{"uid":"cap_oKeVM24agm6aBAgIPvUEe","slug":"pennyrail-llm-mini-inference-endpoint-7a01a267","name":"PennyRail LLM-Mini Inference Endpoint","description":"Machine-readable settlement service","url":"https://pennyrail.vercel.app/api/p/standard/ai.llm-mini--llm?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_DDJenSp8INEjBuuUUdsjy","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 job via PennyRail's pay-per-call settlement layer for $0.01 USDC per request","exampleAgentPrompt":"Run a mini LLM inference job through PennyRail — send this input object and settle the $0.01 USDC micropayment via x402: {\"prompt\": \"Summarize the following paragraph in one sentence: ...\"}","exampleUseCases":[{"title":"Automated microtask text summarization","prompt":"Use PennyRail's mini LLM to summarize this support ticket in one sentence and charge the $0.01 USDC fee automatically: 'User reports that login fails after password reset on mobile Safari version 17.'"},{"title":"Pay-per-call AI classification pipeline","prompt":"Send this product review to PennyRail's LLM-mini endpoint and classify it as positive, negative, or neutral — settle the micropayment and return the label: 'Great battery life but the screen is too dim indoors.'"},{"title":"Low-cost agent subtask generation","prompt":"I need PennyRail's mini LLM to generate three bullet-point action items from this meeting note and pay the $0.01 USDC per-call fee: 'Team agreed to ship the feature by Friday, write tests, and update the changelog.'"}],"resultDescription":"Returns a JSON object with the LLM's inference output — typically generated text or a structured response — shaped by the input payload. The response schema is open (additionalProperties: true), so the exact fields depend on what the mini LLM model returns for the given input.","failureModes":["Payment failure: insufficient USDC balance or x402 settlement rejection returns a 402 Payment Required error","Invalid input: missing required 'input' field returns a 400 Bad Request","Model overload or timeout: mini LLM backend may return 503 or timeout under load","Malformed input object: passing non-object types to 'input' may produce unpredictable or empty responses","Response schema variability: since additionalProperties is unconstrained, downstream parsers must handle unknown fields gracefully"],"whenToPreferThis":"Choose this endpoint when you need extremely low-cost LLM inference ($0.01 per call) with automatic USDC micropayment settlement via the x402 protocol — ideal for high-volume agentic pipelines where per-call cost control and on-chain payment auditability matter more than model capability. Prefer this over full-sized LLM APIs for lightweight subtasks like classification, short summarization, or template filling where a mini model suffices.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-04T12:28:57.274Z","isFirstParty":false,"canonicalSlug":"pennyrail-llm-mini-inference-endpoint-7a01a267"}