# BlockRun.AI Web-Grounded AI Answer

> BlockRun.AI Web-Grounded AI Answer is a paid API for AI agents from blockrun.ai, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-14).

Returns an AI-generated answer to a natural language question, sourced and grounded in live web search results with citations.

## Facts

- Endpoint: POST https://blockrun.ai/api/v1/exa/answer
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/blockrun-ai-159b634f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8VPSXQL5PN9xvEYb07Gf_

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 blockrun-ai-159b634f -d '<json body>'
```

Example prompt: What are the latest developments in quantum computing this year? Give me an answer grounded in current web sources.

## When to prefer this

Use this endpoint when you need a factual, up-to-date answer grounded in live web content rather than an LLM's training data alone — especially for current events, recent developments, or topics requiring source citations. Prefer this over a plain LLM call when freshness and verifiability matter.

## Known failure modes

- Empty or vague query may yield a low-quality or generic answer
- Live web search may fail to find relevant results for highly niche queries
- Truncated response if the answer is very long
- Rate limiting or payment failure if USDC balance is insufficient
- Exa search backend unavailability causing degraded results

## How this service works

Get an AI-generated answer to a question grounded in live web search results.

## Output

A detailed, natural language answer to the posed question, synthesized by an LLM and grounded in live web search results, with inline citations linking to the source URLs used to generate the answer.

## Example request

```json
{
 "query": "What are the latest developments in artificial intelligence in 2024?"
}
```

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "query": {
   "type": "string",
   "description": "Question to answer (grounded in live web search)."
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/blockrun-ai-159b634f/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from blockrun.ai](https://www.zero.xyz/host/blockrun.ai/llms.txt)