---
title: "List enrichment models"
method: GET
path: "/table-enrichments/models/"
tags: ["table-enrichments"]
---

# List enrichment models

`GET /table-enrichments/models/`

## Request

- Base URL: `https://api.getoneprofile.ai` (the document declares no server; this is the origin it was published from)
- URL: `https://api.getoneprofile.ai/table-enrichments/models/`
- Auth: one of:
  - API key in header `X-API-Key`
  - HTTP bearer

The user-facing model catalog: named tiers with per-row credit costs, cheapest first. The default is marked.

## Response `200`

Successful Response

- EnrichmentModelCatalogResponseSchema: The user-facing model catalog, cheapest first.
  - `agent_tools` AgentToolAvailabilitySchema[]: The enrichment tools a research agent can be given, with whether each can be switched on for this organisation and which models afford it.
    - `available` boolean, required: Whether the tool's supplier is available to this organisation; switching the tool on is refused otherwise.
    - `key` string, required: The tool: 'find_work_email' or 'read_linkedin_profile'.
  - `models` EnrichmentModelSchema[], required
    - `best_for` string, required
    - `credits_per_row` number, required: The base: the most one row's AI work costs on this model, in decimal credits. A row is charged what it used, never more.
    - `description` string, required: One line: the speed/quality trade this tier makes.
    - `display_name` string, required
    - `is_default` boolean, required: Pre-selected when the column has no stored choice.
    - `is_variable_price` boolean, required: True marks token-billed models whose estimates are approximate.
    - `key` string, required: The catalog key stored on enrichment column definitions.
    - `lookup_credits_per_find` object, required: What each agent lookup adds to a row when it finds something, keyed 'find_work_email' / 'read_linkedin_profile', in decimal credits. A lookup that is switched on raises the row's maximum by its price; a miss is free.
    - `speed` string, required
    - `supported_actions` string[], required: The action keys that can run on this model; the picker filters on it and the save path rejects an undeclared pairing.
    - `web_research_credits_per_row` number, required: What turning web research on adds to a row's maximum, in decimal credits.
  - `second_check_share_without_history` number, required: For a column with its second check on (an enrichment with offers_second_check, settings.second_check true): the share of rows usually charged a second check, for a column with no history yet. Its 'usually about' figure is the action's credits_per_row times (1 + this share); its most is twice credits_per_row. A saved column reads its own usual_credits_per_row from the credit-rates route.
  - `usual_share_without_history` number, required: The share of its per-row maximum a Use AI row that researches (web research on, or a lookup it may buy) is usually charged, for a column with no charged history yet, such as a draft not saved. Multiply the draft's per-row maximum by it for its 'usually about' figure. A saved column reads its own from GET /tables/{table_id}/columns/credit-rates/ (usual_credits_per_row). 1.0 means no usual figure.
  - `usual_share_without_history_plain` number, required: The same share for a Use AI row that makes one plain model call: web research off and no lookup switched on. Such a row is charged far under its maximum, so a draft like that is quoted at this share, not usual_share_without_history. 1.0 means no usual figure.

## Other responses

- `401`: Unauthorized
- `403`: Forbidden
- `422`: Invalid request made to the API.
- `500`: Internal server error.
- `502`: Bad gateway error.
- `503`: Service unavailable.

---

[API](https://skmtc.dev/getoneprofile/apis/api-reference-oneprofile.md) · [All operations](https://skmtc.dev/getoneprofile/apis/api-reference-oneprofile/llms.txt) · [OpenAPI document](https://skmtc.dev/getoneprofile/apis/api-reference-oneprofile/revisions/4a6bd71e3f02?raw)