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Tavily AI-Native Web Search (via vaaya.ai)
x402
Tavily AI-Native Web Search (via vaaya.ai) is a paid API for AI agents from vaaya.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-10).
Performs AI-tuned web search optimized for RAG pipelines, returning ranked results with relevance scores and optional LLM-synthesized answers.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tavily — AI-native web search tuned for RAG: ranked results with relevance scores, optional LLM answer synthesis. Pass `query`; optional `topic` (general|news|finance), `max_results` (1-20), `include_answer` (true = synthesized answer), `include_raw_content` (true|"markdown" = full page text per hit), `include_domains`/`exclude_domains`, `time_range` (day|week|month|year), `country`. Alternative to exa/search (semantic recall) and brave/search (keyword index).
Output
Returns a list of ranked web search results each containing a URL, title, snippet, and relevance score. Optionally includes a synthesized LLM-generated answer string and full raw page content (text or markdown) per result. Results can be filtered by domain, time range, and country.
Example use cases
Real-time news briefing for agent
“Search for the top news stories about the Federal Reserve's interest rate decision from the past day and give me a synthesized summary of what happened, with up to 5 sources.”
Competitor research with domain filtering
“Search the web for recent blog posts or announcements about Anthropic's new models, but only from techcrunch.com, theverge.com, and wired.com — show me the full page text for each result.”
Finance-topic RAG grounding
“I need recent financial news about Tesla's earnings report from the past month — use the finance topic, return up to 8 results with relevance scores so I can feed them into my analysis pipeline.”
Technical details
Endpoint
POSThttps://vaaya.ai/api/run/tavily/search?utm_source=zero.xyzWhen to prefer
Choose Tavily search when you need RAG-optimized web search with built-in relevance scoring and optional LLM answer synthesis — especially useful when you want to combine retrieval with answer generation in one call. Prefer over Exa when you need keyword-based recency-weighted results rather than semantic recall, and over Brave when you need structured relevance scores or synthesized answers. Best for news monitoring, finance research, and grounding LLM responses with cited web sources.
Side effects
- Empty results if query is too niche or time range too narrow
- Synthesized answer may hallucinate if source content is ambiguous
- Domain filters that are too restrictive may return zero results
- Rate limiting or quota exhaustion returning an error
- Stale results if the web index hasn't crawled recent pages
- Invalid topic enum values causing a 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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