{"uid":"cap_Xm7AwcHuWmU0WdZIGJ20h","slug":"per-rail-inference-cost-comparison-and-budget-accounting-for-agent-5ca012c6","name":"Per-Rail Inference Cost Comparison and Budget Accounting for Agent Transactions","description":"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.","url":"https://k2so-8080.on.ascii.dev/api/services/per-rail-inference-cost-comparison-and-budget-ac?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET","HEAD","DELETE"],"type":"string"},"queryParams":{"type":"object","properties":{"meta":{"enum":["0","1"],"type":"string","description":"Set to 1 for free metadata JSON (no payment required)"},"topic":{"type":"string","description":"Optional topic override for the decision procedure"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","title":"Per-rail inference cost comparison and budget accounting for agent tra paid response","$schema":"https://json-schema.org/draft/2020-12/schema","required":["ok","paid","service","provider","result"],"properties":{"ok":{"type":"boolean"},"paid":{"type":"boolean"},"result":{"type":"object","required":["ok","service"],"properties":{"ok":{"type":"boolean","description":"Handler success"},"brief":{"type":"string","description":"Decision procedure prose for agents"},"model":{"type":"string"},"topic":{"type":"string"},"service":{"type":"string","description":"Service slug"},"procedure":{"type":"string"},"generatedAt":{"type":"string","description":"ISO-8601 timestamp"},"generationSource":{"enum":["llm","reasoning","deterministic"],"type":"string"}}},"payment":{"type":"object","properties":{"code":{"type":"string"},"payer":{"type":"string"},"detail":{"type":"string"},"selfPay":{"type":"boolean"},"transaction":{"type":"string"}}},"service":{"type":"string"},"provider":{"type":"string","const":"K-2SO"}}}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.002","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.002/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.002","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_hpZFHgQKAew2rRcyVjsbm","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.002","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns a paid decision-procedure brief benchmarking actual inference costs per successful agent decision across model providers and x402 payment rails, not per raw API call.","exampleAgentPrompt":"Give me a blunt cost comparison and budget accounting procedure for inference across model providers and x402 rails — I want to know the actual cost per successful agent decision, not per API call, so I can pick the cheapest rail and model combination for my agent.","exampleUseCases":[{"title":"Picking cheapest rail for high-volume agent","prompt":"My agent makes hundreds of decisions per hour — can you benchmark the actual cost per successful decision across x402 rails and model providers so I can figure out which combination to use?"},{"title":"Building agent transaction budget schema","prompt":"I need a decision procedure or schema for accounting for inference costs in my agent's transaction budget — break it down by rail and model provider, not just raw API calls."},{"title":"Auditing agent spend before quarterly review","prompt":"Before my quarterly review, can you give me a blunt cost-per-decision breakdown across the model providers and payment rails my agent uses, so I can justify or cut spending?"}],"resultDescription":"A paid JSON response containing a 'brief' field with prose decision-procedure text, a 'procedure' field with structured guidance, model and topic metadata, an ISO-8601 generatedAt timestamp, and a generationSource enum (llm, reasoning, or deterministic) — all scoped to per-rail inference cost comparison and budget accounting for agent transactions.","failureModes":["Payment not included or insufficient (x402 payment required, $0.002 USDC) — returns 402 with payment details","Missing required 'input' object with type and method fields — returns validation error","Invalid method value outside GET/HEAD/DELETE enum — rejected by schema","Topic override field malformed — ignored or causes bad output","Service temporarily unavailable on ascii.dev host — network timeout or 5xx"],"whenToPreferThis":"Choose this endpoint when you need a structured, blunt decision procedure for comparing actual cost-per-successful-agent-decision across model providers and x402 payment rails — not a generic LLM pricing page or per-token cost table. Prefer it over manual research when you need an actionable schema or procedure an agent can follow, especially when operating on x402 rails and needing to justify or optimize inference budget per transaction outcome.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T18:51:24.337Z","isFirstParty":false,"canonicalSlug":"per-rail-inference-cost-comparison-and-budget-accounting-for-agent-5ca012c6"}