{"uid":"cap_en3h8PoN1dgvG6chzCD4b","slug":"pennyrail-execute-intel-6e6c5956","name":"PennyRail Execute Intel","description":"Machine-readable settlement service","url":"https://pennyrail.vercel.app/api/router/execute/intel","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"input":{"type":"string","description":"Input passed to the resolved PennyRail product."},"intent":{"type":"string","description":"Natural-language task. Omit when productId is supplied."},"productId":{"type":"string","description":"Optional exact PennyRail product id returned by find/quote."}}},"responseSchema":{"type":"object","additionalProperties":true},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.005","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":"$0.005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_ek9kEwkH5UJxtpV1BBvln","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Routes a natural-language task or product ID to a PennyRail product and executes it, returning a machine-readable result","exampleAgentPrompt":"Use PennyRail to execute the following task: summarize the key points from this text — 'Artificial intelligence is transforming industries by automating complex tasks, improving decision-making, and enabling new products.' Route it by intent since I don't have a specific product ID.","exampleUseCases":[{"title":"Automated text processing via PennyRail","prompt":"I want to run a quick text task through PennyRail — take this sentence 'Climate change is the defining challenge of our era' and use the intent 'extract the main topic and sentiment' to get a machine-readable result back."},{"title":"Execute known PennyRail product by ID","prompt":"I have a PennyRail product ID 'prod_abc123' and I want to run it with the input 'What are the top 3 benefits of renewable energy?' — can you execute that product and give me the result?"},{"title":"Dispatch agent sub-task to PennyRail router","prompt":"My agent needs to offload a classification step — send the intent 'classify this customer message as a complaint, question, or compliment' with the input 'I've been waiting three weeks for my order and no one has responded' to PennyRail and return whatever it resolves."}],"resultDescription":"An open-ended JSON object containing the execution output from the resolved PennyRail product. The structure varies depending on which product was dispatched; the response is machine-readable and may include text, structured data, scores, or other task-specific fields.","failureModes":["Payment failure: insufficient USDC balance or x402 payment not accepted, resulting in a 402 error","Invalid productId: if the specified productId does not exist or is inactive, the request may fail or route incorrectly","Ambiguous intent: if the intent field is too vague, the router may resolve an unexpected product","Missing required fields: omitting both intent and productId may result in a routing error","Service unavailability: Vercel hosting may experience cold-start delays or downtime","Malformed input: non-string or oversized input values may cause validation errors"],"whenToPreferThis":"Choose this endpoint when you want to dynamically route a natural-language task to the appropriate PennyRail product without knowing the exact product ID upfront, or when you already have a PennyRail product ID and want to execute it directly. It is especially useful for AI agents that need to delegate micro-tasks to a settlement-backed execution layer with micropayment support via x402. Prefer this over manual product lookup when low-latency, one-shot task dispatch is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T00:48:06.101Z","isFirstParty":false}