{"uid":"cap_M2y8vm37aMJLjD-_rS2jJ","slug":"pennyrail-ai-chat-mini-v1-89a37bc1","name":"PennyRail AI Chat Mini (v1)","description":"Machine-readable settlement service","url":"https://pennyrail.vercel.app/api/p/premium/ai.chat-mini--v1-chat","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_FtuDyxgrzgPtgGtXK0q5c","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 access to a compact AI chat/language model via a paid x402 micropayment endpoint, returning a model-generated text response to a given input.","exampleAgentPrompt":"Send this message to the PennyRail mini chat model and get a response: 'Summarize the key differences between REST and GraphQL APIs in two sentences.'","exampleUseCases":[{"title":"Quick AI answers in agent pipeline","prompt":"Use the PennyRail mini chat model to answer this question for me: 'What are the top three use cases for vector databases?' I just need a short, clear response."},{"title":"Lightweight content drafting","prompt":"Ask the PennyRail AI chat mini to draft a two-sentence product description for a reusable water bottle that emphasizes sustainability and durability."},{"title":"Per-call LLM for cost-controlled automation","prompt":"I'm building an automation that needs cheap AI text responses without a subscription — use the PennyRail mini chat model to process this input: 'Translate the following to formal English: hey can u send me the report asap thx'."}],"resultDescription":"An object containing the AI model's generated text response to the provided input, returned as a loosely-typed JSON object with model-specific output fields.","failureModes":["Payment not included or insufficient (402 Payment Required — x402 payment header missing or underfunded)","Malformed input object — missing required 'input' field returns a validation error","Model unavailable or overloaded — upstream inference service may return 5xx errors","Rate limiting if too many requests are sent in quick succession","Ambiguous or empty input may yield low-quality or empty model output"],"whenToPreferThis":"Choose this endpoint when you need a lightweight, per-call AI chat completion with no subscription commitment, billed via x402 USDC micropayments at $0.02 per call. Ideal for agent pipelines that require cost-controlled, pay-as-you-go LLM access without managing API keys or monthly billing. Best suited for simple prompt-response tasks where a 'mini' model's capability is sufficient.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T07:21:48.682Z","isFirstParty":false}