Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Generate structured fields for an entity from context and a JSON Schema.
POST /v1/enrich reads entity_context and returns structured enrichment fields described by enrich_fields.
Use Enrich when you already have an entity and want to fill additional fields such as a company summary, current CEO, category, or other structured attributes.
| Header | Required | Description |
|---|---|---|
Content-Type: application/json | Yes | Other media types return 422. |
Accept: application/json | Recommended | Declares that the client expects a JSON response. |
Authorization | Yes | Bearer lev8_live_... — an active Lev8 API key with Enrich access. |
Idempotency-Key | No | Stable key for safely replaying the same logical request. Lev8 generates and returns one when omitted. |
| Field | Type | Required | Description |
|---|---|---|---|
entity_context | string | Yes | Context for the entity, such as name, website, social handles, or an existing description. Maximum 16 KiB after trimming. |
enrich_fields | object | Yes | Non-empty object JSON Schema describing the fields to generate. Maximum 256 KiB, 12 levels, and 200 properties. |
answer tries to match the requested enrich_fields schema.
{
"success": true,
"answer": {
"company_summary": "OpenAI is an AI research and product company.",
"ceo": "Sam Altman"
}
}