Server data from the Official MCP Registry
Verified extraction: source-backed JSON from PDFs/URLs; honest null + signed receipt.
About
Verified extraction: source-backed JSON from PDFs/URLs; honest null + signed receipt.
Remote endpoints: streamable-http: https://proofetch-vektoris-ai-workflows.vercel.app/mcp
Security Report
Valid MCP server (1 strong, 1 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.
Endpoint verified · Requires authentication · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-vektoris-ai-proofetch": {
"url": "https://proofetch-vektoris-ai-workflows.vercel.app/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub 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
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).
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