{"uid":"cap_6ogyHtaZ3RM_TV--3uLtf","slug":"shopify-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-f48fd37d","name":"ArXiv AI/CS Paper Search & Structured Token-Diet Digest","description":"Queries ArXiv for AI/CS/math papers and returns structured abstracts, authors, PDF links, and BibTeX. (Live x402 v2, IETF MPP & MCP endpoint at https://shopify-intel.agentdiet.dev/v1/llm-benchmark-papers)","url":"https://shopify-intel.agentdiet.dev/v1/llm-benchmark-papers?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","required":["query"],"properties":{"query":{"type":"string","minLength":1,"description":"ArXiv paper ID (e.g. 2308.11432) or research topic search query"}}},"responseSchema":{"type":"object"},"example":null,"exampleRequest":null,"tags":[],"displayCostAmount":"0.01","displayCostAsset":"USD","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":"$0.01/call","primary":{"kind":"static","protocol":"mpp","network":"tempo","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"mpp","network":"tempo","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Xj1e4dkXla3DfMp_GM9TK","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"shopify-intel.agentdiet.dev","brandSlug":"shopify-intel-agentdiet-dev-mpp","brandBaseUrl":"https://shopify-intel.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Searches ArXiv for AI, CS, and math papers by topic or paper ID and returns structured abstracts, authors, PDF links, and BibTeX citations.","exampleAgentPrompt":"Search ArXiv for recent papers on in-context learning and give me structured abstracts, author lists, PDF links, and BibTeX entries for the top results.","exampleUseCases":[{"title":"Literature review for LLM benchmarking","prompt":"Find me ArXiv papers on LLM evaluation benchmarks — I need structured abstracts, authors, and BibTeX entries so I can build my literature review."},{"title":"Fetch specific preprint by ID","prompt":"Pull up ArXiv paper 2305.10601 and give me the abstract, author list, PDF link, and BibTeX citation for it."},{"title":"Track AI safety research topics","prompt":"Search ArXiv for the latest papers on AI alignment and constitutional AI and return their abstracts and citation info in a structured format."}],"resultDescription":"Returns a structured response containing paper titles, author lists, abstracts, PDF download links, and BibTeX citation strings for papers matching the query or paper ID. Results are token-compressed for efficient agent consumption.","failureModes":["Invalid or non-existent ArXiv paper ID returns no results or an error","Overly broad or ambiguous query may return irrelevant papers","ArXiv API rate limits or downtime may cause failures","Empty query string rejected due to minLength:1 constraint","Payment failure via x402 protocol if USDC balance is insufficient"],"whenToPreferThis":"Choose this endpoint when you need structured, machine-readable ArXiv paper metadata (abstracts, BibTeX, PDF links) for AI/CS/math research — especially when you want token-efficient output suitable for agent pipelines. Prefer this over raw ArXiv API access when you need pre-parsed, digest-ready output without post-processing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T06:30:20.311Z","isFirstParty":false,"canonicalSlug":"shopify-intel-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-c826b3e2"}