{"uid":"cap_MtUSNJ8jbSlfKRUdkFcIB","slug":"pennyrail-llm-mini-inference-ede9794f","name":"PennyRail LLM Mini Inference","description":"Machine-readable settlement service","url":"https://pennyrail.vercel.app/api/p/standard/ai.llm-mini--llm-inference?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["input"],"properties":{"input":{"type":"object"}}},"responseSchema":{"type":"object","additionalProperties":true},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","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":"down","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Aru4g3ToJpOoRl3wjw2yw","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs a mini LLM inference call via a pay-per-use settlement endpoint, returning a language model response for a given input.","exampleAgentPrompt":"Run a quick mini LLM inference on this input — summarize the following paragraph: 'Artificial intelligence is reshaping industries by automating repetitive tasks and enabling new forms of creativity.'","exampleUseCases":[{"title":"Cheap per-call AI text completion","prompt":"I need to generate a one-sentence product description for a new coffee mug using a lightweight, pay-per-use LLM — just send it the product name 'Morning Bloom Mug' and get back a short description."},{"title":"Automated micro-task text generation","prompt":"For each of these 10 support tickets, I want to use the mini LLM to draft a one-line reply — process this ticket: 'My order hasn't arrived after 2 weeks, what should I do?'"},{"title":"Low-cost prompt testing pipeline","prompt":"I'm experimenting with prompts and want to test this one cheaply: 'Explain the concept of compound interest in one sentence as if I'm 10 years old.' Run it through the mini LLM and show me the result."}],"resultDescription":"Returns a JSON object containing the LLM inference output — typically the generated text or model response corresponding to the provided input payload. The response schema is open-ended (additionalProperties: true), so the exact shape depends on the model's output format.","failureModes":["Payment failure (insufficient USDC or x402 handshake error) — returns 402 Payment Required","Malformed input object — returns 400 Bad Request if required 'input' field is missing","Model unavailability or timeout — returns 503 or 504 if the underlying mini LLM backend is down","Empty or ambiguous input object — may return a low-quality or empty inference result","Rate limiting — may return 429 if too many calls are made in a short period"],"whenToPreferThis":"Choose this endpoint when you need a low-cost, per-call LLM inference with micro-payment settlement via the x402 protocol and USDC. It is ideal for high-volume, cost-sensitive pipelines where paying $0.01 per call is preferable to subscription models. Best suited for lightweight inference tasks where a 'mini' model is sufficient. Not ideal for complex, long-context reasoning tasks that require a full-scale LLM.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-31T03:29:24.882Z","isFirstParty":false,"canonicalSlug":"pennyrail-llm-mini-inference-ede9794f"}