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Bounty Engineer Subcontractor Mesh Compiler
x402
Bounty Engineer Subcontractor Mesh Compiler is a paid API for AI agents from bounty-engineer-x402-prod.onrender.com, paid per call via x402, $49.9/call, status unknown (last checked 2026-10-12).
Assigns a set of tasks to a pool of agents by optimizing for price, latency, and success rate, returning an ordered execution plan with projected spend and mission success probability.
Price / call$49.9
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 task-to-agent assignments (including selected agent ID, price, success rate, p95 latency, required capabilities, and fallback), a dependency-respecting execution order, projected total spend in USD, overall mission success probability, a mesh SHA256 fingerprint, any uncovered tasks, blockers preventing readiness, and known limitations of the ranking model.
Example use cases
Multi-step data pipeline orchestration
“I have 3 tasks — web extraction, fact verification, and summarization — and a pool of 8 agents. Put together an execution plan that assigns each task to the best agent within a $30 budget, keeping latency low.”
Budget-constrained agent fleet assignment
“I'm running a research mission with 12 tasks and 20 available subcontractor agents. Can you compile the mesh and tell me which agents to use, in what order, and whether we'll stay under a $100 budget?”
Dependency-aware task scheduling for agents
“My workflow has tasks with dependencies — verify can't start until extract is done. I have 6 agents and a $25 budget. Can you figure out the right execution order and assign agents to maximize the chance the whole mission succeeds?”
Technical details
Endpoint
POSThttps://bounty-engineer-x402-prod.onrender.com/v1/subcontractor-mesh-compiler?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to algorithmically assign a heterogeneous list of tasks to a pool of agents with different capabilities, prices, and latency profiles — especially when you have a hard budget ceiling, dependency ordering requirements, or need a projected success probability before committing to execution. It is particularly valuable for autonomous pipelines where manual routing is impractical.
Side effects
- Tasks with no eligible agents appear in uncovered_tasks with no assignment
- Budget too low to cover all tasks results in partial assignments or blockers
- Agents declared with incompatible capabilities for required task types yield empty eligible_count
- Malformed tasks or agents arrays (wrong types, out of range counts) return 400 validation errors
- No independent verification of agent availability or actual runtime performance
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| tasks | array | |
| agents | array | |
| budget_usd | number |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"mode": "subcontractor_mesh_compiler",
"blockers": [],
"decision": "ready",
"budget_usd": 50,
"assignments": [
{
"task_id": "extract",
"fallback": null,
"requires": [
"web"
],
"selected": {
"agent_id": "alpha",
"price_usd": 3,
"success_rate": 0.98,
"p95_latency_ms": 1200
},
"dependencies": [],
"eligible_count": 1
},
{
"task_id": "verify",
"fallback": null,
"requires": [
"verification"
],
"selected": {
"agent_id": "beta",
"price_usd": 8,
"success_rate": 0.97,
"p95_latency_ms": 1600
},
"dependencies": [
"extract"
],
"eligible_count": 1
}
],
"limitations": [
"Ranks only declared agent capabilities, price, latency and success rate.",
"No candidate identity, availability or actual performance is independently verified."
],
"mesh_sha256": "99d4c0ebac10a7fa02d52f5dfcdf07ec8e205580a31f05f6d156f1577a631ceb",
"execution_order": [
"extract",
"verify"
],
"uncovered_tasks": [],
"projected_spend_usd": 11,
"mission_success_probability": 0.9506
}
}Tags
x402
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