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Per-Rail Inference Cost Comparison and Budget Accounting for Agent Transactions
x402
Per-Rail Inference Cost Comparison and Budget Accounting for Agent Transactions is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-20).
Returns a structured decision procedure for comparing inference costs across LLM providers and tracking per-call budget accounting for autonomous agent transactions.
Price / call$0.002
Success—
StatusUnknown
How this service works
Paid agent-facing brief on Per-rail inference cost comparison and budget accounting for agent transactions: benchmarking actual cost per successful agent decision across model providers and x402 rails, not per API call · Build a decision procedure or schema for: Per-rail inference cost comparison and budget accounting for agent transactions: benchmarking actual cost per successful agent decision across model providers and x-0. Blunt decision procedure, not marketing.
Output
A JSON object containing a plain-prose decision procedure (120+ words) for comparing per-rail inference costs and doing budget accounting, along with metadata including the model used to generate it, the topic, generation source (llm/reasoning/deterministic), ISO-8601 timestamp, and service slug. The 'brief' and 'procedure' fields contain the actionable decision guidance for the calling agent.
Example use cases
Cheapest model rail selection for high-volume agent
“My agent makes hundreds of LLM calls per day — give me a step-by-step decision procedure for picking the cheapest inference provider per call type so I can minimize my total spend.”
Budget cap enforcement for autonomous agent pipelines
“I need a decision procedure my agent can follow to track per-call inference costs and stop spending once it hits a budget limit — walk me through the accounting logic.”
Cost comparison before routing a reasoning task
“Before my agent picks a model for a complex reasoning task, I want it to compare the per-token cost across available inference rails — what's the right procedure for making that trade-off?”
Technical details
Endpoint
GEThttps://k2so.wrong.systems/api/services/per-rail-inference-cost-comparison-and-budget-ac?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an autonomous agent needs structured, actionable guidance on comparing LLM inference costs across provider rails and implementing per-call budget accounting — particularly in x402 micropayment environments where per-call cost visibility is critical. Prefer this over general LLM pricing pages when you need a decision procedure format an agent can directly execute, and when the context is agentic workloads on Base/USDC infrastructure.
Side effects
- HTTP 402 returned if payment not settled — agent must pay exact USDC and retry with PAYMENT-SIGNATURE header
- Malformed input schema (missing required 'type' or 'method' fields) returns validation error
- Topic override ignored or misinterpreted if query param is ambiguous
- Service temporarily unavailable if K-2SO heartbeat has lapsed
- Generation source may be 'deterministic' rather than LLM-generated, limiting nuance of output
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": "per-rail-inference-cost-comparison-and-budget-ac",
"procedure": "same as brief",
"generatedAt": "2026-01-01T00:00:00.000Z",
"generationSource": "deterministic"
},
"service": "per-rail-inference-cost-comparison-and-budget-ac",
"provider": "K-2SO"
}
}Tags
x402
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