{"uid":"cap_tfFIJsM67ZOOiZL20Fh32","slug":"pennyrail-ai-chat-mini-chat-completion-b9205315","name":"PennyRail AI Chat Mini – Chat Completion","description":"Machine-readable settlement service","url":"https://pennyrail.vercel.app/api/p/premium/ai.chat-mini--chat-completion","method":"POST","headers":{},"bodySchema":{"type":"object","required":["input"],"properties":{"input":{"type":"object"}}},"responseSchema":{"type":"object","additionalProperties":true},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.02","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":"$0.02/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_bZ1KKWccPDRh-pl0X3bOs","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.02","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Provides a paid chat completion endpoint using a mini/small AI language model, accessible via x402 micropayment settlement at $0.02 USDC per call.","exampleAgentPrompt":"Send this message to the PennyRail mini chat model and get a response: 'Explain the difference between supervised and unsupervised learning in two sentences.' — charge the $0.02 USDC fee automatically.","exampleUseCases":[{"title":"Low-cost AI replies for a chatbot","prompt":"Use the PennyRail mini chat model to generate a friendly reply to this customer message: 'What are your store hours on weekends?' — keep it short and pay the micro fee automatically."},{"title":"Quick AI summarization in an agent pipeline","prompt":"Call the PennyRail mini chat completion to summarize this paragraph into one sentence and return the result: 'Artificial intelligence is transforming industries by automating complex tasks that previously required human expertise, enabling faster decisions, and unlocking new capabilities in medicine, finance, and engineering.'"},{"title":"Agent self-help knowledge lookup","prompt":"Ask the PennyRail mini AI: 'What are three best practices for writing clean Python code?' and give me back the answer — it's fine to spend the $0.02 per call."}],"resultDescription":"Returns a JSON object containing the AI-generated chat completion text or message in response to the provided input prompt. The response schema is open-ended (additionalProperties: true), so the reply structure may include a message body, usage stats, or model metadata depending on the underlying model.","failureModes":["Payment not included or insufficient USDC balance — 402 Payment Required","Malformed input object missing required 'input' field — 400 Bad Request","Underlying LLM provider unavailable or rate-limited — 503 or 500 error","Empty or null input resulting in a nonsensical or error response","USDC transaction settlement failure causing request to be rejected","Response schema is loose (additionalProperties: true), so field names may vary across calls"],"whenToPreferThis":"Choose this endpoint when you need a cheap, per-call AI chat completion without a subscription, especially inside an autonomous agent that can pay x402 micropayments in USDC. It is best suited for lightweight inference tasks where cost-per-call matters (at $0.02) and a mini/small model is sufficient. Prefer it over full-scale LLM APIs when budget is tight or the task is simple (summarization, short Q&A, classification).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:43:30.450Z","isFirstParty":false}