---
title: "Query a listing's row IDs"
method: POST
path: "/tables/{table_id}/rows/ids/"
tags: ["table-rows"]
---

# Query a listing's row IDs

`POST /tables/{table_id}/rows/ids/`

## 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/tables/{table_id}/rows/ids/`
- Auth: one of:
  - API key in header `X-API-Key`
  - HTTP bearer

Get the record IDs a listing selects, in order, carrying NO cell data.

Takes the same `sorts`, `where` and `row_status` vocabulary as the rows query and answers only the membership-and-order half of it. Pages are correspondingly large (the default is 10,000 IDs) because a page of IDs is a fraction of the size of a page of rows.

Pair it with the rows query's `record_ids` mode: fetch an ordering once, then hydrate contents a window at a time. A client holding both can re-sort or re-filter by refetching only the ordering, and reuse every cell it already has.

A POST for the same reason the rows query is one: a filter list has no honest query-string encoding.

## Path parameters

- `table_id` string, uuid, required

## Request body

- TableRowIdsQueryRequestSchema: Request body for the row-ID manifest. The same listing vocabulary as the rows query, minus the projection: this asks which rows a listing selects and in what order, not what is in them. Answering it reads no cell payload, so a client can hold a whole table's ordering cheaply and then hydrate only the window it is showing.
  - `cursor` string, nullable: Opaque cursor from a previous page's next_cursor.
  - `limit` integer: Maximum record IDs per page. Far higher than the rows query's limit because a page of IDs carries no cells.
  - `offset` integer, nullable: Start the listing this many rows in. Mutually exclusive with `cursor`.
  - `row_status` 'errored' | 'fully_computed': A row-level state, derived from its cells rather than stored. ``ERRORED`` is "any cell of this row failed to compute"; ``FULLY_COMPUTED`` is its exact complement, so the two partition the table. Serves the built-in smart views, which are questions about computation rather than about values. The ordinary filter vocabulary cannot express either.
  - `sorts` TableRowSortSchema[]: Order by these columns, in priority order, instead of display order.
    - `column_id` union, required: A column ID, or `__created_at__` / `__updated_at__` to order by when the row was added or last edited.
      - string, uuid
      - '__created_at__' | '__updated_at__': The sort keys that order by the ROW rather than by one column's cells. ``CREATED_AT`` is when the row was added; ``UPDATED_AT`` is when any of its cells last changed (the row was added, for one with no cells). They share the sort slot with column IDs, so a query or a saved view names either the same way; the dunder spelling keeps them apart from any UUID.
    - `direction` 'asc' | 'desc': Which way a sorted row listing runs.
  - `where` TableRowsWhereSchemaInput: The whole predicate for a rows query. ``items`` mixes conditions with groups under one joiner, so ``A and (B or C)`` is an AND over ``[A, group(OR, [B, C])]``. Send no ``where`` at all rather than an empty one, so "no filter" stays a single state. The cap is on LEAVES, not on items: eight conditions cost eight correlated EXISTS clauses whether they are grouped or not, and it is the clause count that the query planner pays for.
    - `items` TableRowWhereItemSchemaInput[], required: Conditions and groups.
      - union
        - TableRowFilterSchemaInput: One predicate a row must satisfy. Which operators apply depends on the column's type: a range comparison on a checkbox is rejected rather than silently matching nothing. The valueless operators (``is_empty``, ``is_not_empty``, ``is_true``, ``is_false``) must not carry a value.
          - `column_id` union, required: A column ID, or `__any_column__` to ask about every cell in the row at once. `__any_column__` takes only `has_error` and `has_no_error`.
            - string, uuid
            - '__any_column__' | '__record_id__': The filter targets that name the whole ROW rather than one column. ``ANY_COLUMN`` asks a question of every cell in the row at once: "does any column have an error?" is the table-wide half of the per-column ``has_error``. It stands in the ``column_id`` slot of an ordinary condition (the same trick the system sort keys use), so a row-wide question travels through every surface that already carries a predicate tree (a saved view, a run's scope, an export, a count) with nothing to add to any of them. The dunder spelling keeps it apart from any UUID.
          - `operator` 'eq' | 'neq' | 'gt' | 'gte' | 'lt' | 'lte' | 'contains' | 'not_contains' | 'contains_any_of' | 'not_contains_any_of' | 'starts_with' | 'is_true' | 'is_false' | 'is_empty' | 'is_not_empty' | 'has_error' | 'has_no_error' | 'has_results' | 'has_no_results' | 'has_not_run' | 'is_stale' | 'is_not_stale' | 'run_condition_not_met' | 'run_stopped', required: A row filter predicate. Which operators are legal depends on the column's data type; the service validates the pairing and rejects a mismatch, so an operator here is a vocabulary entry rather than a promise it applies everywhere. Two families live here. The VALUE operators ask about what a cell holds and are keyed off the column's storage slot. The STATE operators ask about what the last run DID to the cell (errored, skipped, never ran, went stale) and are keyed off the column's kind instead: they read the compute metadata that only a computed column ever writes, and mean nothing on a hand-typed one.
          - `type` 'condition'
          - `value` union
            - string
            - integer
            - number
            - boolean
            - string, date-time
            - string, date
            - CellValueInput[]
            - object
        - TableRowFilterGroupSchemaInput: A parenthesised run of conditions, joined among themselves. Holds conditions and never groups: one level of nesting is expressible and a second is not, structurally. That covers ``A and (B or C)`` (what a filter panel offers) while keeping the SQL a flat walk.
          - `conditions` TableRowFilterSchemaInput[], required: The conditions inside the parentheses.
            - `column_id` union, required: A column ID, or `__any_column__` to ask about every cell in the row at once. `__any_column__` takes only `has_error` and `has_no_error`.
              - …
            - `operator` 'eq' | 'neq' | 'gt' | 'gte' | 'lt' | 'lte' | 'contains' | 'not_contains' | 'contains_any_of' | 'not_contains_any_of' | 'starts_with' | 'is_true' | 'is_false' | 'is_empty' | 'is_not_empty' | 'has_error' | 'has_no_error' | 'has_results' | 'has_no_results' | 'has_not_run' | 'is_stale' | 'is_not_stale' | 'run_condition_not_met' | 'run_stopped', required: A row filter predicate. Which operators are legal depends on the column's data type; the service validates the pairing and rejects a mismatch, so an operator here is a vocabulary entry rather than a promise it applies everywhere. Two families live here. The VALUE operators ask about what a cell holds and are keyed off the column's storage slot. The STATE operators ask about what the last run DID to the cell (errored, skipped, never ran, went stale) and are keyed off the column's kind instead: they read the compute metadata that only a computed column ever writes, and mean nothing on a hand-typed one.
            - `type` 'condition'
            - `value` union
              - …
          - `joiner` 'and' | 'or': How the members of one filter level combine.
          - `type` 'group'
    - `joiner` 'and' | 'or': How the members of one filter level combine.

## Response `200`

Successful Response

- TableRowIdsPageSchema: One keyset page of a listing's record IDs, in order.
  - `has_more` boolean, required
  - `limit` integer, required
  - `next_cursor` string, nullable, required: Cursor for the next page; None when this is the last page.
  - `record_ids` string[], required

## Other responses

- `401`: Unauthorized
- `403`: Forbidden
- `404`: Table not found
- `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)
