🪧 OpenPitch
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
**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 →**
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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