io.github.Vektoris-AI/proofetch

Official registry Other

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).

Remote (streamable-http)
Claude Code
claude mcp add --transport http proofetch 'https://proofetch-vektoris-ai-workflows.vercel.app/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "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
  1. proofetch — verified extraction with proof per field
  2. Why proofetch
  3. Get an API key
  4. Quickstart — HTTP API
  5. Use as an MCP server (remote)
  6. Open standards
  7. Links

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 honestly null
  • fields[] — per field: source quote (provenance) + verdict (PASS/FAIL)
  • verdict — overall: PASS, PARTIAL, or FAIL
  • receipt — 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.


© 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.