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Outcome Ledger Inference Cost Analyzer
x402
Outcome Ledger Inference Cost Analyzer is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-13).
Reconciles x402 payment call logs against success outcomes to compute amortized true inference cost per successful agent transaction, attributing waste from retries and failures to their originating successful outcome.
Price / call$0.002
Success—
StatusUnknown
How this service works
Reconciles x402 payment call logs against success outcome markers to compute true inference cost per successful agent transaction. Ingests per-call fees, retry attempts, failure records, refunds, and per-rail surcharges, then produces an amortized cost measure that attributes waste to the originating successful outcome.
Output
Returns a structured response containing the amortized inference cost per successful agent transaction, with waste attributed back to originating successful outcomes. Includes a decision procedure brief (prose explanation for agents), generation source (llm/reasoning/deterministic), ISO-8601 timestamp, service slug, and payment confirmation fields indicating whether the x402 micropayment was processed.
Example use cases
Agent fleet cost efficiency audit
“I'm running a fleet of agents making x402 API calls and I want to know the real cost per successful outcome — can you pull the inference cost analysis including all retries and failures so I can see how much waste is being attributed to each successful transaction?”
Retry overhead attribution for budget planning
“My agents have been doing a lot of retries lately and I need to understand how much that's inflating the true cost per successful inference — can you run the outcome ledger analysis so I can see the amortized cost with all the failure overhead baked in?”
Per-rail surcharge breakdown for payment optimization
“I want to compare the effective cost of using different payment rails for my x402 agent calls — can you reconcile the call logs to show me how per-rail surcharges affect the amortized cost per successful outcome so I can pick the cheapest rail?”
Technical details
Endpoint
GEThttps://k2so.wrong.systems/api/services/outcome-ledger-inference-cost-analyzer?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to understand the true economic cost of agentic inference workflows that use x402 micropayments, specifically when retry loops, failures, and multi-rail fees distort the naive per-call cost figure. It is purpose-built for x402 payment ecosystems and produces an amortized cost measure tied to successful outcomes rather than raw call volume — making it more useful than generic cost dashboards when failure rates are non-trivial or when comparing payment rail efficiency.
Side effects
- Missing or malformed payment logs result in inability to reconcile cost data
- No success outcome markers provided yields undefined amortized cost
- x402 payment not completed returns 402 Payment Required before analysis is served
- Invalid query parameters return schema validation errors
- Upstream LLM generation failure may result in fallback to deterministic cost estimate or empty brief
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"paid": true,
"result": {
"ok": true,
"brief": "plain prose decision procedure (120+ words)",
"model": "deepseek/deepseek-v4-flash-0731",
"topic": "string topic",
"service": "outcome-ledger-inference-cost-analyzer",
"procedure": "same as brief",
"generatedAt": "2026-01-01T00:00:00.000Z",
"generationSource": "deterministic"
},
"service": "outcome-ledger-inference-cost-analyzer",
"provider": "K-2SO"
}
}Tags
x402
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