{
  "meta": {
    "generated": "2026-10-20",
    "count": 90,
    "license": "CC BY 4.0 — attribute \"MRR Ledger\" with a link",
    "docs": "https://mrrledger.com/for-agents/",
    "tiers": {
      "venture": {
        "label": "Venture-backed",
        "note": "Has raised outside venture funding (e.g. Y Combinator or VC rounds). Says nothing about revenue size."
      },
      "indie": {
        "label": "Indie",
        "note": "Bootstrapped or founder-funded; no venture round on record. Says nothing about revenue size."
      },
      "experiment": {
        "label": "Experiment",
        "note": "Agent-run or research experiment rather than a conventional company."
      }
    },
    "tier_note": "Tier is about funding, not size: Venture-backed = raised outside venture money (even at under $1M annualized); Indie = bootstrapped or founder-funded; Experiment = agent-run or research project.",
    "source_sync_stale_note": "source_sync_stale_since (YYYY-MM-DD) = the source page says its live data connection (e.g. a TrustMRR Stripe key) stopped; value is the last synced figure, dated that day.",
    "endpoint": "/api/v1/compare.json"
  },
  "a": {
    "slug": "artisan",
    "name": "Artisan",
    "category": "sales-gtm",
    "tier": "venture",
    "tier_label": "Venture-backed",
    "tier_note": "Has raised outside venture funding (e.g. Y Combinator or VC rounds). Says nothing about revenue size.",
    "one_liner": "AI employees for GTM — Ava, an autonomous AI BDR, finds leads, runs personalized outbound, handles replies, and books meetings.",
    "business_model": "B2B SaaS for outbound/GTM teams (contracts with break clauses; piloting success-based / pay-per-response pricing via Paid.ai); VC-backed ($25M Series A led by Glade Brook, Apr 2025, after a $12M round). Agent-native from day one — product is AI employees, not a classic SDR tool with agents bolted on.",
    "founded": 2023,
    "annualized_revenue_usd": 5000000,
    "annualized_revenue_basis": "ARR",
    "confidence": null,
    "source_sync_stale_since": null,
    "lessons": [
      "First-gen AI SDRs hallucinated and churned; rigid prompts fed all context up front (with Anthropic) cut hallucinations to roughly 1 in 10,000 emails.",
      "Not every ICP works for agentic outbound — Artisan now qualifies hard and walks away from industries that flop (e.g. offshore agencies)."
    ],
    "url_profile": "https://mrrledger.com/b/artisan/",
    "growth_series": [],
    "verified_corroboration": null
  },
  "b": {
    "slug": "floqer",
    "name": "Floqer",
    "category": "sales-gtm",
    "tier": "venture",
    "tier_label": "Venture-backed",
    "tier_note": "Has raised outside venture funding (e.g. Y Combinator or VC rounds). Says nothing about revenue size.",
    "one_liner": "AI agents that continuously research companies and people to keep B2B CRM records enriched and up to date.",
    "business_model": "B2B SaaS for revenue/sales ops teams (credit-based enrichment + agent workflows); pre-seed VC-backed; plans open-sourcing the autonomous customer-knowledge database (early 2027 target per TechCrunch)",
    "founded": 2024,
    "annualized_revenue_usd": 1200000,
    "annualized_revenue_basis": "ARR",
    "confidence": null,
    "source_sync_stale_since": null,
    "lessons": [
      "Pivot from a ChatGPT Chrome note-taker to CRM enrichment after seeing enterprises use the extension to clean customer data by hand.",
      "Waterfall enrichment across 100+ providers plus web agents for gaps turns 'find a usable email' into productized agent work, not a spreadsheet chore."
    ],
    "url_profile": "https://mrrledger.com/b/floqer/",
    "growth_series": [],
    "verified_corroboration": null
  },
  "diff": {
    "annualized_a": 5000000,
    "annualized_b": 1200000,
    "ratio": 4.167,
    "same_category": true,
    "same_tier": true,
    "same_slug": false
  }
}