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Bounty Engineer Retry Policy Planner
x402
Bounty Engineer Retry Policy Planner is a paid API for AI agents from bounty-engineer-x402-prod.onrender.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-12).
Given a failed API call's error context, computes a structured retry schedule with delays, decision (retry or abort), and safety caveats for autonomous agents.
Price / call$0.002
Success—
StatusUnknown
How this service works
Machine-buyable infrastructure for autonomous agents: API cost routing, margin optimization, funding-rate data, webpage extraction, result verification, spend controls, retry planning, state, tender search and GitHub bounty intelligence.
Output
Returns a JSON object with a retry decision ('retry' or 'abort'), a reason for the decision, a scheduled list of future attempts with per-attempt delay_ms values, the current attempt number, error context, idempotency status, and a limitations array warning about transport-layer vs. semantic safety of retries.
Example use cases
Rate-limited API retry planning
“My agent just hit a 429 rate limit on its first attempt out of a max of 4. The base delay is 1500ms, max delay is 5000ms, it's an idempotent call with no side effects — what's the full retry schedule?”
Safe retry after transient server error
“I got a 503 error on attempt 2 of 3. The call might have a side effect and I'm not sure if it's idempotent. Base delay is 2000ms, max 4000ms. Should I retry and if so, when?”
Abort decision for non-retryable failure
“My agent got a 400 bad request error on attempt 1 of 3. Error code is 'invalid_input', the request is not idempotent, and there are possible side effects. Should it retry or give up?”
Technical details
Endpoint
POSThttps://bounty-engineer-x402-prod.onrender.com/v1/retry-policy-plan?utm_source=zero.xyzWhen to prefer
Use this endpoint when your autonomous agent needs deterministic, policy-driven retry scheduling after a failed downstream API call — especially when balancing exponential backoff, rate-limit hints, idempotency safety, and side-effect risk. Prefer this over hardcoded retry logic when the agent must adapt delay schedules to varying error codes, attempt counts, or server-specified retry-after intervals.
Side effects
- Missing or invalid required fields may return a malformed or default response
- If max_attempts is already reached the decision will be 'abort'
- Non-retryable status codes (e.g. 400, 401) will return an abort decision
- Ambiguous side_effect_possible=true with non-idempotent requests will include strong safety warnings
- Network timeout to the endpoint itself may require client-side retry of this planning call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| attempt | integer | |
| error_code | string | |
| idempotent | boolean | |
| status_code | integer | |
| max_attempts | integer | |
| max_delay_ms | integer | |
| base_delay_ms | integer | |
| retry_after_ms | integer | |
| side_effect_possible | boolean |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"mode": "retry_policy_plan",
"reason": "transient_failure",
"decision": "retry",
"schedule": [
{
"attempt": 2,
"delay_ms": 1500
},
{
"attempt": 3,
"delay_ms": 1000
},
{
"attempt": 4,
"delay_ms": 2000
}
],
"error_code": "rate_limited",
"idempotent": true,
"limitations": [
"This is a transport retry policy, not proof that a downstream action is safe to repeat. Mark side effects accurately and use a real idempotency key when supported."
],
"status_code": 429,
"max_attempts": 4,
"current_attempt": 1,
"side_effect_possible": false
}
}Tags
x402
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