Platform
One pipeline. Certified output.
From task definition to delivered dataset, every step is measured, auditable and API-driven.
Pipeline
Five stages, fully instrumented.
1
Ingest
Upload tasks or trigger via API.
2
Route
Match to credentialed experts.
3
Annotate & adjudicate
Redundant work, expert tie-breaks.
4
Deliver
Versioned, provenance-tracked data.
Consensus engine
Agreement, measured live.
Redundant expert judgments are scored in real time; disagreement routes to senior adjudicators automatically.
- Per-item κ and confidence
- Automatic adjudication triggers
- Expert Score feedback loop
B-2041 · consensus live
Agreement
0/3
Reward
$85.00 ea
Status
In review
API
Built for engineers.
Create bounties, stream results and export datasets programmatically.
- REST API and SDKs
- Webhooks for every event
- Sandbox environment
python
from expertaidata import Client
c = Client()
b = c.bounties.create(type="evaluate",
expertise=["attorney:DE"], consensus=3)→ routing to 214 matched experts
Capabilities
Everything in one console.
01
Rubric builder
Versioned instructions and gold items.
02
Budget controls
Caps, alerts and auto-pause.
03
Contributor management
Private pools and promotions.
04
Review queue
Approve, reject or escalate.
05
Quality analytics
Agreement, drift, throughput.
06
Exports
JSONL, CSV, Parquet, streaming.