": "text",
      "type": "string",
      "description": "The finding, verbatim (after the privacy scrub)."
     },
     {
      "name": "refs",
      "type": "string",
      "description": "Citation labels in the text ([3], [S12])."
     },
     {
      "name": "refs_unresolved",
      "type": "string",
      "description": "Labels with no entry in the report's sources."
     },
     {
      "name": "urls",
      "type": "string",
      "description": "URLs the finding cites, directly or through its labels, separated by '|'."
     },
     {
      "name": "n_urls",
      "type": "integer",
      "description": "Number of URLs."
     },
     {
      "name": "n_urls_ok",
      "type": "integer",
      "description": "How many answered the link check."
     },
     {
      "name": "n_urls_blocked",
      "type": "integer",
      "description": "How many refused an automated reader (the page usually exists)."
     },
     {
      "name": "n_urls_dead",
      "type": "integer",
      "description": "How many were gone, failed or unreachable."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/findings.csv"
    }
   ],
   "group": "insights",
   "rows": 1008
  },
  {
   "name": "asymmetries",
   "path": "tables/asymmetries.csv",
   "profile": "tabular-data-resource",
   "title": "The fourteen asymmetry types",
   "description": "For each type of asymmetry (forced decision, missing tool, price gap, demand signal...): its definition, how many findings carry it, their polarity and strength, the reports, personas and kinds of evidence behind it, and the three strongest examples.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 6826,
   "hash": "sha256:d156bbf28fdc23a8320ef029e4e8415bf37967f9420eb102fcf2fcecde28bbe2",
   "schema": {
    "fields": [
     {
      "name": "type",
      "type": "string",
      "description": "Asymmetry code."
     },
     {
      "name": "definition",
      "type": "string",
      "description": "What the type means."
     },
     {
      "name": "findings",
      "type": "integer",
      "description": "Findings with this primary type."
     },
     {
      "name": "findings_any",
      "type": "integer",
      "description": "Findings with this type as primary or second type."
     },
     {
      "name": "opportunity",
      "type": "integer",
      "description": "Of the primary findings, how many are opportunities."
     },
     {
      "name": "barrier",
      "type": "integer",
      "description": "How many are barriers."
     },
     {
      "name": "context",
      "type": "integer",
      "description": "How many are context."
     },
     {
      "name": "strength3",
      "type": "integer",
      "description": "How many have strength 3."
     },
     {
      "name": "reports",
      "type": "integer",
      "description": "Distinct reports with a primary finding of this type."
     },
     {
      "name": "waves",
      "type": "string",
      "description": "Waves those reports belong to."
     },
     {
      "name": "top_personas",
      "type": "string",
      "description": "Most frequent personas of those findings."
     },
     {
      "name": "top_evidence",
      "type": "string",
      "description": "Most frequent kinds of evidence."
     },
     {
      "name": "examples",
      "type": "string",
      "description": "The strongest three findings: id and headline."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/asymmetries.csv"
    }
   ],
   "group": "insights",
   "rows": 14
  },
  {
   "name": "personas",
   "path": "tables/personas.csv",
   "profile": "tabular-data-resource",
   "title": "Persona atlas",
   "description": "The 28 buyer personas: population with its basis (CNAE subclasses of the open CNPJ data, MEI and Simples counts, research figures), MEI share, recent openings, findings by polarity and asymmetry, the next dates a rule forces a decision on them, obligations, families and top-50 families aimed at them, their money and the products built.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 9125,
   "hash": "sha256:89bdfdc5234e787d0e54ce4ce29411642196a8b447ce33cd3a6ec9c1660c282c",
   "schema": {
    "fields": [
     {
      "name": "persona",
      "type": "string",
      "description": "Persona code."
     },
     {
      "name": "label",
      "type": "string",
      "description": "What the code stands for."
     },
     {
      "name": "wage_tier",
      "type": "string",
      "description": "Whose time the value model prices: employer, own (own-account worker) or person."
     },
     {
      "name": "population",
      "type": "integer",
      "description": "Head count used for the persona (see population_basis)."
     },
     {
      "name": "population_basis",
      "type": "string",
      "description": "Where the population comes from."
     },
     {
      "name": "cnae_subclasses",
      "type": "integer",
      "description": "CNAE subclasses counted under the persona (tables/persona-cnae.csv)."
     },
     {
      "name": "active_establishments",
      "type": "integer",
      "description": "Active establishments in those subclasses (Receita Federal open CNPJ data, Aug-Sep 2026)."
     },
     {
      "name": "mei_share",
      "type": "number",
      "description": "Share of those establishments that are MEI."
     },
     {
      "name": "opened_2024_plus",
      "type": "integer",
      "description": "Active establishments opened since 2024."
     },
     {
      "name": "no_email_share",
      "type": "number",
      "description": "Share with no e-mail address on record."
     },
     {
      "name": "findings",
      "type": "integer",
      "description": "Findings that name the persona."
     },
     {
      "name": "findings_opportunity",
      "type": "integer",
      "description": "Of those, opportunities."
     },
     {
      "name": "findings_barrier",
      "type": "integer",
      "description": "Of those, barriers."
     },
     {
      "name": "findings_forced",
      "type": "integer",
      "description": "Of those, forced decisions (primary or second type)."
     },
     {
      "name": "top_asymmetries",
      "type": "string",
      "description": "Most frequent asymmetry types in those findings."
     },
     {
      "name": "next_forcing_dates",
      "type": "string",
      "description": "The next dates (from 12 Oct 2026) a finding says a rule forces a decision on the persona."
     },
     {
      "name": "obligations",
      "type": "integer",
      "description": "Dated obligations of tables/obligations.csv that name the persona."
     },
     {
      "name": "families_main",
      "type": "integer",
      "description": "Product families whose main persona it is."
     },
     {
      "name": "families_any",
      "type": "integer",
      "description": "Product families that name it at all."
     },
     {
      "name": "top50_families",
      "type": "integer",
      "description": "Top-50 families whose main persona it is."
     },
     {
      "name": "families_base_24m_gross_brl",
      "type": "integer",
      "description": "Sum of the base cases of the families whose main persona it is (the families are alternatives, so this is a size of opportunity, not a forecast)."
     },
     {
      "name": "best_families",
      "type": "string",
      "description": "Best-ranked families aimed at it."
     },
     {
      "name": "built_products",
      "type": "string",
      "description": "Products built for it."
     },
     {
      "name": "idea_records",
      "type": "integer",
      "description": "Idea records of all stages that name it."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/personas.csv"
    }
   ],
   "group": "population",
   "rows": 28
  },
  {
   "name": "persona-cnae",
   "path": "tables/persona-cnae.csv",
   "profile": "tabular-data-resource",
   "title": "CNAE subclasses assigned to personas",
   "description": "All 1,337 CNAE subclasses with their active establishments and the persona each is counted under (first matching rule wins; blank when no persona fits), so that every persona population can be audited.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 98308,
   "hash": "sha256:b758747775258e16373bce5c1843648838795d2772802b50bf5d37958a0ef320",
   "schema": {
    "fields": [
     {
      "name": "cnae",
      "type": "string",
      "description": "CNAE 2.3 subclass code (7 digits)."
     },
     {
      "name": "description",
      "type": "string",
      "description": "Its description."
     },
     {
      "name": "persona",
      "type": "string",
      "description": "Persona it is counted under; blank when none fits."
     },
     {
      "name": "active_establishments",
      "type": "integer",
      "description": "Active establishments."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/persona-cnae.csv"
    }
   ],
   "group": "population",
   "rows": 1337
  },
  {
   "name": "obligations",
   "path": "tables/obligations.csv",
   "profile": "tabular-data-resource",
   "title": "Dated obligations that force decisions",
   "description": "The 78 dated events of the two calendars (tax reform and other forced demand) in one table: date, event, legal basis, who is forced and how many (as written and parsed), penalty, the free government tool and its quality, paid tools, the software job, personas and the gap index.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 42643,
   "hash": "sha256:f55d0377d0081a9988397004f177af5d8a3ea3b1e356a5a889d33823460ca521",
   "schema": {
    "fields": [
     {
      "name": "obligation_id",
      "type": "string",
      "description": "Calendar row id (C.. for the reform calendar, CAL-.. for the forced-demand calendar)."
     },
     {
      "name": "calendar",
      "type": "string",
      "description": "Which calendar."
     },
     {
      "name": "date",
      "type": "string",
      "description": "Date or period as written."
     },
     {
      "name": "date_status",
      "type": "string",
      "description": "fixed, indicative, in force, missed, pending..."
     },
     {
      "name": "event",
      "type": "string",
      "description": "The obligation or rule change."
     },
     {
      "name": "en",
      "type": "string",
      "description": "English gloss written by the tagging pass (at most 14 words)."
     },
     {
      "name": "legal_basis",
      "type": "string",
      "description": "The law, rule or deadline named, in short form."
     },
     {
      "name": "who",
      "type": "string",
      "description": "Who is forced."
     },
     {
      "name": "personas",
      "type": "string",
      "description": "Persona codes, main first, separated by '|'; see tables/personas.csv."
     },
     {
      "name": "population_text",
      "type": "string",
      "description": "How many, as written."
     },
     {
      "name": "population_n",
      "type": "integer",
      "description": "The first head count in population_text, parsed; blank when the text gives none."
     },
     {
      "name": "penalty",
      "type": "string",
      "description": "Penalty or consequence."
     },
     {
      "name": "free_gov_tool",
      "type": "string",
      "description": "The free tool the government offers."
     },
     {
      "name": "free_tool_quality_1to5",
      "type": "integer",
      "description": "Its quality, 1-5 (reform calendar only)."
     },
     {
      "name": "paid_tools",
      "type": "string",
      "description": "Paid tools and their prices."
     },
     {
      "name": "software_job",
      "type": "string",
      "description": "Job code of the software that would help."
     },
     {
      "name": "software_jobs_text",
      "type": "string",
      "description": "The software jobs as written."
     },
     {
      "name": "gap_0_100",
      "type": "number",
      "description": "Gap index of the reform calendar: population, pain, urgency, weakness of the free tool and low bureaucracy."
     },
     {
      "name": "fit",
      "type": "string",
      "description": "Fit for a small seller (forced-demand calendar)."
     },
     {
      "name": "candidates",
      "type": "string",
      "description": "Cards written for it."
     },
     {
      "name": "source_report",
      "type": "string",
      "description": "The report that built the row."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/obligations.csv"
    }
   ],
   "group": "regulation",
   "rows": 78
  },
  {
   "name": "sources",
   "path": "tables/sources.csv",
   "profile": "tabular-data-resource",
   "title": "Every cited URL and whether it answered",
   "description": "All 8,709 distinct URLs cited in the published research, with host, kind of source, citations, the documents and findings that cite them, and the outcome of a link check on 12-13 October 2026 (ok, blocked by a bot wall, gone, server error, unreachable).",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 1449621,
   "hash": "sha256:9861354c3d2029c5302fc222a4b98f31b7603922b06a42880ffb11562b6649e5",
   "schema": {
    "fields": [
     {
      "name": "url",
      "type": "string",
      "description": "The URL as cited (after the privacy scrub)."
     },
     {
      "name": "host",
      "type": "string",
      "description": "Its host."
     },
     {
      "name": "source_kind",
      "type": "string",
      "description": "government, marketplace, complaints, archive, code-and-models, video-and-social, news-and-trade-press, vendor-docs-and-help or company-or-other."
     },
     {
      "name": "citations",
      "type": "integer",
      "description": "Times the URL appears in the published research."
     },
     {
      "name": "documents",
      "type": "integer",
      "description": "Number of research documents citing it."
     },
     {
      "name": "doc_ids",
      "type": "string",
      "description": "Those documents."
     },
     {
      "name": "findings",
      "type": "integer",
      "description": "Findings citing it."
     },
     {
      "name": "finding_ids",
      "type": "string",
      "description": "Up to 20 of those findings."
     },
     {
      "name": "outcome",
      "type": "string",
      "description": "ok, blocked (401/403/429 or a bot wall), gone (404/410), server (5xx), error (DNS, TLS, timeout) or withheld (cut by the privacy scrub)."
     },
     {
      "name": "http_status",
      "type": "integer",
      "description": "Final HTTP status."
     },
     {
      "name": "final_url",
      "type": "string",
      "description": "Where redirects ended, when different."
     },
     {
      "name": "tls_unverified",
      "type": "integer",
      "description": "1 when the answer came only without certificate verification."
     },
     {
      "name": "error",
      "type": "string",
      "description": "The error, when there was no answer."
     },
     {
      "name": "checked_at",
      "type": "datetime",
      "format": "any",
      "description": "When it was checked (UTC)."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/sources.csv"
    }
   ],
   "group": "evidence",
   "rows": 8709
  },
  {
   "name": "reports",
   "path": "tables/reports.csv",
   "profile": "tabular-data-resource",
   "title": "The 93 research reports",
   "description": "One row per research report: wave, title, topic, words, when the agent ran, findings and their polarity, main asymmetry, URLs cited and how many answered, idea records, families and top-50 families it fed, and products built from it.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 24195,
   "hash": "sha256:0f2ebb084a14abbc78215651275308e03a895795afd6c7df65577de08616954b",
   "schema": {
    "fields": [
     {
      "name": "report_id",
      "type": "string",
      "description": "Research report id (W1-01 to W4-17); joins tables/reports.csv."
     },
     {
      "name": "wave",
      "type": "integer"
     },
     {
      "name": "title",
      "type": "string",
      "description": "First heading of the report."
     },
     {
      "name": "topic",
      "type": "string",
      "description": "Topic from the file name."
     },
     {
      "name": "file",
      "type": "string",
      "description": "Path of the report in the release."
     },
     {
      "name": "words",
      "type": "integer",
      "description": "Words in the report."
     },
     {
      "name": "started",
      "type": "datetime",
      "format": "any",
      "description": "Start, ISO 8601, on the same clock as the times in the book."
     },
     {
      "name": "ended",
      "type": "datetime",
      "format": "any",
      "description": "End, ISO 8601, on the same clock as the times in the book."
     },
     {
      "name": "minutes",
      "type": "integer",
      "description": "Minutes from the agent's first saved file to its report."
     },
     {
      "name": "findings",
      "type": "integer",
      "description": "Findings extracted from its summary."
     },
     {
      "name": "findings_opportunity",
      "type": "integer",
      "description": "Of those, opportunities."
     },
     {
      "name": "findings_barrier",
      "type": "integer",
      "description": "Of those, barriers."
     },
     {
      "name": "main_asymmetry",
      "type": "string",
      "description": "Most frequent asymmetry type of its findings."
     },
     {
      "name": "urls",
      "type": "integer",
      "description": "Distinct URLs it cites."
     },
     {
      "name": "urls_ok",
      "type": "integer",
      "description": "How many answered."
     },
     {
      "name": "urls_blocked",
      "type": "integer",
      "description": "How many refused an automated reader."
     },
     {
      "name": "urls_dead",
      "type": "integer",
      "description": "How many were gone, failed or unreachable."
     },
     {
      "name": "idea_records",
      "type": "integer",
      "description": "Idea records it produced."
     },
     {
      "name": "families",
      "type": "integer",
      "description": "R50 families with a variant from it."
     },
     {
      "name": "top50_families",
      "type": "integer",
      "description": "Of those, in the top 50."
     },
     {
      "name": "best_family_rank",
      "type": "integer",
      "description": "Rank of its best family."
     },
     {
      "name": "built_products",
      "type": "string",
      "description": "Products built from its families."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/reports.csv"
    }
   ],
   "group": "evidence",
   "rows": 93
  },
  {
   "name": "agent-runs",
   "path": "tables/agent-runs.csv",
   "profile": "tabular-data-resource",
   "title": "Research agent runs",
   "description": "The 103 agent runs of the search (93 research reports and 10 R50 re-scores): start, end, minutes and words.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 10305,
   "hash": "sha256:6510ec94b37053ff1388225dc015df9513d243a31d4f3e4ceb8dc49c0986e52f",
   "schema": {
    "fields": [
     {
      "name": "run_id",
      "type": "string",
      "description": "W1-01 to W4-17 for research reports; R50-W3-xx for the re-scoring runs."
     },
     {
      "name": "wave",
      "type": "string"
     },
     {
      "name": "kind",
      "type": "string",
      "description": "research or rescore."
     },
     {
      "name": "started",
      "type": "datetime",
      "format": "any",
      "description": "Start, ISO 8601, on the same clock as the times in the book."
     },
     {
      "name": "ended",
      "type": "datetime",
      "format": "any",
      "description": "End, ISO 8601, on the same clock as the times in the book."
     },
     {
      "name": "minutes",
      "type": "integer",
      "description": "Duration in minutes."
     },
     {
      "name": "words",
      "type": "integer",
      "description": "Words in the report (0 for re-scores, which wrote tables)."
     },
     {
      "name": "output_file",
      "type": "string",
      "description": "The run's report or table in the project."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/agent-runs.csv"
    }
   ],
   "group": "process",
   "rows": 103
  },
  {
   "name": "build-lanes",
   "path": "tables/build-lanes.csv",
   "profile": "tabular-data-resource",
   "title": "Build lanes",
   "description": "The twelve build lanes of Monday (two platform versions and ten products), from first to last commit.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 1074,
   "hash": "sha256:42db280435eab633dbdbf89defb1008a86a401cfa20a1df3491f775f517ac525",
   "schema": {
    "fields": [
     {
      "name": "lane",
      "type": "string",
      "description": "Lane label."
     },
     {
      "name": "product",
      "type": "string",
      "description": "Product built in the lane."
     },
     {
      "name": "family_id",
      "type": "string",
      "description": "R50 product family id; joins tables/families.csv."
     },
     {
      "name": "kind",
      "type": "string",
      "description": "platform or product."
     },
     {
      "name": "started",
      "type": "datetime",
      "format": "any",
      "description": "Start, ISO 8601, on the same clock as the times in the book."
     },
     {
      "name": "ended",
      "type": "datetime",
      "format": "any",
      "description": "End, ISO 8601, on the same clock as the times in the book."
     },
     {
      "name": "hours",
      "type": "number",
      "description": "Hours from first to last commit."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/build-lanes.csv"
    }
   ],
   "group": "process",
   "rows": 12
  },
  {
   "name": "value-estimates",
   "path": "tables/value-estimates.csv",
   "profile": "tabular-data-resource",
   "title": "Time saved per buyer, top 50 (estimates)",
   "description": "For each top-50 family: how the buyer does the job today, uses per year, minutes saved per use and hours saved per year (low, base, high), the main value the model leaves out (fines, money, sales), an incumbent price when the card names one, and a confidence. Written by a language-model pass from each card; estimates, not observations.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 13134,
   "hash": "sha256:b1a4c52d15c71b4ae8c1c0f450ed9d82c68b53696a7ec6f6305a3f96956e81ea",
   "schema": {
    "fields": [
     {
      "name": "family_id",
      "type": "string",
      "description": "R50 product family id; joins tables/families.csv."
     },
     {
      "name": "rank",
      "type": "integer",
      "description": "Rank of the family in the R50 ranking (1 = best); blank for the module and the distribution channel."
     },
     {
      "name": "job_today",
      "type": "string",
      "description": "How the buyer does the job without the product."
     },
     {
      "name": "uses_per_year",
      "type": "integer",
      "description": "Times a typical buyer does the job per year."
     },
     {
      "name": "minutes_saved_per_use_low",
      "type": "integer",
      "description": "Minutes of the buyer's own work saved per use, low."
     },
     {
      "name": "minutes_saved_per_use_base",
      "type": "integer",
      "description": "Same, base."
     },
     {
      "name": "minutes_saved_per_use_high",
      "type": "integer",
      "description": "Same, high."
     },
     {
      "name": "hours_saved_per_year_low",
      "type": "number",
      "description": "uses_per_year x minutes / 60, low."
     },
     {
      "name": "hours_saved_per_year_base",
      "type": "number",
      "description": "Same, base."
     },
     {
      "name": "hours_saved_per_year_high",
      "type": "number",
      "description": "Same, high."
     },
     {
      "name": "other_value",
      "type": "string",
      "description": "The main value the model leaves out: penalty, money, revenue or none."
     },
     {
      "name": "other_value_note",
      "type": "string",
      "description": "What it is, with a number from the card when there is one."
     },
     {
      "name": "alt_paid_brl_month",
      "type": "number",
      "description": "Monthly price of an equivalent paid tool or service named on the card."
     },
     {
      "name": "confidence",
      "type": "string",
      "description": "low, medium or high."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/value-estimates.csv"
    }
   ],
   "group": "value",
   "rows": 50
  },
  {
   "name": "economic-value",
   "path": "tables/economic-value.csv",
   "profile": "tabular-data-resource",
   "title": "Value to buyers per family",
   "description": "For each of the 220 product families, in a low, base and high scenario: 24-month revenue, revenue per buyer, buyers, hours saved, the hourly value of the buyer's time, the value of that time and what buyers keep after paying. Everything the model leaves out (fines, extra sales, money saved) makes these floors.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 69146,
   "hash": "sha256:21940a444379001b66e5fea10a48fa624d7788972bad02a5ae960f1cdf79c33b",
   "schema": {
    "fields": [
     {
      "name": "family_id",
      "type": "string",
      "description": "R50 product family id; joins tables/families.csv."
     },
     {
      "name": "rank",
      "type": "integer",
      "description": "Rank of the family in the R50 ranking (1 = best); blank for the module and the distribution channel."
     },
     {
      "name": "short_name",
      "type": "string"
     },
     {
      "name": "top50",
      "type": "boolean"
     },
     {
      "name": "built_as",
      "type": "string"
     },
     {
      "name": "persona",
      "type": "string",
      "description": "Main persona (all-smb when untagged)."
     },
     {
      "name": "wage_tier",
      "type": "string",
      "description": "Whose time is priced: employer, own or person."
     },
     {
      "name": "job",
      "type": "string",
      "description": "What the software does for the buyer: check, calculate, document, schedule, operate, sell, learn, content, data or personal."
     },
     {
      "name": "forced",
      "type": "boolean",
      "description": "true when a legal or regulatory obligation or a dated rule change forces the purchase."
     },
     {
      "name": "priced",
      "type": "boolean",
      "description": "false when buyers pay no price (ads, leads, fees or sponsorship); such rows have no buyers or value and stay out of the sums."
     },
     {
      "name": "hours_source",
      "type": "string",
      "description": "family estimate (top 50) or the median for the family's job."
     },
     {
      "name": "other_value",
      "type": "string",
      "description": "The main value left out (top 50 only)."
     },
     {
      "name": "entry_price_brl",
      "type": "number",
      "description": "Entry price in reais: a one-time price, the first plan or a starter offer."
     },
     {
      "name": "recurring_price_brl_month",
      "type": "number",
      "description": "Monthly price in reais of the recurring plan, if any."
     },
     {
      "name": "revenue_low",
      "type": "integer",
      "description": "24-month gross revenue, low scenario (the card's low case)."
     },
     {
      "name": "revenue_per_buyer_low",
      "type": "number",
      "description": "What a buyer pays in the window: entry price plus monthly price x paid months."
     },
     {
      "name": "buyers_low",
      "type": "number",
      "description": "revenue / revenue per buyer."
     },
     {
      "name": "hours_per_buyer_year_low",
      "type": "number",
      "description": "Hours saved per buyer per year."
     },
     {
      "name": "hours_saved_low",
      "type": "number",
      "description": "buyers x hours a year x years of use inside the window."
     },
     {
      "name": "wage_low",
      "type": "number",
      "description": "Hourly value of the buyer's time in reais (PNAD Contínua)."
     },
     {
      "name": "buyer_time_value_low",
      "type": "number",
      "description": "hours saved x wage, in reais: the gross value of the time saved."
     },
     {
      "name": "buyer_net_low",
      "type": "integer",
      "description": "Time value minus what buyers paid."
     },
     {
      "name": "revenue_base",
      "type": "integer",
      "description": "Same, base."
     },
     {
      "name": "revenue_per_buyer_base",
      "type": "number",
      "description": "Same, base."
     },
     {
      "name": "buyers_base",
      "type": "number",
      "description": "Same, base."
     },
     {
      "name": "hours_per_buyer_year_base",
      "type": "number",
      "description": "Same, base."
     },
     {
      "name": "hours_saved_base",
      "type": "number",
      "description": "Same, base."
     },
     {
      "name": "wage_base",
      "type": "number",
      "description": "Same, base."
     },
     {
      "name": "buyer_time_value_base",
      "type": "integer",
      "description": "Same, base."
     },
     {
      "name": "buyer_net_base",
      "type": "integer",
      "description": "Same, base."
     },
     {
      "name": "revenue_high",
      "type": "integer",
      "description": "Same, high."
     },
     {
      "name": "revenue_per_buyer_high",
      "type": "number",
      "description": "Same, high."
     },
     {
      "name": "buyers_high",
      "type": "number",
      "description": "Same, high."
     },
     {
      "name": "hours_per_buyer_year_high",
      "type": "number",
      "description": "Same, high."
     },
     {
      "name": "hours_saved_high",
      "type": "integer",
      "description": "Same, high."
     },
     {
      "name": "wage_high",
      "type": "number",
      "description": "Same, high."
     },
     {
      "name": "buyer_time_value_high",
      "type": "integer",
      "description": "Same, high."
     },
     {
      "name": "buyer_net_high",
      "type": "integer",
      "description": "Same, high."
     },
     {
      "name": "value_to_price_base",
      "type": "number",
      "description": "Time value over revenue, base scenario."
     },
     {
      "name": "note",
      "type": "string",
      "description": "Flag when time saved alone is worth less than the price."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/economic-value.csv"
    }
   ],
   "group": "value",
   "rows": 220
  },
  {
   "name": "economic-value-summary",
   "path": "tables/economic-value-summary.csv",
   "profile": "tabular-data-resource",
   "title": "Value to Brazil, summed",
   "description": "The value model summed over the ten built products, the top 50 and all 220 product families, per scenario, with the split of revenue between the state (tax), payment platforms, ad platforms and the seller at the base shares.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 1308,
   "hash": "sha256:5c92257dabe08be1fe1664b4b551f06de7e3e81ae23bdc48f3fe26a2ec03b39c",
   "schema": {
    "fields": [
     {
      "name": "scope",
      "type": "string",
      "description": "built (10), top 50 or all 220 products."
     },
     {
      "name": "scenario",
      "type": "string",
      "description": "low, base or high; low and high combine every low or every high input, so they bound the estimate rather than give a confidence interval."
     },
     {
      "name": "families",
      "type": "integer",
      "description": "Families summed: those whose buyers pay a price."
     },
     {
      "name": "families_unpriced",
      "type": "integer",
      "description": "Families in the scope left out because buyers pay no price."
     },
     {
      "name": "revenue_unpriced_24m",
      "type": "integer",
      "description": "Their 24-month revenue, not in revenue_24m."
     },
     {
      "name": "revenue_24m",
      "type": "integer",
      "description": "Gross revenue over 24 months, in reais."
     },
     {
      "name": "buyers_24m",
      "type": "integer",
      "description": "Buyers served."
     },
     {
      "name": "hours_saved_24m",
      "type": "integer",
      "description": "Hours of buyers' work saved."
     },
     {
      "name": "buyer_time_value_24m",
      "type": "integer",
      "description": "Value of those hours, in reais."
     },
     {
      "name": "buyer_time_value_at_own_account_rate_24m",
      "type": "integer",
      "description": "The same hours valued at the own-account rate for every buyer: the floor of the wage assumption."
     },
     {
      "name": "buyer_net_24m",
      "type": "integer",
      "description": "What buyers keep after paying."
     },
     {
      "name": "to_state_tax",
      "type": "integer",
      "description": "Seller's taxes on the revenue."
     },
     {
      "name": "to_payment_platforms",
      "type": "integer",
      "description": "Checkout and payment fees."
     },
     {
      "name": "to_ad_platforms",
      "type": "integer",
      "description": "Paid acquisition."
     },
     {
      "name": "to_seller_before_costs",
      "type": "integer",
      "description": "What remains for the seller before hosting, support and its own time."
     },
     {
      "name": "value_to_price",
      "type": "number",
      "description": "buyer_time_value_24m / revenue_24m."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/economic-value-summary.csv"
    }
   ],
   "group": "value",
   "rows": 9
  },
  {
   "name": "economic-value-split",
   "path": "tables/economic-value-split.csv",
   "profile": "tabular-data-resource",
   "title": "Where the revenue goes",
   "description": "The low, base and high shares of revenue that go to the state as the seller's tax, to payment platforms and to ad platforms, with the table each comes from.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 591,
   "hash": "sha256:f1463a5b3f327e4aba3dde620b642304dff445f78b276facb085a8428caf2905",
   "schema": {
    "fields": [
     {
      "name": "flow",
      "type": "string",
      "description": "The column of economic-value-summary the share fills."
     },
     {
      "name": "share_low",
      "type": "number",
      "description": "Lowest share of revenue."
     },
     {
      "name": "share_base",
      "type": "number",
      "description": "Base share, the one the summary uses in every scenario."
     },
     {
      "name": "share_high",
      "type": "number",
      "description": "Highest share."
     },
     {
      "name": "basis",
      "type": "string",
      "description": "Where the shares come from."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/economic-value-split.csv"
    }
   ],
   "group": "value",
   "rows": 3
  },
  {
   "name": "forced-decisions-stake",
   "path": "tables/forced-decisions-stake.csv",
   "profile": "tabular-data-resource",
   "title": "What an hour of each forced decision is worth",
   "description": "The 24 obligations dated in the next 12 months whose population was counted: how many must decide (corrected where the source counts something else), whose time it is and what one hour of each decision is worth across them at PNAD hourly earnings.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 7830,
   "hash": "sha256:e1ea2d5700dd9e24adc5395a5f9ef5c68d1d88c364d2424ae9544d404b269589",
   "schema": {
    "fields": [
     {
      "name": "obligation_id",
      "type": "string",
      "description": "Row of tables/obligations.csv."
     },
     {
      "name": "date",
      "type": "string",
      "description": "Date as written in the calendar."
     },
     {
      "name": "event",
      "type": "string",
      "description": "What is forced, in English."
     },
     {
      "name": "legal_basis",
      "type": "string",
      "description": "Law, decree or ruling."
     },
     {
      "name": "persona",
      "type": "string",
      "description": "First persona the obligation falls on."
     },
     {
      "name": "wage_tier",
      "type": "string",
      "description": "Whose time is priced: employer, own or person."
     },
     {
      "name": "deciders",
      "type": "integer",
      "description": "How many must decide: the calendar's population, corrected where it counts something else."
     },
     {
      "name": "deciders_basis",
      "type": "string",
      "description": "What the count is."
     },
     {
      "name": "upper_bound",
      "type": "boolean",
      "description": "true when the count includes people the obligation may not reach (\"part of\", \"subset of\")."
     },
     {
      "name": "penalty",
      "type": "string",
      "description": "Penalty or consequence of missing it."
     },
     {
      "name": "software_job",
      "type": "string",
      "description": "The software job it creates."
     },
     {
      "name": "candidates",
      "type": "string",
      "description": "Ideas or families that answer it."
     },
     {
      "name": "wage_low",
      "type": "number",
      "description": "Hourly earnings of the deciders, low (PNAD Contínua, 2nd quarter 2026)."
     },
     {
      "name": "value_of_one_hour_low",
      "type": "integer",
      "description": "deciders x wage: what one hour of the decision is worth across everyone who must make it."
     },
     {
      "name": "wage_base",
      "type": "number",
      "description": "Same, base."
     },
     {
      "name": "value_of_one_hour_base",
      "type": "integer",
      "description": "Same, base."
     },
     {
      "name": "wage_high",
      "type": "number",
      "description": "Same, high."
     },
     {
      "name": "value_of_one_hour_high",
      "type": "integer",
      "description": "Same, high."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/derived/forced-decisions-stake.csv"
    }
   ],
   "group": "value",
   "rows": 24
  },
  {
   "name": "value-assumptions",
   "path": "tables/value-assumptions.csv",
   "profile": "tabular-data-resource",
   "title": "Assumptions of the value model",
   "description": "Every parameter of the value model with low, base and high values, unit, what it applies to, whether it is observed, derived or a judgment, and its source.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 6640,
   "hash": "sha256:da0e2c4f1db6c34e8ce17463aa4142d0909522180c46bd7d399fe1feca7f7d0c",
   "schema": {
    "fields": [
     {
      "name": "id",
      "type": "string",
      "description": "Parameter id."
     },
     {
      "name": "parameter",
      "type": "string",
      "description": "What it is."
     },
     {
      "name": "low",
      "type": "string",
      "description": "Value in the low scenario."
     },
     {
      "name": "base",
      "type": "string",
      "description": "Value in the base scenario."
     },
     {
      "name": "high",
      "type": "string",
      "description": "Value in the high scenario."
     },
     {
      "name": "unit",
      "type": "string",
      "description": "Unit."
     },
     {
      "name": "applies_to",
      "type": "string",
      "description": "Where the model uses it."
     },
     {
      "name": "kind",
      "type": "string",
      "description": "observed, derived, judgment or exclusion."
     },
     {
      "name": "source",
      "type": "string",
      "description": "Source."
     },
     {
      "name": "source_url",
      "type": "string",
      "description": "Source URL."
     },
     {
      "name": "note",
      "type": "string",
      "description": "How it is used."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/release/value-assumptions.csv"
    }
   ],
   "group": "value",
   "rows": 17
  },
  {
   "name": "r50-families-raw",
   "path": "tables/r50-families-raw.csv",
   "profile": "tabular-data-resource",
   "title": "Product families as ranked (raw scoreboard)",
   "description": "The scoreboard the ranking was read from: 222 families (220 ranked products, one module, one distribution channel) with the R50 composite, verdict, best variant, delivery model, prices, base-case revenue over 24 months, the nine criterion scores, the variants merged into each family and the dated window that forces the purchase.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 67165,
   "hash": "sha256:b11788e00777fb424b4b2b2238d7193afdf5b13e6dd75f114386a43028fe9814",
   "schema": {
    "fields": [
     {
      "name": "rank",
      "type": "integer",
      "description": "Rank of the family in the R50 ranking (1 = best); blank for the module and the distribution channel."
     },
     {
      "name": "family_id",
      "type": "string",
      "description": "R50 product family id; joins tables/families.csv."
     },
     {
      "name": "family_name",
      "type": "string"
     },
     {
      "name": "kind",
      "type": "string"
     },
     {
      "name": "score",
      "type": "number"
     },
     {
      "name": "verdict",
      "type": "string",
      "description": "TOP (composite 3.8 or more), GOOD (3.3 to 3.79) or NO (lower, or a hard exclusion); earlier stages use their own labels."
     },
     {
      "name": "best_variant",
      "type": "string"
     },
     {
      "name": "best_variant_name",
      "type": "string"
     },
     {
      "name": "delivery_model",
      "type": "string",
      "description": "offline (runs on the buyer's machine), hybrid (local with an optional cloud part), cloud-light (a small serverless service) or api."
     },
     {
      "name": "entry_price_brl",
      "type": "number",
      "description": "Entry price in reais: a one-time price, the first plan or a starter offer."
     },
     {
      "name": "recurring_price_brl_month",
      "type": "string",
      "description": "Monthly price in reais of the recurring plan, if any."
     },
     {
      "name": "family_base_24m_gross_brl",
      "type": "number"
     },
     {
      "name": "best_variant_base_24m_gross_brl",
      "type": "number"
     },
     {
      "name": "money",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 20: the base case over 24 months; 2 from R$150k, 3 from R$400k, 4 from R$1M, 5 from R$3M (no family reached 5)."
     },
     {
      "name": "salesability",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 15: 5 = strangers buy online without talking to anyone and acquisition costs at most 30% of first-year revenue; 1 = needs sales calls or procurement."
     },
     {
      "name": "bureaucracy",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 15: 5 = none of the nine exposures (fiscal documents, a sector regulator, a professional council, sensitive data in the seller's cloud, government systems, customers' money, platform approvals, liability for professional outputs, partners or procurement); 1 = several severe ones."
     },
     {
      "name": "ops",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 10: 5 = no human support and no rule updates by hand; 1 = continuous compliance tracking and support for each customer."
     },
     {
      "name": "recurrence",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 10: 5 = most revenue recurs with low churn; 1 = a single purchase."
     },
     {
      "name": "speed",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 10: 5 = first sales within two weeks; 1 = more than four months."
     },
     {
      "name": "asymmetry",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 10: 5 = a concrete reason to win now (a deadline, a reform gap, incumbents' pricing); 1 = none."
     },
     {
      "name": "durability",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 5: 5 = demand lasts five years or more and clones can't erase margins quickly; 1 = under a year."
     },
     {
      "name": "risk",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 5: 5 = low legal, liability, platform and ad-policy risk; 1 = high."
     },
     {
      "name": "n_variants",
      "type": "integer"
     },
     {
      "name": "variants",
      "type": "string"
     },
     {
      "name": "sources",
      "type": "string"
     },
     {
      "name": "window",
      "type": "string",
      "description": "The dated rule, season or deadline that forces the purchase."
     },
     {
      "name": "domain",
      "type": "string"
     },
     {
      "name": "note",
      "type": "string"
     },
     {
      "name": "adjusted",
      "type": "string"
     },
     {
      "name": "preliminary",
      "type": "string"
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/top50-scoreboard.csv"
    }
   ],
   "group": "ranking",
   "rows": 222
  },
  {
   "name": "r50-variants-raw",
   "path": "tables/r50-variants-raw.csv",
   "profile": "tabular-data-resource",
   "title": "Scored variants (raw R50 file)",
   "description": "All 331 variants scored on the R50 rubric: delivery, revenue model, buyer type, sales motion, prices, base, low and high 24-month gross revenue, the probability of the base case, nine criterion scores, reported and recomputed composites, hand adjustments and the bureaucracy items each variant carries.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 141092,
   "hash": "sha256:a34104882e23bc7a22aec880d7b7a14b100148e2b27229051d795aa7ec36152e",
   "schema": {
    "fields": [
     {
      "name": "family_id",
      "type": "string",
      "description": "R50 product family id; joins tables/families.csv."
     },
     {
      "name": "family_name",
      "type": "string"
     },
     {
      "name": "family_kind",
      "type": "string"
     },
     {
      "name": "key",
      "type": "string"
     },
     {
      "name": "source",
      "type": "string"
     },
     {
      "name": "id",
      "type": "string"
     },
     {
      "name": "name",
      "type": "string"
     },
     {
      "name": "delivery_model",
      "type": "string",
      "description": "offline (runs on the buyer's machine), hybrid (local with an optional cloud part), cloud-light (a small serverless service) or api."
     },
     {
      "name": "revenue_model",
      "type": "string",
      "description": "one-time, subscription or mixed."
     },
     {
      "name": "buyer_type",
      "type": "string"
     },
     {
      "name": "sales_motion",
      "type": "string"
     },
     {
      "name": "entry_price_brl",
      "type": "number",
      "description": "Entry price in reais: a one-time price, the first plan or a starter offer."
     },
     {
      "name": "recurring_price_brl_month",
      "type": "string",
      "description": "Monthly price in reais of the recurring plan, if any."
     },
     {
      "name": "base_24m_gross_brl",
      "type": "number",
      "description": "Base case of gross revenue over the first 24 months, in reais."
     },
     {
      "name": "low_24m_gross_brl",
      "type": "number",
      "description": "Low case of gross revenue over 24 months, in reais."
     },
     {
      "name": "high_24m_gross_brl",
      "type": "number",
      "description": "High case of gross revenue over 24 months, in reais."
     },
     {
      "name": "p_base",
      "type": "number",
      "description": "The card's probability of reaching at least the base case."
     },
     {
      "name": "money",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 20: the base case over 24 months; 2 from R$150k, 3 from R$400k, 4 from R$1M, 5 from R$3M (no family reached 5)."
     },
     {
      "name": "salesability",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 15: 5 = strangers buy online without talking to anyone and acquisition costs at most 30% of first-year revenue; 1 = needs sales calls or procurement."
     },
     {
      "name": "bureaucracy",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 15: 5 = none of the nine exposures (fiscal documents, a sector regulator, a professional council, sensitive data in the seller's cloud, government systems, customers' money, platform approvals, liability for professional outputs, partners or procurement); 1 = several severe ones."
     },
     {
      "name": "ops",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 10: 5 = no human support and no rule updates by hand; 1 = continuous compliance tracking and support for each customer."
     },
     {
      "name": "recurrence",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 10: 5 = most revenue recurs with low churn; 1 = a single purchase."
     },
     {
      "name": "speed",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 10: 5 = first sales within two weeks; 1 = more than four months."
     },
     {
      "name": "asymmetry",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 10: 5 = a concrete reason to win now (a deadline, a reform gap, incumbents' pricing); 1 = none."
     },
     {
      "name": "durability",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 5: 5 = demand lasts five years or more and clones can't erase margins quickly; 1 = under a year."
     },
     {
      "name": "risk",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 5: 5 = low legal, liability, platform and ad-policy risk; 1 = high."
     },
     {
      "name": "composite_reported",
      "type": "number"
     },
     {
      "name": "composite_recomputed",
      "type": "number"
     },
     {
      "name": "composite_check",
      "type": "string"
     },
     {
      "name": "composite_adjusted",
      "type": "number"
     },
     {
      "name": "verdict_adjusted",
      "type": "string"
     },
     {
      "name": "adjustment_note",
      "type": "string"
     },
     {
      "name": "bureaucracy_items",
      "type": "string",
      "description": "The bureaucracy exposures the card touches (B1-B9) and how the product avoids them."
     },
     {
      "name": "preliminary",
      "type": "string"
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/r50-all-candidates.csv"
    }
   ],
   "group": "ranking",
   "rows": 331
  },
  {
   "name": "wave1-opportunities",
   "path": "tables/wave1-opportunities.csv",
   "profile": "tabular-data-resource",
   "title": "Wave 1 opportunity cards",
   "description": "The 208 opportunity cards written by the 30 wave-1 agents on 11 Oct 2026, scored on the first rubric (demand, willingness to pay, competition gap, channel fit, build ease, low risk, recurrence, defensibility), with price, unit forecasts, target buyers, channels and the forcing function each card cites.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 99360,
   "hash": "sha256:6f1353a449e76de7bbc83a373ee4f2b2522e48626eecad384c9d5969f155da8f",
   "schema": {
    "fields": [
     {
      "name": "id",
      "type": "string"
     },
     {
      "name": "name",
      "type": "string"
     },
     {
      "name": "weighted",
      "type": "number"
     },
     {
      "name": "price_brl",
      "type": "number"
     },
     {
      "name": "units_low",
      "type": "number"
     },
     {
      "name": "units_base",
      "type": "number"
     },
     {
      "name": "units_high",
      "type": "number"
     },
     {
      "name": "demand",
      "type": "number"
     },
     {
      "name": "willingness_to_pay",
      "type": "number"
     },
     {
      "name": "competition_gap",
      "type": "number"
     },
     {
      "name": "channel_fit",
      "type": "number"
     },
     {
      "name": "build_ease",
      "type": "number"
     },
     {
      "name": "low_risk",
      "type": "number"
     },
     {
      "name": "recurrence",
      "type": "number",
      "description": "R50 criterion, 1-5, weight 10: 5 = most revenue recurs with low churn; 1 = a single purchase."
     },
     {
      "name": "defensibility",
      "type": "number"
     },
     {
      "name": "target",
      "type": "string"
     },
     {
      "name": "channels",
      "type": "string"
     },
     {
      "name": "forcing",
      "type": "string"
     },
     {
      "name": "file",
      "type": "string"
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/data/opportunities.csv"
    }
   ],
   "group": "ideas",
   "rows": 208
  },
  {
   "name": "wave1-card-families",
   "path": "tables/wave1-card-families.csv",
   "profile": "tabular-data-resource",
   "title": "Wave 1 cards grouped into families",
   "description": "The wave-1 cards grouped by the synthesis into idea families, with their weighted score, price and base units.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 26405,
   "hash": "sha256:a5cfd3bf336f8f3568cc5ac3a516c91df4c8597d37d79c647934f1bdb4cfe3ed",
   "schema": {
    "fields": [
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      "type": "string"
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     {
      "name": "agent",
      "type": "integer"
     },
     {
      "name": "family",
      "type": "string"
     },
     {
      "name": "name",
      "type": "string"
     },
     {
      "name": "weighted",
      "type": "number"
     },
     {
      "name": "price_brl",
      "type": "number"
     },
     {
      "name": "units_base",
      "type": "number"
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/data/synth-card-families.csv"
    }
   ],
   "group": "ideas",
   "rows": 208
  },
  {
   "name": "wave2-deep-dives",
   "path": "tables/wave2-deep-dives.csv",
   "profile": "tabular-data-resource",
   "title": "Wave 2 deep dives",
   "description": "The 19 product families examined in depth in wave 2: verdict, revenue forecast (base, low, high, net), ten criterion scores, MVP weeks, fiscal and hardware needs, why each wins and fails, spot checks and the red team's verdict.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 21022,
   "hash": "sha256:e11a7ce53e9b3eba2b7161352389248e503e626189064ff8e6a627262881db1a",
   "schema": {
    "fields": [
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      "name": "id",
      "type": "string"
     },
     {
      "name": "family",
      "type": "string"
     },
     {
      "name": "verdict",
      "type": "string",
      "description": "TOP (composite 3.8 or more), GOOD (3.3 to 3.79) or NO (lower, or a hard exclusion); earlier stages use their own labels."
     },
     {
      "name": "rank_band",
      "type": "string"
     },
     {
      "name": "base_24m_gross_brl",
      "type": "integer",
      "description": "Base case of gross revenue over the first 24 months, in reais."
     },
     {
      "name": "base_24m_net_brl",
      "type": "integer"
     },
     {
      "name": "net_basis",
      "type": "string"
     },
     {
      "name": "low_24m_gross_brl",
      "type": "integer",
      "description": "Low case of gross revenue over 24 months, in reais."
     },
     {
      "name": "high_24m_gross_brl",
      "type": "integer",
      "description": "High case of gross revenue over 24 months, in reais."
     },
     {
      "name": "p_base",
      "type": "number",
      "description": "The card's probability of reaching at least the base case."
     },
     {
      "name": "demand",
      "type": "integer"
     },
     {
      "name": "willingness_to_pay",
      "type": "integer"
     },
     {
      "name": "competition_gap",
      "type": "integer"
     },
     {
      "name": "channel_fit",
      "type": "integer"
     },
     {
      "name": "build_ease",
      "type": "integer"
     },
     {
      "name": "low_risk",
      "type": "integer"
     },
     {
      "name": "recurrence",
      "type": "integer",
      "description": "R50 criterion, 1-5, weight 10: 5 = most revenue recurs with low churn; 1 = a single purchase."
     },
     {
      "name": "defensibility",
      "type": "integer"
     },
     {
      "name": "time_to_revenue",
      "type": "integer"
     },
     {
      "name": "ai_leverage",
      "type": "integer"
     },
     {
      "name": "score_sum",
      "type": "integer"
     },
     {
      "name": "mvp_weeks",
      "type": "string"
     },
     {
      "name": "fiscal_homologation",
      "type": "string"
     },
     {
      "name": "hardware",
      "type": "string"
     },
     {
      "name": "why_wins",
      "type": "string"
     },
     {
      "name": "why_fails",
      "type": "string"
     },
     {
      "name": "spot_check",
      "type": "string"
     },
     {
      "name": "redteam_verdict",
      "type": "string"
     },
     {
      "name": "redteam_severity",
      "type": "string"
     },
     {
      "name": "portfolio_role",
      "type": "string"
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/synthesis/w2-scoreboard.csv"
    }
   ],
   "group": "ideas",
   "rows": 19
  },
  {
   "name": "wave3-card-map",
   "path": "tables/wave3-card-map.csv",
   "profile": "tabular-data-resource",
   "title": "Lineage from wave-1 cards to wave-3 merged ideas",
   "description": "How each wave-1 and wave-2 card was merged into a wave-3 idea (merged id), with the wave-1 family and score and the merged idea's wave-3 verdict and composite.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 43188,
   "hash": "sha256:6544ea5f4e673e32cdf340ad3dd6c0c4c477c15d0c96f161a674949b3eb94f84",
   "schema": {
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     {
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     {
      "name": "wave1_family",
      "type": "string"
     },
     {
      "name": "wave1_weighted",
      "type": "number"
     },
     {
      "name": "merged_id",
      "type": "string"
     },
     {
      "name": "merged_name",
      "type": "string"
     },
     {
      "name": "verdict",
      "type": "string",
      "description": "TOP (composite 3.8 or more), GOOD (3.3 to 3.79) or NO (lower, or a hard exclusion); earlier stages use their own labels."
     },
     {
      "name": "composite",
      "type": "number",
      "description": "Weighted mean of the nine R50 criteria (weights 20, 15, 15, 10, 10, 10, 10, 5, 5)."
     }
    ]
   },
   "sources": [
    {
     "title": "br-software-market/data/w3-01-card-map.csv"
    }
   ],
   "group": "ideas",
   "rows": 255
  },
  {
   "name": "wave3-rescore",
   "path": "tables/wave3-rescore.csv",
   "profile": "tabular-data-resource",
   "title": "Wave 3 re-score of the earlier ideas",
   "description": "The 100 merged ideas from waves 1 and 2 re-scored under the wave-3 rubric (paid demand, reach, price power, zero maintenance, zero support, competition gap, demo power, speed, ad safety, synergy), with the lite version, exclusions, evidence, kill reasons and why survivors survive.",
   "format": "csv",
   "mediatype": "text/csv",
   "encoding": "utf-8",
   "bytes": 64138,
   "hash": "sha256:79b722a35e21730a10d5290e158f05ca8b7b6d97584d300dc1819f1239eef040",
   "schema": {
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     {
      "name": "merged_id",
      "type": "string"
     },
     {
      "name": "name",
      "type": "string"
     },
     {
      "name": "lite_version",
      "type": "string"
     },
     {
      "name": "source_ids",
      "type": "string"
     },
     {
      "name": "exclusions",
      "type": "string"
     },
     {
      "name": "paid_demand",
      "type": "integer"
     },
     {
      "name": "reach",
      "type": "integer"
     },
     {
      "name": "price_power",
      "type": "integer"
     },
     {
      "name": "zero_maintenance",
      "type": "integer"
     },
     {
      "name": "zero_support",
      "type": "integer"
     },
     {
      "name": "competition_gap",
      "type": "integer"
     },
     {
      "name": "demo_power",
      "type": "integer"
     },
     {
      "name": "speed",
      "type": "integer",
      "description": "R50 criterion, 1-5, weight 10: 5 = first sales within two weeks; 1 = more than four months."
     },
     {
      "name": "ad_safety",
      "type": "integer"
     },
     {
      "name": "synergy",
      "type": "integer"
     },
     {
      "name": "composite",
      "type": "number",
      "description": "Weighted mean of the nine R50 criteria (weights 20, 15, 15, 10, 10, 10, 10, 5, 5)."
     },
     {
      "name": "verdict",
      "type": "string",
      "description": "TOP (composite 3.8 or more), GOOD (3.3 to 3.79) or NO (lower, or a hard exclusion); earlier stages use their own labels."
     },
     {
      "name": "evidence",
      "type": "string"
     },
     {
      "name": "rank",
      "type": "integer",
      "description": "Rank of the family in the R50 ranking (1 = best); blank for the module and the distribution channel."
     },
     {
      "name": "status",
      "type": "string"
     },
     {
      "name": "composite_prelim",
      "type": "number"
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     {
      "name": "spot_check_change",
      "type": "string"
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     {
      "name": "why_survives",
      "type": "string"
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     {
      "name": "kill_reason",
      "type": "string"
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     {
      "name": "score_notes",
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    ]
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   "sources": [
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     "title": "br-software-market/data/w3-01-rescore.csv"
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   ],
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   "rows": 100
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   "name": "wave3-candidates",
   "path": "tables/wave3-candidates.csv",
   "profile": "tabular-data-resource",
   "title": "Wave 3 candidates",
   "description": "The 132 candidates written by wave-3 vertical agents, scored on the wave-3 rubric, with buyer, entry price, key evidence and the report each comes from.",
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     {
      "name": "entry_price_brl",
      "type": "integer",
      "description": "Entry price in reais: a one-time price, the first plan or a starter offer."
     },
     {
      "name": "paid_demand",
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     },
     {
      "name": "reach",
      "type": "integer"
     },
     {
      "name": "price_power",
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     {
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     {
      "name": "zero_support",
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     {
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     {
      "name": "demo_power",
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     {
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      "description": "R50 criterion, 1-5, weight 10: 5 = first sales within two weeks; 1 = more than four months."
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     {
      "name": "ad_safety",
      "type": "integer"
     },
     {
      "name": "synergy",
      "type": "integer"
     },
     {
      "name": "composite",
      "type": "number",
      "description": "Weighted mean of the nine R50 criteria (weights 20, 15, 15, 10, 10, 10, 10, 5, 5)."
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      "name": "verdict",
      "type": "string",
      "description": "TOP (composite 3.8 or more), GOOD (3.3 to 3.79) or NO (lower, or a hard exclusion); earlier stages use their own labels."
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      "type": "string",
      "description": "The facts the agent cited for the card, as written."
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   "profile": "tabular-data-resource",
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   "description": "36 dated obligations outside the tax reform that force decisions on small firms, professionals or consumers: legal basis, who is forced, population, penalty, enforcement reality, the free government floor, paid tools today, the software job, bureaucracy for a seller, fit and candidate products.",
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   "title": "Regulation summary per archetype",
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     {
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   "description": "40 sales pages of software and kits sold in Brazil: channel, product, checkout, price and anchor, installments, headline, demo, proof, guarantee, bonuses, order bump, upsell, delivery and support promises, tracking, software claims and compliance flags. Seller names and contacts are removed.",
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   "description": "24 fiscal API vendors (NF-e, NFC-e, NFS-e, CT-e, MDF-e): reform readiness, pricing, cost per document, certificate custody, contingency, status pages, incidents, SLA and contract terms.",
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