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Bounty Engineer Batch Budget Planner
x402
Bounty Engineer Batch Budget Planner is a paid API for AI agents from bounty-engineer-x402-prod.onrender.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-12).
Plans how to allocate a fixed USD budget across multiple API jobs by priority, determining which calls to fund, drop, or partially schedule.
Price / call$0.005
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 plan with per-job breakdown of planned_calls, dropped_calls, planned_spend_usd, and unit_price_usd; a top-level decision field ('fully_funded', 'partially_funded', etc.); total planned_spend_usd; headroom_usd remaining; and any allocation limitations or caveats.
Example use cases
Triage agent jobs under budget cap
“I've got $2 to spend and 5 different API job types to run — priority-ranked from verification down to enrichment. Plan out exactly how many calls of each I can afford and which ones to drop.”
Simulate partial funding scenario
“Before I commit my agent's budget, show me what a $0.75 spend plan looks like across these 3 job types with partial execution allowed: 50 verify calls at $0.02, 30 enrich calls at $0.01, and 20 search calls at $0.005.”
Full-budget preflight check for agent pipeline
“My autonomous agent pipeline has a hard $5 cap. Can you generate a batch budget plan for 200 data-fetch jobs and 50 verification jobs so I know exactly what it'll spend and whether everything fits?”
Technical details
Endpoint
POSThttps://bounty-engineer-x402-prod.onrender.com/v1/batch-budget-plan?utm_source=zero.xyzWhen to prefer
Use this endpoint when an autonomous agent needs to pre-plan API spending across multiple heterogeneous job types before committing funds — especially when the total cost may exceed available budget and you need deterministic priority-first allocation with partial execution support. Prefer over manual budgeting logic when jobs have different priorities and unit prices and you want a structured, auditable spend plan.
Side effects
- Empty or invalid jobs array returns a validation error
- budget_usd of zero or negative causes invalid input error
- More than 100 jobs in the array exceeds maxItems constraint
- Missing required fields (jobs or budget_usd) returns 400-level error
- Upstream Render instance cold start may cause latency or timeout on first call
- Payment failure via x402 protocol prevents job execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| jobs | array | |
| budget_usd | number | |
| allow_partial | boolean |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"mode": "batch_budget_plan",
"plan": [
{
"id": "verify",
"calls": 20,
"priority": 100,
"dropped_calls": 0,
"planned_calls": 20,
"unit_price_usd": 0.02,
"planned_spend_usd": 0.4
},
{
"id": "enrich",
"calls": 100,
"priority": 60,
"dropped_calls": 40,
"planned_calls": 60,
"unit_price_usd": 0.01,
"planned_spend_usd": 0.6
}
],
"decision": "partially_funded",
"budget_usd": 1,
"limitations": [
"Allocation is deterministic priority-first planning. It does not estimate business value or guarantee provider success."
],
"headroom_usd": 0,
"allow_partial": true,
"planned_spend_usd": 1
}
}Tags
x402
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