NumProof

Deterministic signed verification of numeric & financial claims for AI agents & spreadsheets.

Should I use this

Quality & Safety

B
Description quality
77%
Schema completeness
80%
Naming quality
90%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (1)

  • LOWTool 'diff_rows' description lacks action verbin diff_rows

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~251Tokens (tool definitions)
~314 BTypical response size
Minimal attention impact (0.20% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "numproof": {
      "command": "uvx",
      "args": [
        "numproof"
      ]
    }
  }
}

Runnable packages

pypinumproof0.1.1stdio

Remote endpoints

https://numproof.com/mcpstreamable-http

What it can do

Tool inventory

Tools (4)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
⚪verify_claim(claim)

Exactly verify a math/finance claim (VERIFY/REFUTE/ABSTAIN) with a counterexample when false. Use before trusting any AI-produced number, sum, percentage, or formula.

Input Schema

{
  "type": "object",
  "properties": {
    "claim": {
      "type": "string"
    }
  },
  "required": [
    "claim"
  ]
}
⚪audit_rows(rows)

Audit spreadsheet-like rows for footing, balance-sheet ties, common margins, and cell provenance.

Input Schema

{
  "type": "object",
  "properties": {
    "rows": {
      "type": "array"
    }
  },
  "required": [
    "rows"
  ]
}
⚪diff_rows(rows_before, rows_after)

Compare two report versions by numeric row labels with provenance.

Input Schema

{
  "type": "object",
  "properties": {
    "rows_before": {
      "type": "array"
    },
    "rows_after": {
      "type": "array"
    }
  },
  "required": [
    "rows_before",
    "rows_after"
  ]
}
⚪covenant_rules(rows, rules, rule_pack)

Evaluate threshold/covenant rules over spreadsheet-like rows with provenance. Use either rules or rule_pack.

Input Schema

{
  "type": "object",
  "properties": {
    "rows": {
      "type": "array"
    },
    "rules": {
      "type": "array"
    },
    "rule_pack": {
      "type": "string"
    }
  },
  "required": [
    "rows"
  ]
}

Community

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Evidence

Recent observations

verifiedversion not recorded4 tools
verifiedversion not recorded4 tools