# AgentBit Intel Research — Live Web Q&A with Citations

> AgentBit Intel Research — Live Web Q&A with Citations is a paid API for AI agents from agentbit.app, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-30).

Answers a natural-language question by searching the live web and synthesizing a grounded LLM response with cited sources, confidence score, and follow-up suggestions.

## Facts

- Endpoint: POST https://agentbit.app/v1/intel/research?utm_source=zero.xyz
- Price: $0.03/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agentbit-intel-research-live-web-q-a-with-citations-193cd256
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TY_eRXwi8uiCcZz7f07Sn

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 agentbit-intel-research-live-web-q-a-with-citations-193cd256 -d '<json body>'
```

Example prompt: Search the live web and answer this question for me with cited sources: 'What are the latest regulatory changes affecting crypto staking in the US in 2025?' — retrieve up to 6 sources.

## When to prefer this

Choose this endpoint when you need a current, grounded answer to a factual or research question and require source citations for transparency or downstream validation. It is ideal when the question requires up-to-date information beyond a model's training cutoff, or when an agent needs to show its work with verifiable URLs. Prefer this over plain LLM generation when freshness and citation provenance matter, and over raw web scraping when you need a coherent synthesized answer rather than raw HTML.

## Known failure modes

- Question is too vague or ambiguous — low-confidence answer returned
- Web search returns no relevant results for niche or very recent topics
- max_sources out of range (must be 1–8) — validation error
- LLM synthesis fails to reconcile conflicting sources — low confidence flagged
- Network timeout or upstream search provider failure — 5xx error
- Payment not included or insufficient — 402 Payment Required

## How this service works

Answer a question from the live web with citations in one call: web search + grounded LLM synthesis. Returns answer, cited sources, confidence, follow-ups.

## Output

Returns a synthesized natural-language answer grounded in live web results, a list of cited source URLs with titles/snippets, a confidence score indicating how well sources support the answer, and a set of suggested follow-up questions for deeper research.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "question": {
   "type": "string",
   "description": "The question to answer (required)."
  },
  "max_sources": {
   "type": "integer",
   "description": "How many web sources to retrieve (1-8, default 5)."
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agentbit-intel-research-live-web-q-a-with-citations-193cd256/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from agentbit.app](https://www.zero.xyz/host/agentbit.app/llms.txt)