MRR Ledger

Use when the user gives their own MRR or asks whether their revenue is good compared with similar AI businesses. Returns where an MRR ranks among fresh same-category MRR peers (rank of N + 1 comparable). Example: {"category":"customer-support","mrr":2000} -> your rank among the customer-support MRR peers + 1 comparable. Also: N, basis, verification date, peer caveat; no growth numbers yet; your MRR is never stored. Cost: free (100 calls/day without a key).

Use when the user asks to compare two AI companies (X vs Y) on revenue or business model. Returns two businesses side by side (tier, category, annualized revenue + basis, pricing model, founded, top lessons, growth) and a diff with the revenue ratio. Example: {"a":"cursor","b":"lovable"} -> Cursor vs Lovable with the revenue ratio. Cost: free (100 calls/day without a key).

Returns the Reported AI Revenue Tracker in one call: AI businesses whose figures all come from press coverage, company announcements or filings (reported, not payment-verified), every figure with its as-of date and source_url, plus dated readings. format "csv" ($0.25 USDC via x402) or "jsonl" ($0.50); optional slug = one business, same price. Unpaid call = free preview + exact terms; nothing is charged without a signed payment. Free 10-row preview: https://mrrledger.com/data/reported/?ref=mcptool

Use when the user names one AI company or agent (e.g. Cursor, Lovable) and asks about its revenue, pricing model or growth. Returns one business's full sourced record. Example: {"slug":"cursor"} -> Cursor with every figure and its source. Use it when you already have the slug (from search_businesses or leaderboard); it is the fullest view: every dated revenue figure (label, value, as_of, source_url), what it does, model, tier, lessons, growth series, related businesses, and the verification_label ("reported, not payment-verified" unless processor-verified). Unknown slug -> isError. Cost: free (100 calls/day without a key).

Returns one category: count, median annualized revenue (overall, by tier) and members with rank and revenue. Example: {"slug":"customer-support"} -> the customer-support agents with their revenue. Unknown slug -> isError. Cost: free (100 calls/day without a key).

Use when the user asks how fast an AI company grew or for its revenue over time. Returns one business's dated revenue series, oldest first (as_of, annualized_usd, label, value_usd, source_url; MRR x12). Example: {"slug":"lovable"} -> Lovable's dated ARR points with sources. Unknown slug -> isError. Cost: free (100 calls/day without a key).

Returns one tag: count, median annualized revenue and members with rank and revenue. Example: {"slug":"vibe-coding"} -> every business tagged vibe-coding. Unknown slug -> isError. Cost: free (100 calls/day without a key).

Returns dataset totals: business, ranked and lesson counts, counts per category and tier, median annualized revenue, payment-verified share, latest change date. Example: {} -> {business_count, ranked_count, median_annualized_usd, ...}. Cost: free (100 calls/day without a key).

Use when the user asks which AI agents or AI startups make the most money, or for a top-N revenue ranking. Returns businesses ranked by latest sourced annualized revenue, highest first (same briefs, with verification_label, as search_businesses). Example: {"category":"coding-agents","limit":5} -> the top 5 coding agents by revenue. Use it for a pure ranking or top-N, optionally per category or verified_only (limit max 50); it has no keyword search, use search_businesses for that. Cost: free (100 calls/day without a key).

Returns every category with count, median annualized revenue and members (slug, name, rank, revenue). Example: {"limit":3} -> the first 3 categories with their members. Cost: free (100 calls/day without a key).

Returns every tag with count, median annualized revenue and members, most used first. Example: {"limit":10} -> the 10 most-used tags. Cost: free (100 calls/day without a key).

Use when the user asks how much revenue, MRR or ARR an AI agent, AI startup or AI tool makes, or wants real examples of AI businesses in a niche (support, coding, voice, sales, automation...). Returns AI-agent businesses with sourced, dated revenue (start here). Example: {"query":"coding","limit":3} -> 3 coding agents with their sourced revenue. Use it to find or filter businesses (keyword, category, tier, verified_only) when you have no slug; for a pure top-N use leaderboard, for one full record get_business. Each brief: slug, name, category, tier, one_liner, annualized_revenue_usd, basis, confidence, verification_label ("reported, not payment-verified" unless processor-verified), url_profile; + total + next page (offset/cursor, limit max 50). Empty query = all, highest revenue first. Cost: free (100 calls/day without a key).

Returns builder lessons from every business, each with its business and themes; filter by query and/or theme, limit (max 50). Example: {"theme":"pricing","limit":5} -> 5 pricing lessons and their businesses. Cost: free (100 calls/day without a key).

Returns today's featured business (rotates daily): one full profile, same shape as get_business. Example: {} -> one business record. Cost: free (100 calls/day without a key).

Use when the user asks what is new or what changed recently in AI startup revenue figures. Returns the change log, newest first: businesses added and figures added, revised, re-dated or removed, each with source_url; filters since (YYYY-MM-DD), slug, kind, limit (max 100). Example: {"since":"2026-10-14"} -> every change since Oct 14, 2026. Cost: free (100 calls/day without a key).