{"uid":"cap_bVwvesQDhwTXd7rom5g1u","slug":"agentdiet-arxiv-digest-distillation-endpoint-8b0eb6d1","name":"AgentDiet ArXiv Digest Distillation 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://company-enrich-72343955726.us-central1.run.app/v1/arxiv-digest?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"type":"object","required":["query"],"properties":{"query":{"type":"string","minLength":1,"description":"ArXiv paper ID (e.g. 2308.11432) or research topic search query"}},"additionalProperties":false},"output":{"type":"object","required":["status","roi_proof","data"],"properties":{"data":{"type":"object"},"status":{"type":"string"},"roi_proof":{"type":"object"}}}}},"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_-AOfohHPnmeZYwb90cxph","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 academic paper content into compressed, agent-ready markdown, reporting token savings and compression ratio.","exampleAgentPrompt":"Can you fetch and distill the ArXiv paper 2310.06825 into clean agent-ready markdown so I can read it without blowing my token budget?","exampleUseCases":[{"title":"Summarizing ML paper for research agent","prompt":"Pull the ArXiv paper on attention mechanisms — 1706.03762 — and distill it into compressed markdown so my agent can process it without using thousands of tokens."},{"title":"Daily ArXiv digest for AI newsletter","prompt":"Grab the latest ArXiv paper on diffusion models and distill it into clean markdown — I want the title, key content, and compression stats so I know how many tokens we saved."},{"title":"Token-efficient academic literature review","prompt":"I need to review the ArXiv paper 2305.10601 for a literature survey — can you distill it down to agent-ready markdown and show me the ROI on token savings?"}],"resultDescription":"Returns a JSON object with a 'data' field containing the distilled content in markdown format plus a title, and an 'roi_proof' object showing raw token count, distilled token count, tokens saved, compression ratio percentage, and ROI multiplier — useful for verifying token efficiency gains.","failureModes":["Invalid or non-existent ArXiv paper ID returns an error status","ArXiv rate limiting or availability issues causing fetch failure","Payment not processed via x402/HTTP 402 results in 402 response requiring USDC payment","Malformed request parameters result in a 400-style error","Very short papers may yield low compression ratios with minimal token savings"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to ingest ArXiv academic papers with minimal token overhead — particularly when working within tight context windows or managing LLM costs. It is especially valuable for research pipelines, academic literature reviews, or any workflow where reading full ArXiv paper text would be prohibitively expensive in tokens. Prefer this over raw ArXiv fetching when compression ratio and ROI visibility matter.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T13:03:17.121Z","isFirstParty":false,"canonicalSlug":"agentdiet-arxiv-digest-distillation-endpoint-8b0eb6d1"}