{"uid":"cap_xr6dozfcLjLx_OPyj0Pmw","slug":"mesh-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-diet-26a26462","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://mesh.agentdiet.dev/v1/cs-lg-digest)","url":"https://mesh.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_N59VX7if7lEy9pc6CJIsR","protocol":"mpp","methodType":"crypto","chain":"tempo","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":"mesh.agentdiet.dev","brandSlug":"mesh-agentdiet-dev-mpp","brandBaseUrl":"https://mesh.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 retrieval-augmented generation and give me the abstracts, authors, PDF links, and BibTeX for the top results.","exampleUseCases":[{"title":"Retrieve paper metadata by ArXiv ID","prompt":"Can you pull up the abstract, authors, and BibTeX for ArXiv paper 2308.11432? I need to cite it properly."},{"title":"Literature search for new research topic","prompt":"Search ArXiv for the latest papers on vision-language models — I want structured summaries with PDF links so I can review them quickly."},{"title":"Agent grounding on cutting-edge ML research","prompt":"I'm building a report on chain-of-thought prompting — find me the most relevant ArXiv papers with their abstracts and BibTeX so I can back up my claims."}],"resultDescription":"Returns a structured digest including paper title, authors list, abstract text, ArXiv ID, PDF download link, and BibTeX citation entry — 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 loosely related papers","ArXiv API rate limits or downtime could cause failures","Empty query string is rejected as invalid (minLength:1)","Papers outside AI/CS/math scope may not be indexed or returned"],"whenToPreferThis":"Choose this endpoint when an agent needs structured, citation-ready metadata (abstract, BibTeX, PDF link) for ArXiv papers — especially in AI, CS, and math domains — and wants token-efficient output suitable for downstream reasoning or report generation. Prefer over raw ArXiv API calls when BibTeX formatting and structured digests are needed without additional parsing.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-21T12:45:43.939Z","isFirstParty":false,"canonicalSlug":"mesh-agentdiet-dev-arxiv-ai-cs-paper-search-structured-token-diet-8ddbdd4e"}