Agent Commerce Plan
Route repeated agent API purchases within a fixed spend budget; use it as an agent spend-control meter before machine purchases.
3 credits per call · $0.025 USDC with x402
Sample input
{
"budget_usd": 2,
"expected_calls": 100,
"policy": "balanced",
"candidates": [
{
"id": "alpha",
"price_usd": 0.01,
"success_rate": 0.99,
"p95_latency_ms": 500,
"trust_score": 0.9
},
{
"id": "beta",
"price_usd": 0.005,
"success_rate": 0.95,
"p95_latency_ms": 800,
"trust_score": 0.8
}
]
}Worked sample output
{
"ok": true,
"mode": "agent_commerce_plan",
"decision": "ready",
"budget_usd": 2,
"expected_calls": 100,
"route_plan": {
"ok": true,
"mode": "provider_route_plan",
"decision": "route",
"policy": "balanced",
"selected": {
"id": "alpha",
"price_usd": 0.01,
"success_rate": 0.99,
"p95_latency_ms": 500,
"trust_score": 0.9,
"freshness_seconds": null,
"balanced_score": 0.8255
},
"fallback_order": [
{
"id": "alpha",
"price_usd": 0.01,
"success_rate": 0.99,
"p95_latency_ms": 500,
"trust_score": 0.9,
"freshness_seconds": null,
"balanced_score": 0.8255
},
{
"id": "beta",
"price_usd": 0.005,
"success_rate": 0.95,
"p95_latency_ms": 800,
"trust_score": 0.8,
"freshness_seconds": null,
"balanced_score": 0.7375
}
],
"rejected": [],
"limitations": [
"Balanced scoring uses fixed transparent weights: reliability 45%, trust 20%, latency 20%, cost 15%. Inputs are supplied by the caller and are not independently verified."
]
},
"affordability": [
{
"provider_id": "alpha",
"price_usd": 0.01,
"expected_calls": 100,
"projected_spend_usd": 1,
"fits_budget": true,
"max_calls_with_budget": 200
},
{
"provider_id": "beta",
"price_usd": 0.005,
"expected_calls": 100,
"projected_spend_usd": 0.5,
"fits_budget": true,
"max_calls_with_budget": 400
}
],
"selected": {
"provider_id": "alpha",
"price_usd": 0.01,
"expected_calls": 100,
"projected_spend_usd": 1,
"fits_budget": true,
"max_calls_with_budget": 200
},
"limitations": [
"Combines caller-supplied provider measurements with a deterministic budget check. It does not make payments or guarantee service quality."
]
}Worked example using published sample data only. Own-data execution is paid.
Connect in curl
Set BOUNTY_API_KEY privately after your payment is verified. Change the retry key for each new logical request.
curl 'https://bounty-engineer-x402-prod.onrender.com/v1/prepaid/agent-commerce-plan' \
-H "Authorization: Bearer $BOUNTY_API_KEY" \
-H 'Content-Type: application/json' \
-H 'Idempotency-Key: workflow-request-001' \
-H 'X-Max-Credits: 3' \
--data '{"budget_usd":2,"expected_calls":100,"policy":"balanced","candidates":[{"id":"alpha","price_usd":0.01,"success_rate":0.99,"p95_latency_ms":500,"trust_score":0.9},{"id":"beta","price_usd":0.005,"success_rate":0.95,"p95_latency_ms":800,"trust_score":0.8}]}'Connect in n8n
Download the inactive n8n template. Import it, configure the private Header Auth credential, inspect the sample and run it manually. A new execution creates a new billable request; there is no automatic schedule.
Use an HTTP POST to https://bounty-engineer-x402-prod.onrender.com/v1/prepaid/agent-commerce-plan. Send JSON and these headers; store the Bearer token as a private credential.
{
"method": "POST",
"headers": {
"Authorization": "Bearer YOUR_PRIVATE_API_KEY",
"Content-Type": "application/json",
"Idempotency-Key": "UNIQUE_PER_LOGICAL_REQUEST",
"X-Max-Credits": "3"
},
"body": {
"budget_usd": 2,
"expected_calls": 100,
"policy": "balanced",
"candidates": [
{
"id": "alpha",
"price_usd": 0.01,
"success_rate": 0.99,
"p95_latency_ms": 500,
"trust_score": 0.9
},
{
"id": "beta",
"price_usd": 0.005,
"success_rate": 0.95,
"p95_latency_ms": 800,
"trust_score": 0.8
}
]
}
}Reuse a retry key only for the same input. Failed execution returns reserved credits. Full integration and recovery guide · Machine-readable recipe