{"uid":"cap_bB9aC386Fv73qh_06Fq62","slug":"agentdiet-arxiv-digest-endpoint-10cd32d1","name":"AgentDiet arXiv Digest Endpoint","description":"15-App Autonomous Business-to-Agent (B2A) API Hub & MCP Suite. Supports Web Distillation, On-Chain Risk, DEX Token Intelligence, B2B Lead Enrichment, Domain OSINT, Email Verification, SEC Filings, GitHub Audits, Prompt Firewall, and native HTTP 402 (x402 Base USDC).","url":"https://token-intel-72343955726.us-central1.run.app/v1/arxiv-digest?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":null,"responseSchema":{"type":"json","example":{"data":{"mode":"markdown","title":"Example Documentation","content":"# Example Documentation\nClean agent-ready markdown..."},"status":"ok","roi_proof":{"raw_tokens":14200,"tokens_saved":13520,"roi_multiplier":67.6,"distilled_tokens":680,"compression_ratio_pct":95.2}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm__87K1eLO-YcWsBgxqFinl","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fcd6edb6e08f4c7c32d4f71b54bda02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Fetches and distills arXiv research paper content into compressed, agent-ready markdown by stripping tokens and summarizing key information.","exampleAgentPrompt":"Can you grab the arXiv paper on attention mechanisms and give me a distilled markdown version — I want the key content compressed so I'm not burning through tokens reading the full thing?","exampleUseCases":[{"title":"Summarizing ML paper before meeting","prompt":"I have a paper review session tomorrow on the 'Attention Is All You Need' arXiv paper — can you distill it into clean markdown so I get the core ideas without reading the full 15 pages?"},{"title":"Agent research pipeline token reduction","prompt":"My agent needs to process 20 arXiv papers on diffusion models — can you pull and distill each one into compressed markdown so we keep the token count manageable?"},{"title":"Quick literature review for a startup","prompt":"I'm writing a funding proposal and need to reference the latest arXiv work on retrieval-augmented generation — can you distill the top paper into concise agent-ready markdown with the key findings?"}],"resultDescription":"Returns a JSON object with a 'data' field containing the distilled content in markdown format and a title, plus an 'roi_proof' block showing raw token count, distilled token count, tokens saved, compression ratio percentage, and ROI multiplier — giving the agent both the content and a quantified measure of efficiency gained.","failureModes":["Invalid or non-existent arXiv paper ID returns an error or empty content","Rate limiting or upstream arXiv availability issues may cause fetch failures","Payment not fulfilled via x402/HTTP 402 results in access denial","Very short or abstract-only papers may yield low compression ratios","Network timeout from Cloud Run cold start on first request"],"whenToPreferThis":"Choose this endpoint when you need to ingest arXiv academic papers into an AI agent pipeline and want to minimize token consumption by receiving pre-distilled, compressed markdown rather than raw full-text. It is especially useful when processing multiple papers, doing literature reviews, or feeding research content to LLMs with context limits. Prefer over raw web scraping when you need structured, clean output with quantified token savings.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T06:40:47.745Z","isFirstParty":false,"canonicalSlug":"agentdiet-arxiv-digest-endpoint-10cd32d1"}