Resolve a Delta metadata UUID to a fully-qualified table name
Looks up a table by its stable Delta protocol `metaData.id` UUID. This UUID survives rename and move operations, making it ideal for shareable table links. **Required scope:** `tables:read`
Authorization
BearerAuth Security scheme for OpenAPI endpoints. Validates both JWT tokens and API keys.
In: header
Response Body
application/json
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curl -X GET "https://example.com/v1/tables/resolve/{table_id}"{ "catalog": "string", "schema": "string", "table": "string"}{ "code": "string", "message": "string", "request_id": "string", "details": [ { "field": "string", "message": "string" } ]}{ "code": "string", "message": "string", "request_id": "string", "details": [ { "field": "string", "message": "string" } ]}{ "code": "string", "message": "string", "request_id": "string", "details": [ { "field": "string", "message": "string" } ]}{ "code": "string", "message": "string", "request_id": "string", "details": [ { "field": "string", "message": "string" } ]}{ "code": "string", "message": "string", "request_id": "string", "details": [ { "field": "string", "message": "string" } ]}{ "code": "string", "message": "string", "request_id": "string", "details": [ { "field": "string", "message": "string" } ]}{ "code": "string", "message": "string", "request_id": "string", "details": [ { "field": "string", "message": "string" } ]}{ "code": "string", "message": "string", "request_id": "string", "details": [ { "field": "string", "message": "string" } ]}{ "code": "string", "message": "string", "request_id": "string", "details": [ { "field": "string", "message": "string" } ]}Infer schema from a CSV file
Uploads a CSV file and returns the inferred Arrow schema, detected domain-eligible fields (columns with a small set of distinct values), and the row count. Use this before `CreateTable` to preview and adjust the schema. **Required scope:** `tables:modify`
Execute LLM-powered analysis actions on your table data.
# Arguments * `action` - The analysis operation to perform * `model` - The LLM to use for processing # Actions | Action | Description | |--------|-------------| | `summary` | Generate a natural language summary of the table contents | | `detect_anomalies` | Identify inconsistencies, outliers, and data quality issues | | `find_duplicates` | Detect potential duplicate or near-duplicate records | | `fix_nulls` | Detect null values and suggest replacements | | `explain_rows` | Explain selected rows with tagged cell references (see dedicated endpoint) | # Supported Models **Claude (Anthropic)** | Model | Best For | |-------|----------| | `claude-opus-4-8` | Most capable; complex reasoning tasks | | `claude-sonnet-4-6` | Balanced performance and quality (default) | | `claude-opus-4-6` | Previous-generation complex reasoning | | `claude-haiku-4-5` | Fast, cost-effective analysis | | `claude-sonnet-4-5` | Previous generation balanced | | `claude-opus-4-5` | Previous generation complex reasoning | **GPT (OpenAI)** | Model | Best For | |-------|----------| | `gpt-5.2` | General-purpose analysis | | `gpt-5.2-chat-latest` | Latest optimizations | | `gpt-5.2-pro` | Advanced reasoning tasks | **Gemini** | Model | Best For | |-------|----------| | `gemini-3.1-pro-preview` | Latest model for complex tasks | | `gemini-3-pro-preview` | State-of-the-art reasoning | | `gemini-3-flash-preview` | Frontier balanced model for speed and scale | | `gemini-2.5-pro` | Powerful reasoning model for complex tasks | | `gemini-2.5-flash` | Balanced model with a 1 million context window | | `gemini-2.5-flash-lite` | Fastest and most cost-efficient model |