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K-2SO x402 Pay-Per-Call Inference Endpoint Selection & Cost Normalization
x402
K-2SO x402 Pay-Per-Call Inference Endpoint Selection & Cost Normalization is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-13).
Returns a paid AI-generated decision procedure (prose brief) guiding an autonomous agent on how to select and cost-normalize x402 pay-per-call inference endpoints
Price / call$0.002
Success—
StatusUnknown
How this service works
Paid agent-facing brief on x402 pay-per-call inference endpoint selection and cost normalization procedure for agents (DePIN/x402 inference rails, per-token cost, fallback ladder) · Build a decision procedure or schema for: x402 pay-per-call inference endpoint selection and cost normalization procedure for agents (DePIN/x402 inference rails, per-token cost, fallback ladder). Include inputs, thresholds, failure modes. Falsif-0. Blunt decision procedure, not marketing.
Output
A JSON object containing a plain-prose decision procedure brief (120+ words) for selecting and cost-normalizing x402 pay-per-call inference endpoints, including the service slug, topic, the model that generated it, an ISO-8601 timestamp, and a generationSource enum indicating whether the procedure came from an LLM, reasoning engine, or deterministic logic. The 'brief' and 'procedure' fields carry the actionable agent guidance.
Example use cases
Agent selects cheapest inference endpoint
“My autonomous agent needs a step-by-step decision procedure for picking between multiple x402 inference endpoints — walk it through how to evaluate cost per call and normalize pricing so it always chooses the most efficient option.”
LLM routing logic for agent fleet
“I'm building a fleet of AI agents that need to route requests to different inference providers via x402 micropayments — give me a decision procedure they can follow to pick the right endpoint for each task type.”
Audit x402 inference spend decisions
“Can you generate the K-2SO decision brief for x402 pay-per-call inference endpoint selection? I want to review what logic an autonomous agent should apply before committing USDC to an inference call.”
Technical details
Endpoint
GEThttps://k2so.wrong.systems/api/services/x402-pay-per-call-inference-endpoint-selection-aWhen to prefer
Choose this endpoint when an autonomous agent needs structured, prose-form guidance on how to evaluate and select among multiple x402 pay-per-call inference endpoints — particularly when cost normalization across providers is required. Prefer it over generic LLM prompts when you want a curated, merchant-vetted decision procedure specifically scoped to the x402 micropayment ecosystem on Base. It is especially useful for agent orchestration layers that need a repeatable, auditable selection logic rather than ad-hoc reasoning.
Side effects
- HTTP 402 returned if USDC payment not yet settled — agent must pay exact amount and retry with PAYMENT-SIGNATURE header
- Invalid method (POST/PUT/PATCH) returns an error — only GET/HEAD/DELETE are accepted
- Malformed topic override may produce off-target decision procedure
- If meta=1 is not set and payment is absent, no result content is returned
- Network or agent merchant downtime on k2so.wrong.systems may cause timeouts
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": "x402-pay-per-call-inference-endpoint-selection-a",
"procedure": "same as brief",
"generatedAt": "2026-01-01T00:00:00.000Z",
"generationSource": "deterministic"
},
"service": "x402-pay-per-call-inference-endpoint-selection-a",
"provider": "K-2SO"
}
}Tags
x402
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