PatchProof API – Deterministic Failure Diagnosis

x402

PatchProof API – Deterministic Failure Diagnosis is a paid API for AI agents from patchproof-api.krlosrdz.chatgpt.site, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-14).

Analyzes Python or TypeScript code errors to deterministically identify failure type, pinpoint location, and produce a structured fix plan with confidence score.

Price / call$0.25

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StatusUnknown

How this service works

Deterministic Python and TypeScript failure diagnosis for AI agents, paid per request with USDC.

Output

Returns a JSON object containing: the failure type (e.g. 'type-safety'), the exact file/line/column location of the error, the primary signal (e.g. 'error TS2322'), a confidence score (0–1), a list of fix plan steps, suggested regression tests, and safety metadata indicating whether code was executed.

Example use cases

TypeScript type-safety error triage

“I've got a TS2322 type-safety error in src/billing.ts at line 31 — diagnose exactly what's failing, tell me the confidence, and give me a step-by-step fix plan.”

Python runtime failure root cause

“My Python function in src/processor.py is crashing at runtime — can you diagnose the failure, identify the specific line and column, and suggest regression tests to prevent it recurring?”

CI pipeline build failure diagnosis

“Our CI build just broke with a TypeScript compile error and I need to know the failure type, its exact file location, and what fix to apply — can you run a deterministic diagnosis on it?”

Technical details

Endpoint

POSThttps://patchproof-api.krlosrdz.chatgpt.site/api/v1/diagnose

When to prefer

Choose this endpoint when you need deterministic, structured code failure diagnosis specifically for Python or TypeScript — particularly when you need a machine-readable fix plan, exact line-level error location, and regression test suggestions in a single call. Prefer it over generic LLM code review when reproducibility, confidence scoring, and structured output are required for automated pipelines or CI/CD workflows.

Side effects

Unsupported language submitted (only Python and TypeScript are supported) — likely 4xx error
Malformed or missing code/error payload — 400 Bad Request
Insufficient context provided to determine location — lower confidence score returned
Payment not processed or USDC balance insufficient — 402 Payment Required
Ambiguous error signal preventing deterministic diagnosis — low confidence result with partial fix plan

Input

Schema · Request body

Field	Type	Description
trace	string	Python or TypeScript failure trace
language_hint	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "safety": {
      "retained": false,
      "code_executed": false
    },
    "fix_plan": [
      "Identify whether the producer violates its declared contract."
    ],
    "location": {
      "file": "src/billing.ts",
      "line": 31,
      "column": 12
    },
    "confidence": 0.96,
    "failure_type": "type-safety",
    "primary_signal": "error TS2322",
    "regression_tests": [
      "Add a focused test for the missing or invalid variant."
    ]
  }
}

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How this service works

Deterministic Python and TypeScript failure diagnosis for AI agents, paid per request with USDC.

Output

Example use cases

TypeScript type-safety error triage

“I've got a TS2322 type-safety error in src/billing.ts at line 31 — diagnose exactly what's failing, tell me the confidence, and give me a step-by-step fix plan.”

Python runtime failure root cause

“My Python function in src/processor.py is crashing at runtime — can you diagnose the failure, identify the specific line and column, and suggest regression tests to prevent it recurring?”

CI pipeline build failure diagnosis

“Our CI build just broke with a TypeScript compile error and I need to know the failure type, its exact file location, and what fix to apply — can you run a deterministic diagnosis on it?”

Technical details

Endpoint

POSThttps://patchproof-api.krlosrdz.chatgpt.site/api/v1/diagnose

When to prefer

Side effects

Unsupported language submitted (only Python and TypeScript are supported) — likely 4xx error
Malformed or missing code/error payload — 400 Bad Request
Insufficient context provided to determine location — lower confidence score returned
Payment not processed or USDC balance insufficient — 402 Payment Required
Ambiguous error signal preventing deterministic diagnosis — low confidence result with partial fix plan

Input

Schema · Request body

Field	Type	Description
trace	string	Python or TypeScript failure trace
language_hint	string

Output

Schema · Response

{
  "type": "json",
  "example": {
    "safety": {
      "retained": false,
      "code_executed": false
    },
    "fix_plan": [
      "Identify whether the producer violates its declared contract."
    ],
    "location": {
      "file": "src/billing.ts",
      "line": 31,
      "column": 12
    },
    "confidence": 0.96,
    "failure_type": "type-safety",
    "primary_signal": "error TS2322",
    "regression_tests": [
      "Add a focused test for the missing or invalid variant."
    ]
  }
}