# TavilyX Deep Search with RAG Synthesis

> TavilyX Deep Search with RAG Synthesis is a paid API for AI agents from searchtav.vercel.app, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).

Performs a deep web search using Tavily and synthesizes a RAG-based answer using NVIDIA NIM, returning both a direct answer and source results, paid via x402 on Base.

## Facts

- Endpoint: GET https://searchtav.vercel.app/search/deep
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/tavilyx-deep-search-with-rag-synthesis-c14f2945
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qoRIzdQIRswBCrwyLSQlE

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability tavilyx-deep-search-with-rag-synthesis-c14f2945
```

Example prompt: Search the web for the latest developments in quantum computing error correction and give me a synthesized answer — limit to 10 results.

## When to prefer this

Choose this endpoint when you need both live web search results and a synthesized, coherent answer in one call — ideal for research tasks, current events, or fact-finding where you want more than a list of links. Prefer over generic search APIs when you need a RAG-style answer grounded in fresh web data, and over static knowledge bases when recency matters.

## Known failure modes

- Missing required 'q' parameter returns 400 error
- Payment not provided or insufficient USDC triggers 402 Payment Required
- limit out of range (not 1-20) may return validation error
- Upstream Tavily or NVIDIA NIM outage causes 502 or timeout
- Vercel cold start may add latency on first call

## How this service works

Paid web search + RAG synthesis API. Tavily + NVIDIA NIM + x402 on Base.

## Output

Returns a JSON object containing the original query, a synthesized natural-language answer generated via RAG, an array of source search results, and the response time in seconds.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "required": [
  "q"
 ],
 "properties": {
  "q": {
   "type": "string",
   "description": "Search query"
  },
  "limit": {
   "type": "integer",
   "description": "Max results (1-20)"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "query": {
   "type": "string"
  },
  "answer": {
   "type": "string"
  },
  "results": {
   "type": "array"
  },
  "response_time": {
   "type": "number"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/tavilyx-deep-search-with-rag-synthesis-c14f2945/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from searchtav.vercel.app](https://www.zero.xyz/host/searchtav.vercel.app/llms.txt)