{"uid":"cap_cRdbX8QeGlRIXjLEXz2Le","slug":"spipe-research-api-bd856790","name":"spipe Research API","description":"Web search, content extraction, and research APIs for AI agents. x402 on Base.","url":"https://spip35.vercel.app/research","method":"POST","headers":{},"bodySchema":{"type":"object","required":["input"],"properties":{"input":{"type":"string","description":"Research question (max 40,000 chars)"},"research_effort":{"enum":["lite","standard","deep","exhaustive"],"type":"string"}}},"responseSchema":{"type":"object"},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","displayCostAsset":"USDC","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":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_jRF9rsq1cAr_QMVkPyJVA","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Performs AI-powered web research by searching, extracting, and synthesizing information in response to a research question","exampleAgentPrompt":"Do a deep research on the current state of open-source LLM fine-tuning techniques — I need a thorough synthesis of what methods exist, their trade-offs, and which are trending in 2024.","exampleUseCases":[{"title":"Competitive landscape deep dive","prompt":"Research the competitive landscape for cloud-based vector databases — who the main players are, their pricing models, and how they differentiate. Use exhaustive research effort."},{"title":"Quick background check on a company","prompt":"Do a lite research on Anthropic — give me a quick overview of what they do, their funding history, and their main products."},{"title":"Technical topic synthesis for a report","prompt":"I need a standard-depth research on quantum error correction methods — what the leading approaches are, where they stand today, and what challenges remain unsolved."}],"resultDescription":"A structured object containing synthesized research findings drawn from web searches and content extraction, including relevant facts, sources, and a coherent answer to the research question. Depth and breadth of results scale with the chosen research_effort level.","failureModes":["Research question exceeds 40,000 character limit — request rejected","Invalid research_effort enum value — validation error returned","No relevant web results found for obscure or highly specific queries","Timeout or partial results for exhaustive research effort on complex topics","Service unavailable or payment processing failure via x402 protocol"],"whenToPreferThis":"Choose this endpoint when an AI agent needs to answer a complex, open-ended question that requires synthesizing information from multiple web sources rather than a single lookup. It is especially useful for background research, competitive analysis, or any task where the answer requires reading and combining content from across the web. The adjustable research_effort parameter makes it suitable for both quick overviews (lite) and thorough multi-source investigations (exhaustive).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T12:39:14.456Z","isFirstParty":false}