{"uid":"cap_R-OHdCco4K79i2xl1QNE7","slug":"jarvisclaw-rerank-8b336754","name":"JarvisClaw Rerank","description":"AI API Gateway with smart routing, pay per call via x402. OpenAI-compatible. Settled in USDC on Base & Solana.","url":"https://api.jarvisclaw.ai/v1/rerank","method":"POST","headers":{},"bodySchema":null,"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.045","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":"$0.045/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.045","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.045","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_A1qAQq3yt-v3hmGr9LmLs","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.045","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Reranks a list of documents or passages by relevance to a query using AI, via a pay-per-call x402 gateway settled in USDC","exampleAgentPrompt":"Rerank these 10 retrieved passages by how relevant they are to the query 'What are the side effects of ibuprofen?' and return them sorted with relevance scores so I can pass the top 3 to my LLM.","exampleUseCases":[{"title":"Refine search results for customer support","prompt":"I've got 20 help articles from our knowledge base that mention 'billing issues', but they're not all equally relevant. Can you rerank them by how closely they match 'Why was I charged twice?' so our support agent can show customers the most helpful articles first?"},{"title":"Improve RAG quality for legal document review","prompt":"We pulled 15 contract excerpts from our legal database using keyword search. Please rerank these by relevance to 'What are the termination clauses?' and score each one so we only pass the top 5 most relevant passages to our analysis model."},{"title":"Prioritize product reviews by query match","prompt":"I have 50 customer reviews about our product. Can you rerank them based on how well they answer 'Is this good for sensitive skin?' and give me relevance scores so I can surface the most useful reviews to potential buyers?"}],"resultDescription":"A reranked list of the input documents sorted by relevance score descending, each item accompanied by a relevance/confidence score indicating how well it matches the query.","failureModes":["Empty document list returns an error or empty results","Query or documents exceed token/length limits causing a 400 error","Payment not included or insufficient USDC balance triggers a 402 Payment Required response","Malformed request body (missing query or documents field) returns a 422 validation error","Service unavailable or gateway timeout returns a 5xx error","Documents list too large causes rate limit or payload error"],"whenToPreferThis":"Use this endpoint when you have a set of candidate documents or passages retrieved via vector search, keyword search, or any retrieval method, and want to rerank them by semantic relevance before feeding them into an LLM. Ideal for RAG pipelines where retrieval quality matters. Prefer this over embedding-based similarity when you need a dedicated cross-encoder reranker. The x402 pay-per-call model suits sporadic or agent-driven usage without subscription commitment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T13:06:11.715Z","isFirstParty":false}