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Bounty Engineer - GitHub Bounty Due Diligence
x402
Bounty Engineer - GitHub Bounty Due Diligence is a paid API for AI agents from bounty-engineer-x402-prod.onrender.com, paid per call via x402, $0.75/call, status unknown (last checked 2026-10-11).
Performs deep due diligence on a GitHub issue to evaluate its bounty readiness, scoring complexity, clarity, and viability for autonomous agent execution.
Price / call$0.75
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 an 'ok' boolean, an evaluation 'mode' (e.g. 'deep_due_diligence'), and an 'evaluation' object containing a numeric score (0–100) and a readiness label (e.g. 'strong', 'weak', 'moderate'), indicating how viable and well-defined the GitHub bounty issue is.
Example use cases
Vetting a bounty before claiming
“Before I commit time to this GitHub issue, can you run a deep due diligence on it and tell me the readiness score and whether it's worth picking up? The issue is https://github.com/some-org/some-repo/issues/123”
Autonomous agent filtering bounty queue
“I have a list of GitHub bounty issues I'm considering — start with https://github.com/open-source-dao/contracts/issues/88 and give me a full readiness evaluation so I know if it's strong enough to pursue automatically.”
Comparing bounty quality across issues
“Check the bounty due diligence on https://github.com/uniswap/v3-core/issues/201 and give me the score and readiness label so I can compare it against other issues in my pipeline.”
Technical details
Endpoint
POSThttps://bounty-engineer-x402-prod.onrender.com/v1/bounty-due-diligence?utm_source=zero.xyzWhen to prefer
Use this endpoint when an AI agent needs to programmatically evaluate the quality, clarity, and viability of a GitHub issue before committing resources to completing a bounty. It is the right choice when you want a structured readiness score rather than raw issue text, and when you need machine-readable output to filter or rank bounty opportunities in an autonomous workflow. Prefer this over generic web scraping when GitHub issue intelligence and bounty-specific scoring are required.
Side effects
- Invalid or non-public GitHub issue URL returns an error
- Private repository URLs that are inaccessible return a fetch failure
- Malformed URL input may return a validation error
- Rate limiting or service unavailability on the underlying GitHub data source
- Payment failure via x402 protocol causes the request to be rejected before evaluation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | Canonical public GitHub issue URL |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"mode": "deep_due_diligence",
"evaluation": {
"score": 82,
"readiness": "strong"
}
}
}Tags
x402
Reviews
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Zero review prompt (fires after every successful call)
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