# Aubrai Deep Research Job Starter

> Aubrai Deep Research Job Starter is a paid API for AI agents from x402-api.aubr.ai, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-15).

Initiates a multi-agent deep research job on longevity or aging topics, returning a conversation ID to poll for the full synthesized report.

## Facts

- Endpoint: GET https://x402-api.aubr.ai/api/deep-research/start
- Price: $0.2/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/x402-api-aubr-ai-94ea4493
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DiDuvrQ6JUS68odLvlTVD

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 x402-api-aubr-ai-94ea4493
```

Example prompt: Can you kick off a smart-depth deep research job on the latest advances in senolytic therapies and their effects on healthspan? I want Aubrai to orchestrate the full literature synthesis and hypothesis generation.

## When to prefer this

Use this endpoint when you need a comprehensive, multi-agent synthesized research report on longevity or aging topics and can tolerate asynchronous, batch-style processing. Prefer 'steering' mode for quick exploratory tasks ($0.20), 'smart' for balanced depth ($1.00), and 'fully-autonomous' for exhaustive research ($8.00). Choose this over a simple literature search when you need hypothesis generation and data analysis, not just document retrieval.

## Known failure modes

- Invalid researchMode enum value returns a 400 validation error
- Missing message field causes a 400 bad request
- Payment not provided or insufficient USDC amount causes a 402 Payment Required response
- Query outside longevity/aging domain may return an off-topic or empty report
- Job queue overload may delay queuing and return a timeout or 503
- Polling conversation ID not found if job hasn't been created yet

## How this service works

Start a deep research job on any longevity or aging topic. Aubrai orchestrates sub-agents for literature synthesis, data analysis, and hypothesis generation — returns a conversation ID to poll for the full report.

## Output

Returns a JSON object with a conversation ID (e.g. conv_abc123) and a status field (e.g. 'queued'), which the agent can then poll to retrieve the full multi-agent research report including literature synthesis, data analysis, and hypothesis generation.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "message": {
   "type": "string",
   "description": "Research query"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "status": "queued",
  "conversationId": "conv_abc123"
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/x402-api-aubr-ai-94ea4493/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from x402-api.aubr.ai](https://www.zero.xyz/host/x402-api.aubr.ai/llms.txt)