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BountyDueDiligence
x402
BountyDueDiligence is a paid API for AI agents from bounty-due-diligence.vercel.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Analyzes a GitHub bounty issue for competition, staleness, maintainer inactivity, and payout risk before an autonomous agent invests compute in an implementation.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pre-flight due diligence for GitHub bounty issues: competing PRs, staleness, maintainer inactivity, saturation and payout-risk signals, before an autonomous coding agent spends compute on implementation.
Output
Returns a structured JSON object with a verdict (e.g. NO_GO or GO), an overall winnability score (0-100), a list of reasons, the count and URLs of competing/closing PRs, the issue state and number, the advertised reward amount, reward confidence level, and the repository identifier. The full paid response includes complete competition detail, repo activity metrics, and granular risk signals.
Example use cases
Pre-coding bounty viability check
“Before I spend hours implementing a fix, check https://github.com/nicehash/NiceHashQuickMiner/issues/456 and tell me if there are already PRs competing for the bounty and whether it's realistically winnable.”
Filtering saturated bounties from a list
“I have this GitHub bounty at https://github.com/open-telemetry/opentelemetry-collector/issues/789 — is it oversaturated with competing submissions or is there still a real chance of winning the payout?”
Detecting stale or dead bounty issues
“Can you analyze https://github.com/ava-labs/avalanchego/issues/321 and tell me if the maintainers are still active and if the bounty reward is likely to actually get paid out?”
Technical details
Endpoint
POSThttps://bounty-due-diligence.vercel.app/v1/analyzeWhen to prefer
Use this endpoint when an autonomous coding agent needs to decide whether to invest compute in implementing a solution for a GitHub bounty issue. It is specifically designed for the pre-flight, before-coding stage — not for general GitHub issue search or code review. Prefer it over manual inspection when running at scale across many bounty issues, or when compute cost per attempt is meaningful and you want to filter out lost causes early.
Side effects
- Invalid or non-public GitHub issue URL returns an error
- Issue has no associated bounty or reward — reward fields may be null or confidence 'low'
- Rate limiting if many calls are made in rapid succession
- Payment not received or insufficient USDC causes a 402 response
- Repository is private and inaccessible — analysis cannot be completed
- GitHub API rate limits may cause transient failures or incomplete data
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| issue_url | string | A public GitHub issue URL |
Output
Schema · Response
{
"type": "json",
"example": {
"note": "This is a truncated example. The paid response includes full competition detail, repo activity, and risk signals.",
"decision": {
"reasons": [
"...full reasoning in the paid response..."
],
"verdict": "NO_GO",
"overall_winnability_score": 12
},
"repository": "org/repo",
"competition": {
"exact_closing_prs": [
"...one or more PRs already claim this..."
],
"competing_pr_count": 2
},
"issue_state": "open",
"issue_number": 123,
"advertised_reward": 90,
"reward_confidence": "high"
}
}Tags
x402
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