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GET
/
metadata-model-catalog
/
{model_id}
Python
from meibel import MeibelClient

client = MeibelClient(api_key="your-api-key")

result = client.metadata_model_catalog.get_entry("model_id_value")
print(result)
{
  "model_id": "<string>",
  "name": "<string>",
  "scope": "<string>",
  "fields": [
    {
      "name": "<string>",
      "type": "string",
      "description": "<string>",
      "index": true
    }
  ],
  "description": "<string>"
}

Documentation Index

Fetch the complete documentation index at: https://docs.meibel.ai/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Meibel-API-Key
string
header
required

Path Parameters

​
model_id
string
required

Response

Successful Response

A pre-built metadata extraction model from the catalog, selectable by model_id.

​
model_id
string
required

Stable ID used to reference this model when configuring a datasource

​
name
string
required

Human-readable model name

​
scope
string
required

Visibility of the model (e.g. 'global', 'customer', 'project')

​
fields
MetadataField · object[]
required

Field definitions this model extracts

​
description
string | null

What this model is designed to extract