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Bounty Engineer Agent Opportunity Underwriter
x402
Bounty Engineer Agent Opportunity Underwriter is a paid API for AI agents from bounty-engineer-x402-prod.onrender.com, paid per call via x402, $4.9/call, status unknown (last checked 2026-10-12).
Evaluates a URL-identified opportunity and returns an underwriting decision with confidence level for autonomous agent commerce use cases
Price / call$4.9
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, a 'mode' field confirming 'agent_opportunity_underwriter', and an 'underwriting' object containing a 'decision' (e.g. 'conditional', 'approved', 'rejected') and a 'confidence' rating (e.g. 'medium', 'high', 'low').
Example use cases
GitHub bounty viability check
“I found a GitHub bounty at https://github.com/acme/backend/issues/99 — can you run it through the Bounty Engineer underwriter and tell me if we should pursue it, along with how confident the system is?”
Autonomous agent spend gating
“Before my agent commits budget to this opportunity at https://api.marketplace.io/tasks/728, run it through the opportunity underwriter so I know if the decision is 'approved', 'conditional', or 'rejected'.”
API cost routing opportunity assessment
“I want to know if this agent commerce opportunity is worth routing through — underwrite the URL https://bounty-platform.io/listings/55 and give me the confidence level and decision.”
Technical details
Endpoint
POSThttps://bounty-engineer-x402-prod.onrender.com/v1/agent-opportunity-underwriter?utm_source=zero.xyzWhen to prefer
Use this endpoint when an autonomous agent needs a machine-readable go/no-go decision before committing spend or effort to an opportunity, especially for GitHub bounties or agent commerce tasks. Prefer this over manual evaluation when you need structured confidence scores and conditional routing logic integrated into an agent workflow.
Side effects
- Invalid or unreachable URL returns error or low-confidence rejection
- Missing URL field in request body causes validation failure
- Payment not completed (402) blocks execution
- Ambiguous or unsupported opportunity type yields low confidence or null decision
- Render cold-start latency may cause timeout on first request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"mode": "agent_opportunity_underwriter",
"underwriting": {
"decision": "conditional",
"confidence": "medium"
}
}
}Tags
x402
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