{"uid":"cap_ov1wIMF0W59SwcPY6B46c","slug":"serp-extract-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-3779f419","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://serp-extract.agentdiet.dev/v1/llm-benchmark-papers)","url":"https://serp-extract.agentdiet.dev/v1/llm-benchmark-papers?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","required":["query"],"properties":{"limit":{"type":"integer","default":20,"maximum":100,"minimum":1,"description":"Maximum number of items to return per page (1-100)"},"query":{"type":"string","minLength":1,"description":"ArXiv paper ID (e.g. 2308.11432) or research topic search query"},"cursor":{"type":"string","description":"Opaque pagination cursor for fetching the next page"}}},"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_AQOZ4HAt4FeDMmV28Ta5J","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"serp-extract.agentdiet.dev","brandSlug":"serp-extract-agentdiet-dev-mpp","brandBaseUrl":"https://serp-extract.agentdiet.dev","brandDocsUrl":null,"whatItDoes":"Searches ArXiv for AI, CS, and math papers by topic or paper ID, returning structured abstracts, authors, PDF links, and BibTeX citations.","exampleAgentPrompt":"Can you search ArXiv for recent papers on chain-of-thought prompting and give me the structured abstracts, authors, and BibTeX for the top results?","exampleUseCases":[{"title":"Literature review for AI safety research","prompt":"Find me ArXiv papers on AI alignment and RLHF from the last year — I need the abstracts, author lists, and BibTeX so I can build out my literature review."},{"title":"Fetching a specific preprint by ID","prompt":"Can you pull up ArXiv paper 2308.11432 and give me its full abstract, authors, PDF link, and BibTeX citation?"},{"title":"Discovering benchmark papers for LLM evaluation","prompt":"Search ArXiv for papers on large language model evaluation benchmarks — I want structured summaries with PDF links I can share with my team."}],"resultDescription":"Returns a structured object containing paper titles, abstracts, author lists, PDF download links, ArXiv IDs, and BibTeX citation strings for papers matching the query or paper ID.","failureModes":["No papers found for obscure or misspelled query terms — returns empty results","Invalid ArXiv paper ID format returns an error or empty response","ArXiv upstream rate limiting or downtime causes request failure","Overly broad queries may return loosely relevant results with limited precision","Payment failure (HTTP 402) if x402 USDC micropayment is not completed before the call"],"whenToPreferThis":"Choose this endpoint when an agent needs structured, token-efficient academic paper metadata from ArXiv — especially abstracts, BibTeX, and PDF links — without parsing raw ArXiv HTML or XML. Ideal for research assistants, literature review pipelines, and citation management workflows. Prefer over direct ArXiv API access when token compression and structured output are priorities.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:22:41.046Z","isFirstParty":false,"canonicalSlug":"serp-extract-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-57754fee"}