{"uid":"cap_1gv-o-0NTaeDbIr8UHrQw","slug":"nova-web-research-596d0b7d","name":"NOVA Web Research","description":"Machine-facing pay-per-call utility services using x402 on Base with USDC.","url":"https://nova-demand-worker.vercel.app/x402/web-research?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"urls":{"type":"array","items":{"type":"string"},"maxItems":10,"minItems":1},"query":{"type":"string"}}},"responseSchema":{"type":"json","example":{"mode":"deterministic-web-research","query":"example","failed":0,"sources":[],"requested":1,"succeeded":1}},"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_xSUp0aCp9PL5ei19nl58o","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":"Fetches and analyzes content from up to 10 URLs against a query using deterministic web research, returning structured source results.","exampleAgentPrompt":"Research these three URLs — https://example.com/ai-report, https://techsite.com/llm-overview, https://news.com/ml-trends — and pull out everything relevant to 'large language model adoption in enterprise software'.","exampleUseCases":[{"title":"Competitive intelligence from known sources","prompt":"I have these five competitor blog posts — https://competitor1.com/product-update, https://competitor2.com/launch, https://competitor3.com/pricing, https://competitor4.com/roadmap, https://competitor5.com/features — can you research them all and find anything relevant to 'AI pricing strategies'?"},{"title":"Due diligence on cited references","prompt":"These are the sources cited in a white paper I'm reviewing: https://source1.org/study, https://source2.edu/data, https://source3.gov/report — research all of them and tell me what they actually say about 'carbon emissions reduction targets'."},{"title":"Market research from curated URL list","prompt":"Look up these four industry pages — https://industry1.com/market-size, https://industry2.com/trends, https://industry3.com/forecast, https://industry4.com/analysis — and extract everything relevant to 'electric vehicle battery demand through 2030'."}],"resultDescription":"A JSON object containing the research mode ('deterministic-web-research'), the original query, the number of URLs requested, how many succeeded, how many failed, and an array of source objects with content extracted from each URL relevant to the query.","failureModes":["URLs that are paywalled or require authentication return in the 'failed' count with no content","Malformed or unreachable URLs increment the failed counter and are excluded from sources","Exceeding 10 URLs in the array causes a validation error","Missing required 'query' or 'urls' fields results in a 400-level error","Payment failure via x402 protocol blocks the request before processing"],"whenToPreferThis":"Choose this endpoint when you have a specific set of URLs you want to research against a defined query — it is ideal for deterministic, targeted web research rather than open-ended search. Prefer it over general search APIs when you already know which sources to consult and need structured extraction of relevant content from those pages. Best suited for agents doing due diligence, competitive research, or content aggregation from known URLs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-11T06:47:35.410Z","isFirstParty":false,"canonicalSlug":"nova-web-research-596d0b7d"}