A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
10 ★ · Avierovich/openpitch · read from the repository page · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 10 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository Avierovich/openpitch;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
**The open, real-time intelligence layer for AI startups — that any agent can build on.** *A free, open-source alternative to PitchBook & CB Insights, focused on the AI companies VCs actually care about.* MCP-native · zero-cost · fully-sourced · updated daily > **Status: v0.1.3 — functional.** The pipeline, reconciliation engine, MCP server, and > dashboard all work end-to-end. Coverage and source breadth keep growing via the daily run. **Browse the live dashboard →** --- Why OpenPitch exists PitchBook and CB Insights cost **$20k+/year** — and for fast-moving AI startups, their data is often **months stale**, because human verification is slow. For a company growing 3× a year, a figure verified six months ago can be off by multiples. Meanwhile, the real numbers are **already public**: founders state ARR on podcasts weeks before any database, funding hits SEC filings, hiring velocity reveals growth. They're just scattered, unstructured, and contradictory — exactly the problem an AI agent is built to solve. **OpenPitch's bet is latency, not coverage.** For the AI companies that matter, a *fresh, fully-sourced, confidence-scored* number beats a *verified-but-stale* one. We don't claim certainty — we show you the receipts. What you get Ask your coding agent, get an answer with receipts: *(A real answer from the committed data — check it against the live dashboard.)* Every number carries **its source, a confidence score, and a tracked history** of how it changed. Features - 🎙️ **Mines podcasts** — founders leak metrics on podcasts before any database catches them. We transcribe and extract them. - 🧾 **Always sourced** — every figure links to its origin (podcast timestamp, filing, article). No black-box numbers. - 📊 **Confidence-scored** — built from source reliability, speaker authority, corroboration, and freshness (confidence *decays* as data ages). - 🔀 **Reconciles conflicts** — when sources disagree, you get a consensus range + a contradiction flag, not a silent guess. - 🧠 **Learns which sources to trust** — sources that prove right over time earn more weight. - 🕒 **Version-tracked** — the git history *is* the audit log. See exactly how a company's reported ARR evolved. - 📡 **Composable** — emits typed events other agents subscribe to (newsletters, press alerts, investor outbound). - 🤝 **A2A-discoverable** — ships an A2A agent card so agent ecosystems can find and describe it. - 🧯 **Grounding** — give your AI a sourced, confidence-scored fact base so it stops making up AI-company numbers. - ⚡ **60-second install** — no key, no signup; works in your agent in under a minute. - 💸 **Genuinely free** — runs entirely on free tiers. No cost to run, no cost to use. Quickstart — use it in Claude Code / Codex **No API key. No signup. No cost.** The data is already built and committed; the MCP server just reads it, and *your* agent does the reasoning. **Fastest — zero install** (reads the committed data from the public repo, no clone): **Or install the package:** **Or run from a clone** (for the pipeline / to rebuild data): Then point your agent at the local server: Ask your agent: *"What's Cognition's ARR, with sources and confidence?"* — it calls get_metric/get_provenance and answers from committed data (and will flag the public-source discrepancy). Or just browse the data - 🌐 **Live dashboard** — avierovich.github.io/openpitch (sourced company cards, refreshed daily) — or build locally: openpitch build-dashboard - 📁 **Raw data** — data/companies/ — plain JSON, diffable, yours to use - 🤝 **A2A Agent Card** — generated at dashboard/dist/.well-known/agent.json