ExpertAIData
API & SDKs

Expert judgment, one API call away.

Trigger expert pipelines from your eval harness, stream consensus results, and export certified datasets programmatically.

from expertaidata import Client

client = Client(api_key="sk_live_...")
bounty = client.bounties.create(
    type="evaluate",
    expertise=["attorney:delaware"],
    consensus=3,
    reward_usd=85,
    budget_usd=25_000,
)
print(bounty.id, bounty.status)  # B-2041 routing
Connected data pipeline nodes
Core endpoints

A small, predictable surface.

POST/v1/bountiesCreate a routed expert task batch
GET/v1/bounties/{id}/itemsStream submissions and consensus
POST/v1/webhooksSubscribe to lifecycle events
GET/v1/datasets/{id}/exportDownload JSONL, CSV or Parquet
Request API keysPipeline overview
0.00%
Uptime SLA
0
Data regions
0/7
Support coverage
0%
Audit-logged actions
Deployment

Fits your stack.

Trigger bounties from your eval harness, receive results via webhooks, and keep everything inside your governance model.

  • REST API with Python and TypeScript SDKs
  • Webhooks for every lifecycle event
  • Role-based access and SSO
webhook · consensus.reached
{
  "event": "consensus.reached",
  "bounty": "B-2041",
  "item": "t_8812",
  "kappa": 0.93
}
Controls

Built for security review.

01
Private enclaves

Data never leaves controlled workspaces.

02
Zero retention

Optional deletion after delivery.

03
Expert NDAs

Signed per engagement.

04
Dedicated CSM

Named team and quarterly reviews.

FAQ

Questions, answered.

Enterprise agreements include a DPA; ask our team about healthcare-specific requirements.

Yes — pools can be limited by country and residency.

Enterprise customers get a sandbox environment for integration testing.

Expert data as infrastructure.

Get a technical walkthrough with our solutions team.

Talk to salesTrust center