Illustrative API
Integration patterns for enterprise AI workflows
The endpoints below are conceptual interface examples, not claims that a production enterprise API is currently exposed.
POST /api/v1/projects
POST /api/v1/tasks
GET /api/v1/tasks/{id}
POST /api/v1/tasks/{id}/results
GET /api/v1/projects/{id}/metrics
POST /api/v1/tasks
Authorization: Bearer <token>
Content-Type: application/json
{
"project_id": "prj_...",
"task_type": "response_ranking",
"input": { "prompt": "..." },
"quality": { "reviewers": 2 }
}Future integration methods
Use the connection model that fits the workflow
REST API
Authentication, authorization, idempotency, auditing, and data-handling rules are required before production activation.
Webhook
Authentication, authorization, idempotency, auditing, and data-handling rules are required before production activation.
Batch upload
Authentication, authorization, idempotency, auditing, and data-handling rules are required before production activation.
Secure file transfer
Authentication, authorization, idempotency, auditing, and data-handling rules are required before production activation.
Custom enterprise connector
Authentication, authorization, idempotency, auditing, and data-handling rules are required before production activation.