{"uid":"cap_4DsbNO-kJg0kr_PdumrSN","slug":"flat-rate-llm-inference-479a3149","name":"Flat-rate LLM Inference","description":"60 paid endpoints with no metering, no API key and no account. Each endpoint has one flat price per call, whatever the size of the request: LLM completions with automatic failover across several large models, read-only EVM tooling over Base, Ethereum, Polygon, Arbitrum and Optimism, and pure crypto utilities that touch no network.","url":"https://flat-rate-llm.kikoribera03.workers.dev/v2/inferencia","method":"POST","headers":{},"bodySchema":{"type":"object","required":["prompt"],"properties":{"prompt":{"type":"string","description":"The request for the model. Up to 24000 characters."},"sistema":{"type":"string","description":"Optional system instruction."},"maxTokens":{"type":"number","description":"Output token cap, up to 4000. Does not change the price."}}},"responseSchema":{"type":"object","properties":{"modelo":{"type":"string"},"segundos":{"type":"number"},"respuesta":{"type":"string"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"1","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":"$1/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"1","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"1","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_en4bypGShDXxAHhWT6T8I","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"1","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs LLM inference on a prompt at a fixed $0.001 per call regardless of token count, with automatic failover across multiple large models.","exampleAgentPrompt":"Send this prompt to the flat-rate LLM with the system instruction 'You are a helpful assistant' and cap the output at 500 tokens: 'Summarize the key differences between REST and GraphQL APIs in plain English.'","exampleUseCases":[{"title":"Cost-predictable agent reasoning step","prompt":"Run this through the flat-rate LLM — system prompt: 'You are a JSON extractor. Output only valid JSON.' User prompt: 'Extract the name, date, and total amount from this invoice text: Invoice #1042, Acme Corp, 2024-06-15, $3,200.00.' Cap it at 200 tokens."},{"title":"Bulk content drafting at fixed cost","prompt":"Use the flat-rate LLM to write a short product description for each of my 50 SKUs — I need predictable costs per call, not token-metered billing. System instruction: 'Write a 2-sentence e-commerce product description.' Prompt: 'Product: Bamboo cutting board, 18x12 inches, dishwasher safe.'"},{"title":"Automated customer support reply drafting","prompt":"Draft a polite support reply using the flat-rate LLM. System: 'You are a friendly customer support agent for a SaaS company.' Prompt: 'Customer says: I cannot log into my account after resetting my password.' Limit the output to 300 tokens."}],"resultDescription":"A text string containing the model's completion of the given prompt, generated by one of the backend large language models selected via automatic failover. No token usage metadata is returned; pricing is flat per call.","failureModes":["Prompt exceeds 24000 character limit — request rejected","maxTokens set above 4000 — capped or rejected","Model failover exhausted — service temporarily unavailable with 5xx error","Payment not included or invalid x402 payment — 402 Payment Required","Malformed JSON body — 400 Bad Request"],"whenToPreferThis":"Choose this endpoint when you need predictable, fixed-cost LLM inference regardless of prompt or output length — ideal for agentic pipelines making many calls, batch workflows where token-metered APIs create variable cost, or cost-sensitive automation. Prefer it over token-metered gateways when throughput is high or prompt lengths vary widely. Not ideal if you need specific model selection, streaming output, or detailed token usage telemetry.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T19:00:51.245Z","isFirstParty":false}