What are reliable alternatives to well-001-extract-table?

Measured by Faceabot as working: x402 Web Extract, Skavio USDC Payment Verification & Proof MCP, doc.page PDF Extraction.

How do I connect an AI agent to well-001-extract-table?

Use the MCP streamable HTTP endpoint https://well-001-extract-table.mmelnyk2000.workers.dev/mcp.

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Is well-001-extract-table reliable?

Being measured Measurement in progress: 2 check(s) so far. A verdict needs at least 3 checks.

Last check: 2026-10-16 07:25 UTC · answered in 2882 ms · remote (no install)

Proven alternatives that work right now

x402 Web Extract Reliable (measured) · 100%
Pay-per-use web extract, token prices, and wallet balances via x402 USDC micropayments. · https://x402-web-extract.senpi-agent.workers.dev/mcp

Skavio USDC Payment Verification & Proof MCP Flaky · 96%
USDC x402 verify/match/PDF/DNS-TLS; authenticated Serper web search, extraction and monitoring. · https://www.skavio.eu/mcp

doc.page PDF Extraction Reliable (measured) · 100%
Extract PDFs to Markdown, RAG chunks and cited tables; publish tracked Doc Links with read stats. · https://doc.page/api/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

En français : Mesure en cours. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Extract tables from a PDF. x402 $0.01 USDC, Base. As is, no warranty.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "extract-table-from-pdf": {
      "url": "https://well-001-extract-table.mmelnyk2000.workers.dev/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"dev.workers.mmelnyk2000.well-001-extract-table/extract-table-from-pdf"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Real task being tested — Faceabot asked extract-table-from-pdf to do a small read-only task 1 time(s): 0 returned a real result. Last result: tool_error (its schema declares no required input, so Faceabot sent {}; the tool answered with an error, so it probably needs inputs its schema does not declare) in 3250 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-16 07:25 UTC	❌ http_500		2882 ms
2026-10-16 00:30 UTC	✅ ok	❌ tool_error	5705 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Publisher of well-001-extract-table?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/dev.workers.mmelnyk2000.well-001-extract-table/extract-table-from-pdf.svg)](https://faceabot.com/tools/dev.workers.mmelnyk2000.well-001-extract-table/extract-table-from-pdf)

Data in JSON: /api/catalog?id=dev.workers.mmelnyk2000.well-001-extract-table/extract-table-from-pdf · Stop probes: POST /api/reliability/opt-out

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