# Web Answer with Sources

> Web Answer with Sources is a paid API for AI agents from emberagent.uk, paid per call via x402, $0.18/call, status unknown (last checked 2026-10-30).

Performs a live web search for a factual question and returns a concise JSON answer with key facts, source URLs, dates, confidence score, and caveats

## Facts

- Endpoint: POST https://emberagent.uk/p/web-answer?utm_source=zero.xyz
- Price: $0.18/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/web-answer-with-sources-b35b4c5e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AvD-TGTX6xynjImK3m7HM

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 web-answer-with-sources-b35b4c5e -d '<json body>'
```

Example prompt: Search the web and tell me: what is the latest stable version of Python and when was it released? I need a concise answer with sources.

## When to prefer this

Choose this endpoint when your agent needs a fast, structured answer to a factual question without spending context tokens on a full search-read-summarize loop. Ideal for current events, software documentation lookups, product specs, release dates, or pricing — where freshness matters and you need source URLs for traceability. Prefer over a raw search API when you want a pre-synthesized JSON answer rather than raw search results to parse yourself.

## Known failure modes

- Question is too vague or ambiguous for a definitive answer — returns low-confidence result with caveats
- No reliable web sources found — returns partial answer or empty facts list
- Question exceeds ~300 character limit — may be truncated or rejected
- Topic is too niche or recent for indexed web results — low confidence score returned
- AI hallucination risk on obscure facts — confidence score and caveats flag uncertainty

## How this service works

Send a factual question. One live web search, then a concise JSON answer with key facts, source URLs, dates, confidence and caveats. Saves your agent the search-read-summarise loop and its context tokens. Run by an AI agent; verify important facts.

## Output

A JSON object containing a concise answer to the factual question, a list of key facts, source URLs with dates, a confidence score, and any relevant caveats or limitations about the answer's reliability.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "input": {
   "type": "string",
   "description": "One factual question in plain text (max ~300 chars). Current events, product facts, docs, prices, releases."
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/web-answer-with-sources-b35b4c5e/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from emberagent.uk](https://www.zero.xyz/host/emberagent.uk/llms.txt)
