Databases (extracted tables)

The Databases tab of Apps: tables whose rows are extracted from documents by the data-extractor service (one row per source document), grouped into table databases. Requests are proxied to the extractor service; the API adds authentication and ownership checks.

Endpoints

Method	Path	Purpose
GET	`/microservices/data-extractor/tables`	List my tables
GET	`/microservices/data-extractor/table`	Fetch several tables
POST	`/microservices/data-extractor/create_table`	Create a table
PUT	`/microservices/data-extractor/update_table/{table_id}`	Update a table's schema
GET	`/microservices/data-extractor/table/{table_id}`	Get a table
DELETE	`/microservices/data-extractor/table/{table_id}`	Delete a table
PATCH	`/microservices/data-extractor/table/{table_id}/rows/{source_uid}`	Edit cells of one row
DELETE	`/microservices/data-extractor/table/{table_id}/rows/{source_uid}`	Delete a row
GET	`/microservices/data-extractor/table/{table_id}/export`	Export a table to Excel
GET	`/microservices/data-extractor/table/{table_id}/highlights`	Evidence highlights for extracted values
POST	`/microservices/data-extractor/chat`	Chat with a table (extractor service)
POST	`/microservices/agent/table-chat/`	Ask the assistant about a table
GET	`/microservices/data-extractor/tables_database`	List my table databases
POST	`/microservices/data-extractor/tables_database`	Create a table database
GET	`/microservices/data-extractor/tables_database/{db_id}`	Get a table database
PUT	`/microservices/data-extractor/tables_database/{db_id}`	Rename or re-order a table database
DELETE	`/microservices/data-extractor/tables_database/{db_id}`	Delete a table database

GET `/microservices/data-extractor/tables`

List my tables

Tables owned by the caller (scoped by the account's email). No trailing slash on this path.

Auth: Session token · In the app: Apps → Databases; Table builder gallery

Query parameters

Field	Type	Required	Description
`organization_name`	string	no

Response 200 — Tables (service response).

Field	Type	Description
`count`	integer	Number of tables returned.
`tables`	object[]
`tables[].table_id`	string
`tables[].table_name`	string
`tables[].email`	string	Owner (account email).
`tables[].organization_name`	string
`tables[].columns`	object[]
`tables[].columns[].name`	string	Column key (also the key of each row's `data`). Metacharacters are stripped.
`tables[].columns[].instruction`	string	What the extractor should pull from each document into this column.
`tables[].columns[].output_type`	string (`"string"`, `"number"`, `"list"`, `"boolean"`, `"object"`, `"reference"`)	Default: `"string"`.
`tables[].rows`	object[]
`tables[].rows[].source_uid`	string	Identity of the source (document uid or text input). Rows sharing a uid are addressed together.
`tables[].rows[].data`	object	Cell values keyed by column name.
`tables[].rows[].filename`	string
`tables[].rows[].created_at`	string (date-time)
`tables[].rows[].updated_at`	string (date-time)
`tables[].rows[].processed_at`	string (date-time), nullable
`tables[].metadata`	object	Free-form (e.g. `column_widths`).
`tables[].created_at`	string (date-time)
`tables[].updated_at`	string (date-time)

Response 403 — The account has no email address.

Response 503 — Extractor service not configured.

Example

bash

curl -X GET "https://api.example.com/microservices/data-extractor/tables" \
  -H "Authorization: Token $FINBLADE_TOKEN"

GET `/microservices/data-extractor/table`

Fetch several tables

Auth: Session token

Query parameters

Field	Type	Required	Description
`ids`	string	yes	Comma-separated table ids. All must be yours or shared with you.

Response 200 — Tables.

Field	Type	Description
`count`	integer
`tables`	object[]
`tables[].table_id`	string
`tables[].table_name`	string
`tables[].email`	string	Owner (account email).
`tables[].organization_name`	string
`tables[].columns`	object[]
`tables[].columns[].name`	string	Column key (also the key of each row's `data`). Metacharacters are stripped.
`tables[].columns[].instruction`	string	What the extractor should pull from each document into this column.
`tables[].columns[].output_type`	string (`"string"`, `"number"`, `"list"`, `"boolean"`, `"object"`, `"reference"`)	Default: `"string"`.
`tables[].rows`	object[]
`tables[].rows[].source_uid`	string	Identity of the source (document uid or text input). Rows sharing a uid are addressed together.
`tables[].rows[].data`	object	Cell values keyed by column name.
`tables[].rows[].filename`	string
`tables[].rows[].created_at`	string (date-time)
`tables[].rows[].updated_at`	string (date-time)
`tables[].rows[].processed_at`	string (date-time), nullable
`tables[].metadata`	object	Free-form (e.g. `column_widths`).
`tables[].created_at`	string (date-time)
`tables[].updated_at`	string (date-time)

Response 400 — ids missing.

Response 403 — One of the tables is not accessible.

Example

bash

curl -X GET "https://api.example.com/microservices/data-extractor/table?ids=tbl_9f8e7d6c%2Ctbl_1a2b3c4d" \
  -H "Authorization: Token $FINBLADE_TOKEN"

POST `/microservices/data-extractor/create_table`

Create a table

Defines the schema (and optionally seed rows). The owner and organisation are taken from the session. Column names are sanitised.

Auth: Session token · In the app: Table builder → Save table (new)

Request body (application/json)

Field	Type	Required	Description
`table_name`	string	yes
`columns`	object[]	yes
`columns[].name`	string	yes	Column key (also the key of each row's `data`). Metacharacters are stripped.
`columns[].instruction`	string	no	What the extractor should pull from each document into this column.
`columns[].output_type`	string (`"string"`, `"number"`, `"list"`, `"boolean"`, `"object"`, `"reference"`)	no	Default: `"string"`.
`rows`	object[]	no
`rows[].source_uid`	string	no	Identity of the source (document uid or text input). Rows sharing a uid are addressed together.
`rows[].data`	object	no	Cell values keyed by column name.
`rows[].filename`	string	no
`rows[].created_at`	string (date-time)	no
`rows[].updated_at`	string (date-time)	no
`rows[].processed_at`	string (date-time), nullable	no
`metadata`	object	no
`workflow_id`	string	no	Records which workflow created the table (for cascade deletes).

json

{
  "table_name": "Supplier invoices",
  "columns": [
    {
      "name": "supplier",
      "instruction": "The supplier's legal name.",
      "output_type": "string"
    },
    {
      "name": "invoice_total",
      "instruction": "Total payable as a number.",
      "output_type": "number"
    }
  ]
}

Response 200 — Created (service response; includes table_id).

Field	Type	Description
`table_id`	string

Response 502 — Extractor service error.

Example

bash

curl -X POST "https://api.example.com/microservices/data-extractor/create_table" \
  -H "Authorization: Token $FINBLADE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"table_name":"Supplier invoices","columns":[{"name":"supplier","instruction":"The supplier's legal name.","output_type":"string"},{"name":"invoice_total","instruction":"Total payable as a number.","output_type":"number"}]}'

PUT `/microservices/data-extractor/update_table/{table_id}`

Update a table's schema

Partial update of table_name, columns (full array replaces the schema) and metadata (merged). rows are ignored unless the body also carries replace_rows: true, in which case the array replaces every stored row ([] clears the table). Use the row endpoints for single-cell edits and row deletes. Requires write access (owner or editor grant).

Auth: Session token · In the app: Table builder → Save table; column resize

Path parameters

Field	Type	Required	Description
`table_id`	string	yes

Request body (application/json)

Field	Type	Required	Description
`table_name`	string	no
`columns`	object[]	no
`columns[].name`	string	yes	Column key (also the key of each row's `data`). Metacharacters are stripped.
`columns[].instruction`	string	no	What the extractor should pull from each document into this column.
`columns[].output_type`	string (`"string"`, `"number"`, `"list"`, `"boolean"`, `"object"`, `"reference"`)	no	Default: `"string"`.
`metadata`	object	no
`rows`	object[]	no
`rows[].source_uid`	string	no	Identity of the source (document uid or text input). Rows sharing a uid are addressed together.
`rows[].data`	object	no	Cell values keyed by column name.
`rows[].filename`	string	no
`rows[].created_at`	string (date-time)	no
`rows[].updated_at`	string (date-time)	no
`rows[].processed_at`	string (date-time), nullable	no
`replace_rows`	boolean	no	Default: `false`.

Response 200 — Result.

Field	Type	Description
`table_id`	string
`existing_rows`	integer
`columns_added`	string[]
`columns_removed`	string[]
`warning`	string

Response 403 — Read-only or no access.

Example

bash

curl -X PUT "https://api.example.com/microservices/data-extractor/update_table/tbl_9f8e7d6c" \
  -H "Authorization: Token $FINBLADE_TOKEN"

GET `/microservices/data-extractor/table/{table_id}`

Get a table

Auth: Session token · In the app: Apps → Databases → open table

Path parameters

Field	Type	Required	Description
`table_id`	string	yes

Response 200 — The table with its rows.

Field	Type	Description
`table_id`	string
`table_name`	string
`email`	string	Owner (account email).
`organization_name`	string
`columns`	object[]
`columns[].name`	string	Column key (also the key of each row's `data`). Metacharacters are stripped.
`columns[].instruction`	string	What the extractor should pull from each document into this column.
`columns[].output_type`	string (`"string"`, `"number"`, `"list"`, `"boolean"`, `"object"`, `"reference"`)	Default: `"string"`.
`rows`	object[]
`rows[].source_uid`	string	Identity of the source (document uid or text input). Rows sharing a uid are addressed together.
`rows[].data`	object	Cell values keyed by column name.
`rows[].filename`	string
`rows[].created_at`	string (date-time)
`rows[].updated_at`	string (date-time)
`rows[].processed_at`	string (date-time), nullable
`metadata`	object	Free-form (e.g. `column_widths`).
`created_at`	string (date-time)
`updated_at`	string (date-time)

json

{
  "table_id": "tbl_9f8e7d6c",
  "table_name": "Supplier invoices",
  "email": "jane@acme.com",
  "organization_name": "Acme",
  "columns": [
    {
      "name": "supplier",
      "instruction": "The supplier's legal name.",
      "output_type": "string"
    },
    {
      "name": "invoice_total",
      "instruction": "Total payable as a number.",
      "output_type": "number"
    }
  ],
  "rows": [
    {
      "source_uid": "1b6c1c1e-9d0a-4b6e-9f2a-3c4d5e6f7a8b",
      "filename": "invoice-1042.pdf",
      "data": {
        "supplier": "Globex",
        "invoice_total": 1250.5
      }
    }
  ],
  "metadata": {
    "column_widths": {
      "supplier": 220
    }
  },
  "created_at": "2026-09-01T09:00:00Z",
  "updated_at": "2026-09-22T08:05:41Z"
}

Response 403 — Not yours / not shared with you.

Response 404 — Unknown table.

Example

bash

curl -X GET "https://api.example.com/microservices/data-extractor/table/tbl_9f8e7d6c" \
  -H "Authorization: Token $FINBLADE_TOKEN"

DELETE `/microservices/data-extractor/table/{table_id}`

Delete a table

Owner only.

Auth: Session token

Path parameters

Field	Type	Required	Description
`table_id`	string	yes

Response 200 — Deleted (service response).

Example

bash

curl -X DELETE "https://api.example.com/microservices/data-extractor/table/<table_id>" \
  -H "Authorization: Token $FINBLADE_TOKEN"

PATCH `/microservices/data-extractor/table/{table_id}/rows/{source_uid}`

Edit cells of one row

Values are coerced to the column's output_type; machine-managed columns (processed_at, created_at, updated_at, filename) are refused; the edited cell's evidence highlight is dropped. All rows sharing the source_uid are affected.

Auth: Session token · In the app: Table cell edit; evidence viewer field edit

Path parameters

Field	Type	Required	Description
`table_id`	string	yes
`source_uid`	string	yes

Request body (application/json)

Field	Type	Required	Description
`data`	object	yes	Column → new value.

json

{
  "data": {
    "invoice_total": 1260
  }
}

Response 200 — Updated row (service response).

Response 403 — No write access.

Example

bash

curl -X PATCH "https://api.example.com/microservices/data-extractor/table/<table_id>/rows/<source_uid>" \
  -H "Authorization: Token $FINBLADE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"data":{"invoice_total":1260}}'

DELETE `/microservices/data-extractor/table/{table_id}/rows/{source_uid}`

Delete a row

Auth: Session token

Path parameters

Field	Type	Required	Description
`table_id`	string	yes
`source_uid`	string	yes

Response 200 — Deleted (service response).

Example

bash

curl -X DELETE "https://api.example.com/microservices/data-extractor/table/<table_id>/rows/<source_uid>" \
  -H "Authorization: Token $FINBLADE_TOKEN"

GET `/microservices/data-extractor/table/{table_id}/export`

Export a table to Excel

Writes the table to an .xlsx in your media storage and returns where it is — not the file itself. Download it from saved_path with a signed URL, as the app does.

Citation links. Reference cells link to the source PDFs. Inside the app those links are signed as you click them; in an exported file they would expire within the hour. With permanent_links=1 every such link is rewritten into a permanent link so it keeps opening after the file is shared.

Permanent links are public: anyone holding the file can open the linked PDFs without signing in, including people outside your organisation if it is forwarded. Only files you own are linked (refused counts the rest); links are reused across re-exports of the same table and stay revocable from My Data → Artifacts → Links, and die with the file. Signing is best effort — the export succeeds even when some links cannot be made.

Auth: Session token · In the app: Apps → Databases → Export to Excel

Path parameters

Field	Type	Required	Description
`table_id`	string	yes

Query parameters

Field	Type	Required	Description
`permanent_links`	boolean	no	Rewrite citation links into permanent public links. Accepts `1`, `true` or `yes`. Default: `false`.

Response 200 — Exported.

Field	Type	Description
`saved_path`	string	Media path of the workbook.
`filename`	string
`permanent_links`	object	Present only when `permanent_links` was requested.
`permanent_links.cells`	integer	Cells that contained a citation link.
`permanent_links.signed`	integer	Links rewritten to permanent links.
`permanent_links.refused`	integer	Links left as they were — typically files you don't own.

json

{
  "saved_path": "Acme/pdf_extracted/jane/invoices_2026-09-25.xlsx",
  "filename": "invoices_2026-09-25.xlsx",
  "permanent_links": {
    "cells": 214,
    "signed": 212,
    "refused": 2
  }
}

Response 404 — Not your table.

Response 503 — Extractor service not configured.

Example

bash

curl "https://api.example.com/microservices/data-extractor/table/tbl_9f8e7d6c/export?permanent_links=1"           -H "Authorization: Token $FINBLADE_TOKEN"

GET `/microservices/data-extractor/table/{table_id}/highlights`

Evidence highlights for extracted values

Where in the source document each value came from: per field, the verbatim quote and rectangles to draw over the rendered PDF (rect is [x0, y0, x1, y1] as fractions of the page from the top-left; page is 1-based). Empty lists are normal (older extractions, text inputs, non-PDF sources).

Auth: Session token · In the app: Evidence viewer

Path parameters

Field	Type	Required	Description
`table_id`	string	yes

Query parameters

Field	Type	Required	Description
`source_uid`	string	no	Limit to one source document.
`column_name`	string	no	Limit to one field.

Response 200 — Highlights.

Field	Type	Description
`success`	boolean
`result`	object
`result.table_id`	string
`result.source_uid`	string
`result.filename`	string
`result.file_path`	string
`result.file_url`	string
`result.highlights`	object[]
`result.highlights[].column_name`	string
`result.highlights[].value`	any
`result.highlights[].quote`	string
`result.highlights[].status`	string (`"anchored"`, `"unanchored"`, `"no_evidence"`)
`result.highlights[].spans`	object[]
`result.highlights[].spans[].page`	integer
`result.highlights[].spans[].rect`	number[]
`result.highlights[].page_width`	number
`result.highlights[].page_height`	number
`result.highlights[].score`	number
`result.highlights[].ambiguous`	boolean

json

{
  "success": true,
  "result": {
    "table_id": "tbl_9f8e7d6c",
    "source_uid": "1b6c1c1e-9d0a-4b6e-9f2a-3c4d5e6f7a8b",
    "filename": "invoice-1042.pdf",
    "file_path": "/media/Acme/semantic-search/jane/invoice-1042.pdf",
    "file_url": "https://api.example.com/media/Acme/semantic-search/jane/invoice-1042.pdf",
    "highlights": [
      {
        "column_name": "invoice_total",
        "value": 1250.5,
        "quote": "Total due: 1,250.50 SAR",
        "status": "anchored",
        "spans": [
          {
            "page": 1,
            "rect": [
              0.62,
              0.71,
              0.88,
              0.73
            ]
          }
        ],
        "page_width": 612,
        "page_height": 792,
        "score": 0.98,
        "ambiguous": false
      }
    ]
  }
}

Response 403 — Not your table.

Example

bash

curl -X GET "https://api.example.com/microservices/data-extractor/table/<table_id>/highlights" \
  -H "Authorization: Token $FINBLADE_TOKEN"

POST `/microservices/data-extractor/chat`

Chat with a table (extractor service)

Direct question-answering over one table by the extractor service (streamed when the service streams). The app now uses POST /microservices/agent/table-chat/ instead.

Auth: Session token

Request body (application/json)

Field	Type	Required	Description
`table_id`	string	no
`params`	object	no	Service parameters (`query`, …).

Response 200 — Streamed or JSON answer.

Example

bash

curl -X POST "https://api.example.com/microservices/data-extractor/chat" \
  -H "Authorization: Token $FINBLADE_TOKEN"

POST `/microservices/agent/table-chat/`

Ask the assistant about a table

The same contract as POST /microservices/agent/chat/ (see Chat AI), bound to one extracted table: table_id is required and authorised (owner or granted), the skill is pinned to the table desk, and the agent can only read and edit that table. Use a fresh conversation_id per table.

Auth: Session token · In the app: Apps → Databases → table → Chat

Query parameters

Field	Type	Required	Description
`timeout`	integer	no	Default: `600`.

Request body (application/json)

Field	Type	Required
`conversation_id`	string	yes
`message`	string	yes
`table_id`	string	yes
`chat_session_id`	integer	no
`reasoning_effort`	string	no

json

{
  "conversation_id": "4d3c2b1a-9e8f-4a7b-8c6d-5e4f3a2b1c0d",
  "message": "Which supplier has the highest total this month?",
  "table_id": "tbl_9f8e7d6c"
}

Response 200 — The agent's reply (see AgentChatReply).

Field	Type	Description
`status`	string	`completed` — `answer` holds the reply. `queued` — the turn is queued behind another one; the reply will arrive on the `ws/chat/{conversation_id}` socket. `missing_param`, `clarification`, `interrupted` — the agent needs input; the question is in `message`.
`answer`	string	The reply (Markdown).
`message`	string	The agent's question when it needs input.
`turn_id`	string
`queue_position`	integer
`mgid`	string	Present when the turn produced a dashboard chart (fetch it with `GET /microservices/dashboard-data/?mgid=`).
`dashboard_id`	string	Present when the turn published a Studio artifact.
`generated_files_urls`	string[]	Media URLs of files the turn produced (documents, images). Sign them to download.

json

{
  "status": "completed",
  "turn_id": "7c1f0c1e-2b8f-4a6e-9c0a-1e4b6f2d3a55",
  "answer": "Q3 revenue grew **12.4% year over year**, driven by the enterprise segment (+19%) …\n",
  "generated_files_urls": []
}

Response 400 — table_id missing.

Response 403 — No access to the table.

Example

bash

curl -X POST "https://api.example.com/microservices/agent/table-chat/" \
  -H "Authorization: Token $FINBLADE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"conversation_id":"4d3c2b1a-9e8f-4a7b-8c6d-5e4f3a2b1c0d","message":"Which supplier has the highest total this month?","table_id":"tbl_9f8e7d6c"}'

GET `/microservices/data-extractor/tables_database`

List my table databases

Auth: Session token · In the app: Apps → Databases

Query parameters

Field	Type	Required	Description
`organization_name`	string	no

Response 200 — Databases (service response).

Field	Type	Description
`count`	integer	Number of databases returned.
`tables_databases`	object[]
`tables_databases[].tables_database_id`	string
`tables_databases[].name`	string
`tables_databases[].email`	string
`tables_databases[].organization_name`	string
`tables_databases[].table_ids`	string[]
`tables_databases[].tables_count`	integer
`tables_databases[].created_at`	string (date-time)
`tables_databases[].updated_at`	string (date-time)

Example

bash

curl -X GET "https://api.example.com/microservices/data-extractor/tables_database" \
  -H "Authorization: Token $FINBLADE_TOKEN"

POST `/microservices/data-extractor/tables_database`

Create a table database

Auth: Session token

Request body (application/json)

Field	Type	Required	Description
`name`	string	yes
`table_ids`	string[]	no

json

{
  "name": "Finance",
  "table_ids": [
    "tbl_9f8e7d6c"
  ]
}

Response 200 — Created (service response with tables_database_id).

Field	Type	Description
`tables_database_id`	string
`name`	string
`email`	string
`organization_name`	string
`table_ids`	string[]
`tables_count`	integer
`created_at`	string (date-time)
`updated_at`	string (date-time)

json

{
  "tables_database_id": "db_3c2b1a",
  "name": "Finance",
  "email": "jane@acme.com",
  "organization_name": "Acme",
  "table_ids": [
    "tbl_9f8e7d6c"
  ],
  "tables_count": 1,
  "created_at": "2026-09-02T09:00:00Z",
  "updated_at": "2026-09-22T08:05:41Z"
}

Example

bash

curl -X POST "https://api.example.com/microservices/data-extractor/tables_database" \
  -H "Authorization: Token $FINBLADE_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"name":"Finance","table_ids":["tbl_9f8e7d6c"]}'

GET `/microservices/data-extractor/tables_database/{db_id}`

Get a table database

Auth: Session token

Path parameters

Field	Type	Required	Description
`db_id`	string	yes

Response 200 — The database.

Field	Type	Description
`tables_database_id`	string
`name`	string
`email`	string
`organization_name`	string
`table_ids`	string[]
`tables_count`	integer
`created_at`	string (date-time)
`updated_at`	string (date-time)

json

{
  "tables_database_id": "db_3c2b1a",
  "name": "Finance",
  "email": "jane@acme.com",
  "organization_name": "Acme",
  "table_ids": [
    "tbl_9f8e7d6c"
  ],
  "tables_count": 1,
  "created_at": "2026-09-02T09:00:00Z",
  "updated_at": "2026-09-22T08:05:41Z"
}

Response 403 — Not yours.

Example

bash

curl -X GET "https://api.example.com/microservices/data-extractor/tables_database/<db_id>" \
  -H "Authorization: Token $FINBLADE_TOKEN"

PUT `/microservices/data-extractor/tables_database/{db_id}`

Rename or re-order a table database

Auth: Session token

Path parameters

Field	Type	Required	Description
`db_id`	string	yes

Request body (application/json)

Field	Type	Required	Description
`name`	string	no
`table_ids`	string[]	no

Response 200 — Updated.

Example

bash

curl -X PUT "https://api.example.com/microservices/data-extractor/tables_database/<db_id>" \
  -H "Authorization: Token $FINBLADE_TOKEN"

DELETE `/microservices/data-extractor/tables_database/{db_id}`

Delete a table database

Deletes the grouping, not the tables.

Auth: Session token

Path parameters

Field	Type	Required	Description
`db_id`	string	yes

Response 200 — Deleted.

Example

bash

curl -X DELETE "https://api.example.com/microservices/data-extractor/tables_database/<db_id>" \
  -H "Authorization: Token $FINBLADE_TOKEN"

Databases (extracted tables) ​

Endpoints ​

GET /microservices/data-extractor/tables ​

GET /microservices/data-extractor/table ​

POST /microservices/data-extractor/create_table ​

PUT /microservices/data-extractor/update_table/{table_id} ​

GET /microservices/data-extractor/table/{table_id} ​

DELETE /microservices/data-extractor/table/{table_id} ​

PATCH /microservices/data-extractor/table/{table_id}/rows/{source_uid} ​

DELETE /microservices/data-extractor/table/{table_id}/rows/{source_uid} ​

GET /microservices/data-extractor/table/{table_id}/export ​

GET /microservices/data-extractor/table/{table_id}/highlights ​

POST /microservices/data-extractor/chat ​

POST /microservices/agent/table-chat/ ​

GET /microservices/data-extractor/tables_database ​

POST /microservices/data-extractor/tables_database ​

GET /microservices/data-extractor/tables_database/{db_id} ​

PUT /microservices/data-extractor/tables_database/{db_id} ​

DELETE /microservices/data-extractor/tables_database/{db_id} ​

Databases (extracted tables)

Endpoints

GET `/microservices/data-extractor/tables`

GET `/microservices/data-extractor/table`

POST `/microservices/data-extractor/create_table`

PUT `/microservices/data-extractor/update_table/{table_id}`

GET `/microservices/data-extractor/table/{table_id}`

DELETE `/microservices/data-extractor/table/{table_id}`

PATCH `/microservices/data-extractor/table/{table_id}/rows/{source_uid}`

DELETE `/microservices/data-extractor/table/{table_id}/rows/{source_uid}`

GET `/microservices/data-extractor/table/{table_id}/export`

GET `/microservices/data-extractor/table/{table_id}/highlights`

POST `/microservices/data-extractor/chat`

POST `/microservices/agent/table-chat/`

GET `/microservices/data-extractor/tables_database`

POST `/microservices/data-extractor/tables_database`

GET `/microservices/data-extractor/tables_database/{db_id}`

PUT `/microservices/data-extractor/tables_database/{db_id}`

DELETE `/microservices/data-extractor/tables_database/{db_id}`