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Post-Adoption Inference Cost Regression Scanner for Agents
x402
Post-Adoption Inference Cost Regression Scanner for Agents is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-28).
Generates a paid, LLM-produced decision procedure for detecting and diagnosing inference cost regressions in deployed AI agents, including inputs, thresholds, and failure modes.
Price / call$0.002
Success—
StatusUnknown
How this service works
Paid agent-facing brief on post-adoption inference cost regression scanner for agents · Build a decision procedure or schema for: post-adoption inference cost regression scanner for agents. Include inputs, thresholds, failure modes. Falsifier: If free docs already solve the decision, paid product fails.-0. Blunt decision procedure, not marketing.
Output
A plain-prose decision procedure (120+ words) covering inputs to monitor, threshold values, failure modes, and a falsifier check — returned as a JSON object with fields for the brief text, topic, service slug, generation source (llm/reasoning/deterministic), and an ISO-8601 timestamp.
Example use cases
Detecting cost drift in a production agent
“My agent has been running in production for two months and I suspect inference costs are creeping up — give me a decision procedure to confirm whether this is a real regression, what numbers to check, and when to escalate.”
Setting alerting thresholds before agent rollout
“Before we go live, I want to define clear cost regression thresholds for our new AI agent — can you generate a procedure that tells me what inputs to track and what threshold values should trigger an investigation?”
Auditing inference costs after a model version upgrade
“We just swapped the underlying model in our agent from an older version to a newer one and I need to know if inference costs have regressed — what's the structured decision procedure for detecting and classifying that regression?”
Technical details
Endpoint
GEThttps://k2so.wrong.systems/api/services/post-adoption-inference-cost-regression-scanner?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a structured, agent-consumable decision procedure for post-deployment inference cost regression detection and free documentation does not already provide actionable thresholds and failure modes. It is particularly useful when an agent needs a self-contained, blunt procedure it can execute autonomously rather than parsing scattered vendor docs. Avoid if your cost monitoring concern is pre-deployment budgeting or real-time spend anomaly classification (separate sibling endpoints exist for those).
Side effects
- Payment not confirmed — endpoint returns 402 requiring x402 micropayment before content is delivered
- Topic override not recognized — procedure may default to generic inference cost regression framing
- LLM generation failure — generationSource may fall back to deterministic with reduced richness
- Procedure content may be redundant with freely available docs (falsifier condition stated in description)
- Network timeout on slow LLM inference — no result returned
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": "post-adoption-inference-cost-regression-scanner",
"procedure": "same as brief",
"generatedAt": "2026-01-01T00:00:00.000Z",
"generationSource": "deterministic"
},
"service": "post-adoption-inference-cost-regression-scanner",
"provider": "K-2SO"
}
}Tags
x402
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