{"uid":"cap_f1y0_u3V8oM4ADBbIyd-i","slug":"serp-extract-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-e7ce4425","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/ai-paper-radar)","url":"https://serp-extract.agentdiet.dev/v1/ai-paper-radar?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_yeTZHNNYgrmfdxCaEk1Rd","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":"Search ArXiv for recent papers on diffusion models for image generation and give me the abstracts, authors, and BibTeX for the top results.","exampleUseCases":[{"title":"Literature review for a research project","prompt":"I'm writing a survey on in-context learning for LLMs — can you search ArXiv for the most relevant papers and give me their abstracts, authors, and BibTeX entries so I can build my references list?"},{"title":"Fetching details for a known paper","prompt":"Can you pull up the full abstract, author list, and PDF link for ArXiv paper 2305.11206? I need the BibTeX too so I can cite it properly."},{"title":"Tracking new work in a niche area","prompt":"Search ArXiv for recent papers on mechanistic interpretability of neural networks and give me structured summaries — title, abstract, authors, and citation info — for the top findings."}],"resultDescription":"Returns structured records for matched ArXiv papers, including paper title, authors list, abstract text, PDF download link, and BibTeX citation string, formatted for token-efficient consumption by AI agents.","failureModes":["No papers found for an overly narrow or misspelled query — returns empty results","Invalid ArXiv paper ID format produces an error or empty response","ArXiv upstream API unavailability causing timeouts or partial results","Payment not processed (HTTP 402) if x402 payment header is missing or invalid","Rate limiting if the endpoint is called too rapidly in succession"],"whenToPreferThis":"Prefer this endpoint when an agent needs structured, citation-ready academic paper metadata (abstracts, BibTeX, PDF links) from ArXiv specifically for AI, CS, or math topics, especially when token efficiency matters and the agent needs to avoid parsing raw ArXiv HTML or XML. It is better than scraping ArXiv directly because it returns clean, structured, token-pruned output ready for downstream agent consumption.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T07:23:38.995Z","isFirstParty":false,"canonicalSlug":"serp-extract-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-57754fee"}