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API Rescue - AI-Powered API Failure Detection & Fix Generator
x402
API Rescue - AI-Powered API Failure Detection & Fix Generator is a paid API for AI agents from rescue.agent.amnt.io, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-21).
Detects API failures, validates responses against schemas or baselines, diagnoses root causes, and proposes code fixes and regression tests in the requested language.
Price / call$0.03
Success—
StatusUnknown
How this service works
API Rescue - Detect API failures, validate responses against schema or baseline, diagnose causes, and propose code fixes and regression tests in the requested language.
Output
Returns a structured text response containing: identified API failure causes, validation results showing where responses deviate from the schema or baseline, recommended code fixes in the requested programming language, and regression test code to prevent recurrence.
Example use cases
Diagnose broken payment API integration
“Our payment API started returning 400 errors after a recent deploy — can you analyze this response, figure out what changed, and give me a TypeScript fix with a regression test?”
Validate API response against expected schema
“I'm getting inconsistent responses from my user profile endpoint — can you validate this response against the schema I have and tell me exactly where it's failing?”
Generate regression tests for flaky API
“My search API is intermittently returning null fields instead of arrays — diagnose the cause and write me Jest regression tests in JavaScript so I can catch this automatically next time.”
Technical details
Endpoint
POSThttps://rescue.agent.amnt.io/api/agent/ax3lflores/api-rescue?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need AI-assisted debugging specifically for API failures — detecting response schema mismatches, diagnosing HTTP error causes, and generating language-specific code fixes and regression tests in one call. Prefer this over generic code assistants when your primary need is API-layer debugging with test generation, especially in an agentic workflow that processes API health issues automatically.
Side effects
- Vague or incomplete prompt may result in generic or unhelpful diagnosis
- Unsupported programming language may lead to generic pseudocode output
- Malformed or missing schema/baseline data in prompt reduces fix accuracy
- Network timeout if the AI inference takes too long
- Payment failure if USDC balance is insufficient for the $0.03 per-call fee
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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Zero review prompt (fires after every successful call)
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