
Proofetch
io.github.Vektoris-AIv0.0.2更新于 Sep 29, 2026
Verified extraction: source-backed JSON from PDFs/URLs; honest null + signed receipt.
安装
在 SourceWeft 中
- 打开 控制台中的 Proofetch,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。
{
"mcpServers": {
"proofetch": {
"type": "http",
"url": "https://proofetch-vektoris-ai-workflows.vercel.app/mcp"
}
}
}README
proofetch — verified extraction with proof per field
Structured data from PDFs and web pages, where every value is backed by an exact source quote — or honestly left null. Never guessed. Each result ships with a cryptographically signed receipt you can verify yourself.
proofetch is a hosted MCP server and HTTP API built for developers and AI agents. You pay only for fields that pass the proof — €0.02 per verified field. Empty or unprovable fields cost nothing.
- 🔗 Landing page & pricing: https://vektoris.de/proofetch
- 🤖 MCP endpoint (remote):
https://proofetch-vektoris-ai-workflows.vercel.app/mcp - 🧾 Listed in the official MCP registry:
io.github.Vektoris-AI/proofetch
This repository is the public connector & documentation for the hosted proofetch service. The extraction pipeline itself is operated as a service — you don't self-host it, you call it with an API key.
Why proofetch
Normal extraction fills every field — even when the value is invented. You then have to re-check every number by hand. proofetch is different:
- Never guesses. Unsure? The field is
null+ flagged, instead of a fabricated value. - Provenance per field. Every value comes with the exact source quote, verifiable against the original document.
- Signed receipt. The result is sealed in a signed receipt (Ed25519) — you, or an escrow, verify it without having to trust us.
- Pay for truth only. Billing is per field that passes the proof (
verdict: PASS).
Get an API key
Buy prepaid balance (from €5) on the landing page — you get your key instantly after payment:
👉 https://vektoris.de/proofetch#preise
Quickstart — HTTP API
Source types (source.type): pdf_url, pdf_base64, url, text, html.
targetSchema is a standard JSON Schema (type: "object", properties, additionalProperties: false).
What you get back
data— clean JSON, each field proven or honestlynullfields[]— per field: source quote (provenance) +verdict(PASS/FAIL)verdict— overall:PASS,PARTIAL, orFAILreceipt— signed proof with hashes, self-verifiable
Check your balance any time: GET /billing/balance with the same key.
Use as an MCP server (remote)
proofetch speaks the Model Context Protocol over Streamable HTTP. Point any MCP-capable client at the remote endpoint with your key as a bearer token.
Endpoint: https://proofetch-vektoris-ai-workflows.vercel.app/mcp
Auth: Authorization: Bearer YOUR_API_KEY
Tool: verified_extract — same contract as the HTTP API above.
Example client config (generic MCP streamable-http remote):
Open standards
proofetch is built for autonomous agents: discoverable via the A2A card and MCP, payable per call via x402 / AP2, and every receipt is independently verifiable.
Links
- Landing page & pricing — https://vektoris.de/proofetch
- Official MCP registry — https://registry.modelcontextprotocol.io/?search=proofetch
- Operated by Vektoris — https://vektoris.de
© Vektoris. The proofetch service and pipeline are proprietary; this connector/documentation is provided under the MIT License (see LICENSE).
来源:README.md,提交 52ce974
工具
0版本历史
1- v0.0.2最新Sep 16, 2026