io.github.Vektoris-AI/proofetch
Verified extraction: source-backed JSON from PDFs/URLs; honest null + signed receipt.
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
claude mcp add --transport http proofetch 'https://proofetch-vektoris-ai-workflows.vercel.app/mcp'
{
"mcpServers": {
"proofetch": {
"type": "http",
"url": "https://proofetch-vektoris-ai-workflows.vercel.app/mcp"
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
Contents
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
curl -X POST https://proofetch-vektoris-ai-workflows.vercel.app/extract \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"source": { "type": "pdf_url", "value": "https://example.com/invoice.pdf" },
"targetSchema": {
"type": "object",
"properties": {
"invoice_total": { "type": "string" },
"due_date": { "type": "string" },
"invoice_number":{ "type": "string" }
},
"additionalProperties": false
}
}'
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": {
"invoice_total": "1,190.00 EUR",
"due_date": "2024-09-30",
"invoice_number": null // honest null — not found in source
},
"fields": [
{ "path": "invoice_total", "value": "1,190.00 EUR", "verdict": "PASS",
"provenance": { "quote": "1,190.00 EUR", "start": 43, "end": 55 } },
{ "path": "invoice_number", "value": null, "verdict": "FAIL", "provenance": null }
],
"verdict": "PARTIAL",
"receipt": { "v": 1, "jobId": "pf_…", "outputHash": "sha256:…" },
"billing": { "charged": true, "amountCents": 4 }
}
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):
{
"mcpServers": {
"proofetch": {
"type": "streamable-http",
"url": "https://proofetch-vektoris-ai-workflows.vercel.app/mcp",
"headers": { "Authorization": "Bearer YOUR_API_KEY" }
}
}
}
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).
Frequently asked questions
What is io.github.Vektoris-AI/proofetch?
Verified extraction: source-backed JSON from PDFs/URLs; honest null + signed receipt.
How do I install io.github.Vektoris-AI/proofetch?
It runs as a remote server. In Claude Code: claude mcp add --transport http proofetch 'https://proofetch-vektoris-ai-workflows.vercel.app/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.
Does io.github.Vektoris-AI/proofetch need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is io.github.Vektoris-AI/proofetch open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains io.github.Vektoris-AI/proofetch?
It is published by Vektoris-AI. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.