{"uid":"cap__S7hbAavVeeBasRejHWcn","slug":"alpha-stream-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-7598db05","name":"ArXiv AI/CS Paper Search & Structured 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://alpha-stream.agentdiet.dev/v1/cs-lg-digest)","url":"https://alpha-stream.agentdiet.dev/v1/cs-lg-digest?utm_source=zero.xyz","method":"GET","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_U2opbq8slcyycpKLB1XtU","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"alpha-stream.agentdiet.dev","brandSlug":"alpha-stream-agentdiet-dev-mpp","brandBaseUrl":"https://alpha-stream.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":"Can you look up recent ArXiv papers on chain-of-thought prompting and give me the abstracts, authors, and BibTeX for the top results?","exampleUseCases":[{"title":"Literature review for AI research","prompt":"Search ArXiv for papers on retrieval-augmented generation and give me structured abstracts and BibTeX citations so I can build my literature review."},{"title":"Fetch specific paper by ArXiv ID","prompt":"I have the ArXiv ID 2305.10601 — can you pull up the full abstract, author list, and PDF link for that paper?"},{"title":"Track latest ML research topic","prompt":"Find the most recent ArXiv papers on mixture-of-experts language models and summarize what each one is about, including who wrote them."}],"resultDescription":"Returns structured data for matching ArXiv papers including paper title, abstract text, author names, PDF download URL, BibTeX citation string, and ArXiv paper ID — formatted for easy consumption by agents or researchers.","failureModes":["Invalid or non-existent ArXiv paper ID returns empty results or error","Overly broad query may return irrelevant or too many results","Payment failure via x402/HTTP 402 if USDC balance is insufficient","Rate limiting or timeout if ArXiv upstream is slow","Query string too short or empty triggers validation error"],"whenToPreferThis":"Use this endpoint when an agent needs structured, machine-readable academic paper metadata from ArXiv — especially when BibTeX citations, author lists, and PDF links are required alongside abstracts. Prefer this over raw ArXiv scraping when you need a clean, token-efficient digest format ready for downstream agent processing. Best suited for AI, CS, and math literature research tasks.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:21:52.420Z","isFirstParty":false,"canonicalSlug":"alpha-stream-agentdiet-dev-arxiv-ai-cs-paper-search-structured-digest-829b80f9"}