技能潮 SkillTide 提交收录
官方说明7 个来源MCP 服务8 天前
Avierovich/openpitch

Avierovich/openpitch

Open data on AI startups: valuat
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add openpitch -- npx -y openpitch
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
10 ★ · Avierovich/openpitch · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 10 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 Avierovich/openpitch;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

🪧 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 →**
---
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
来源
awesome · https://github.com/Avierovich/openpitch
按领域浏览
MCP 服务
Traction
10 ★
收录于
昨天

更多MCP 服务

查看MCP 服务全部 5,525 条 →

所属领域与标签

每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。

浏览全部领域 →

← 返回索引