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Delx API Error Taxonomy
x402
Delx API Error Taxonomy is a paid API for AI agents from api.delx.ai, paid per call via x402, $0.003/call, status unknown (last checked 2026-09-15).
Classifies an HTTP status code and optional response body into a structured error taxonomy with retry and remediation guidance
Price / call$0.003
Success—
StatusUnknown
How this service works
Classify an HTTP outcome for retry and remediation without returning its body. Use it as a bounded preflight or analysis step inside an enterprise agent workflow before data, policy, integration, security, or commercial decisions reach production. Returns deterministic machine-readable JSON for $0.003 USDC via x402 on Base. Execution is first-party, local-only, stateless, memory-only, and has no paid upstream or input retention. Results are advisory; the caller remains responsible for authoriza…
Output
Returns deterministic machine-readable JSON containing the error classification (category, type, severity), whether the error is retryable, recommended retry strategy or backoff guidance, and remediation advice — all derived locally and statelessly from the provided status code and body.
Example use cases
Retry decision in integration pipeline
“I got a 429 back from a downstream API with body 'Rate limit exceeded, retry after 60s' — classify this error and tell me whether my agent should retry and when.”
Triage fatal vs transient errors
“Before my workflow re-queues this failed request, classify status code 502 with an empty body so I know if it's a transient gateway issue or something I need to escalate.”
Preflight check before commercial decision
“Classify this HTTP 403 error with body 'Access denied: insufficient permissions' — I need to know the error category and recommended remediation before my agent proceeds with the payment step.”
Technical details
Endpoint
POSThttps://api.delx.ai/api/v1/x402/api-error-taxonomyWhen to prefer
Choose this endpoint when you need deterministic, machine-readable HTTP error classification inside an automated agent workflow — especially for preflight decisions before retrying, escalating, or routing failed API calls. Prefer it over ad-hoc conditional logic when you need structured, consistent taxonomy across many error types without retaining sensitive response payloads.
Side effects
- Missing or invalid status_code field returns an error response
- Unrecognized or non-standard status codes may yield a generic classification
- Very large or malformed body strings may be truncated or rejected
- Network issues reaching the endpoint return no taxonomy result
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| body | string | Input field: body. |
| status_code | number | Input field: status_code. |
Output
Schema · Response
{
"type": "json",
"example": {
"schema": "delx/util-api-error-taxonomy/v1",
"category": "upstream_transient",
"retryable": true,
"body_sha256": "93a8ba7fde7cf39ab2dea97fc62f4352331bc174e3c4fbed390d9a8153f4787c",
"status_code": 503,
"body_returned": false
}
}Tags
x402
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