AgentIndex x402 Async Research Jobs

x402

AgentIndex x402 Async Research Jobs is a paid API for AI agents from x402.agentindex.world, paid per call via x402, $0.1/call, status unknown (last checked 2026-10-27).

Submits an asynchronous deep-research job on a subject (company, person, product, claim, or topic) and returns a job ID with an estimated completion time.

Price / call$0.1

Seller volume →—

Success—

StatusUnknown

How this service works

Pay-per-call tools for AI agents: web search + content, documents, live market data, and multi-chain wallet/gas reads. Mainnet test from $0.000001 USDC on Base. Pay-per-call tools for AI agents in USDC on Base (x402/MPP): search, pdf, web-read, extract, summarize, fact-check, translate, jobs, discover. See GET /capabilities.

Output

Returns a JSON object containing a unique job_id (e.g. 'abc123') and an eta_seconds field indicating the estimated time in seconds before the research results will be ready. The agent should use the job_id to poll a separate endpoint for the completed research output once the ETA has elapsed.

Example use cases

Startup due diligence research job

“Run a deep background research job on the startup Cohere — I need info on their funding rounds, leadership team, and main competitors.”

Fact-checking a product claim

“Submit an async research job to investigate whether the claim 'Athletic Greens contains 75 vitamins and minerals' is accurate.”

Public figure background investigation

“Start a research job on Sam Altman — I want a thorough overview of his career history, public statements, and current role.”

Technical details

Endpoint

GEThttps://x402.agentindex.world/jobs?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need deep, comprehensive research on a subject (company, person, product, claim, or topic) and can tolerate an asynchronous/batch workflow with a polling pattern. It is preferable to synchronous web search when the research task requires more time and depth than a real-time query can provide. Best suited for AI agents that can fire-and-forget a job and retrieve results later via the returned job_id.

Side effects

Missing or empty subject field returns a validation error
Payment failure via x402 protocol results in 402 Payment Required with no job created
Subject is too vague or ambiguous, potentially yielding low-quality results
Job queue overload may result in longer-than-estimated ETA or timeout
Network or service unavailability returns 5xx error with no job_id issued

Input

Schema · Request body

Field	Type	Description
subject	string	Subject or question to research - a company, person, product, claim or topic.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "job_id": "abc123",
    "eta_seconds": 60
  }
}

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