API Reference

Evaluation Dashboards

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List Evaluation Dashboards

GET/v5/evaluation-dashboards

List dashboards in the caller’s account, paginated, with optional filters.

Filter to a single evaluation with evaluation_id or to a group with evaluation_group_id; passing both is rejected, since a dashboard is bound to one or the other. tags matches case-insensitively (values are lowercased before lookup), created_by_ids filters by creator identity, and search matches the dashboard name and tags. Archived dashboards are excluded unless include_archived is true. The returned items carry only the dashboards’ own fields — widgets and widget results are never embedded here; use the get-by-id endpoint with the widgets/widget_results views to load those.

Query ParametersExpand Collapse

created_by_ids: optional array of string

Filter by creator user IDs

ending_before: optional string

evaluation_group_id: optional string

evaluation_id: optional string

include_archived: optional boolean

limit: optional number

maximum10000

minimum1

search: optional string

Search in name and tags

sort_by: optional string

sort_order: optional SortOrder

One of the following:

"asc"

"desc"

starting_after: optional string

tags: optional array of string

Filter by tags (case-insensitive)

ReturnsExpand Collapse

has_more: boolean

Whether there are more items left to be fetched.

items: array of EvaluationDashboard { id, account_id, created_at, 13 more }

id: string

Unique identifier of the dashboard

account_id: string

Account that owns this dashboard

created_at: string

When the dashboard was created

formatdate-time

created_by: Identity { id, type, object }

The identity that created the entity.

id: string

type: "user" or "service_account"

One of the following:

"user"

"service_account"

object: optional "identity"

name: string

Dashboard name

tags: array of string

The tags associated with the entity

updated_at: string

When the dashboard was last updated

formatdate-time

archived_at: optional string

When the dashboard was archived (soft-deleted)

formatdate-time

description: optional string

Dashboard description

error_message: optional string

Error message if computation failed

evaluation_group_id: optional string

Evaluation group ID

evaluation_id: optional string

Evaluation ID

object: optional "evaluation_dashboard"

widget_order: optional array of string

Ordered array of widget IDs

widget_results: optional array of EvaluationDashboardWidgetResult { id, account_id, computation_status, 10 more }

Widget results for this dashboard. Populated with ‘widget_results’ view.

id: string

Unique identifier of the widget result

account_id: string

Account that owns this widget result

computation_status: "pending" or "completed" or "failed"

Status of the computation

One of the following:

"pending"

"completed"

"failed"

created_at: string

When the widget result was created

formatdate-time

widget_id: string

Unique identifier of the widget

computation_job_id: optional string

Temporal workflow ID or job ID for async computation tracking

computed_at: optional string

Timestamp when computation completed successfully

formatdate-time

computed_result: optional map[unknown]

Cached computation results

error_message: optional string

Error message if computation failed

evaluation_group_id: optional string

FK to evaluation_groups. Null if result is for a single evaluation.

evaluation_id: optional string

FK to evaluations. Null if result is for an evaluation group.

object: optional "evaluation_dashboard_widget_result"

widget: optional EvaluationDashboardWidget { id, account_id, created_at, 6 more }

Widget that this result is for

id: string

Unique identifier of the widget

account_id: string

Account that owns this widget

created_at: string

When the widget was created

formatdate-time

title: string

Widget title

type: EvaluationWidgetTypeEnum

Widget type

One of the following:

"bar"

"histogram"

"donut"

"scatter"

"metric"

"table"

"markdown"

"heading"

"timeseries"

archived_at: optional string

When the widget was archived (soft-deleted)

formatdate-time

config: optional map[unknown]

Chart-specific display configuration

object: optional "evaluation_dashboard_widget"

query: optional SeriesQuery { select, evaluation_ids, filter, 4 more } or MetricQuery { select, evaluation_ids, filter, latest_only }

Structured query AST for metric computation (SeriesQuery or MetricQuery)

One of the following:

SeriesQuery object { select, evaluation_ids, filter, 4 more }

Query that returns a series of records (used for table/bar/histogram/donut/scatter widgets).

Used for widget types: table, bar, histogram, donut, scatter. Returns: {“type”: “series”, “data”: […]}

Example SQL equivalent: SELECT category, AVG(score) as avg_score, COUNT(*) as count FROM evaluation_items WHERE score > 0.5 AND category = ‘test’ GROUP BY category ORDER BY avg_score DESC LIMIT 100

select: array of SelectItem { expression, alias }

expression: object { column, source, type } or object { column, function, evaluation_ids, 3 more }

Reference to a column from evaluation_items.data

Example: {“type”: “COLUMN”, “column”: “category”}

One of the following:

Column object { column, source, type }

Reference to a column from evaluation_items.data

Example: {“type”: “COLUMN”, “column”: “category”}

column: string

Column name from evaluation_items.data

source: optional string

Column source: ‘data’ or ‘task_result_cache’

type: optional "COLUMN"

Aggregation object { column, function, evaluation_ids, 3 more }

Aggregation function to apply

Examples: {“type”: “AGGREGATION”, “function”: “AVG”, “column”: “score”} {“type”: “AGGREGATION”, “function”: “COUNT”, “column”: ”*”} {“type”: “AGGREGATION”, “function”: “PERCENTILE”, “column”: “score”, “params”: {“percentile”: 95}}

column: string

Column to aggregate, or '' for COUNT()

function: "COUNT" or "SUM" or "AVG" or 7 more

Supported aggregation functions

One of the following:

"COUNT"

"SUM"

"AVG"

"MIN"

"MAX"

"STDDEV"

"VARIANCE"

"PERCENTILE"

"COUNT_DISTINCT"

"PERCENTAGE"

evaluation_ids: optional array of string

Optional subset of evaluation IDs for per-aggregation filtering in evaluation group dashboards.

params: optional map[unknown]

Function parameters (e.g., {‘percentile’: 95} for PERCENTILE, {‘percentage_filters’: Filter} for PERCENTAGE)

source: optional string

Column source: ‘data’ or ‘task_result_cache’

type: optional "AGGREGATION"

alias: optional string

Optional alias for the selected item

evaluation_ids: optional array of string

Optional subset of evaluation IDs to compute on. Only applicable for evaluation group dashboards. If omitted, computes on all evaluations in the group.

filter: optional Filter { conditions, logicalOperators }

Filter conditions (WHERE clause)

conditions: array of object { column, operator, source, value }

column: string

Column name to filter on

operator: "=" or "!=" or ">" or 9 more

Comparison operator

One of the following:

"="

"!="

">"

"<"

">="

"<="

"IN"

"NOT IN"

"LIKE"

"NOT LIKE"

"IS NULL"

"IS NOT NULL"

source: optional string

Column source: ‘data’ or ‘task_result_cache’

value: optional string or number or boolean or array of unknown

Value to compare against. Not required for IS NULL / IS NOT NULL operators.

One of the following:

string

number

boolean

array of unknown

logicalOperators: optional array of "AND" or "OR"

Logical operators connecting conditions. Length must be len(conditions) - 1

One of the following:

"AND"

"OR"

groupBy: optional array of string

Columns to group by

latest_only: optional boolean

When True, the widget computes against rows from only the most recent active evaluation in the group (by EvaluationORM.created_at). Only applicable for evaluation group dashboards. Composes with evaluation_ids (latest within the subset). Cannot be combined with per-aggregation evaluation_ids; the use case enforces these rules.

limit: optional number

Max rows to return

minimum1

orderBy: optional array of object { column, direction, source }

Sort order

column: string

Column name to sort by

direction: optional "ASC" or "DESC"

Sort direction

One of the following:

"ASC"

"DESC"

source: optional string

Column source: ‘data’ or ‘task_result_cache’

MetricQuery object { select, evaluation_ids, filter, latest_only }

Query that returns a single metric value (used for metric widgets).

Used for widget type: metric. Enforces exactly 1 aggregation in select. Returns: {“type”: “metric”, “data”: …}

Example SQL equivalent: SELECT AVG(score) as average_score FROM evaluation_items

select: array of SelectItem { expression, alias }

expression: object { column, source, type } or object { column, function, evaluation_ids, 3 more }

Reference to a column from evaluation_items.data

Example: {“type”: “COLUMN”, “column”: “category”}

One of the following:

Column object { column, source, type }

Reference to a column from evaluation_items.data

Example: {“type”: “COLUMN”, “column”: “category”}

column: string

Column name from evaluation_items.data

source: optional string

Column source: ‘data’ or ‘task_result_cache’

type: optional "COLUMN"

Aggregation object { column, function, evaluation_ids, 3 more }

Aggregation function to apply

Examples: {“type”: “AGGREGATION”, “function”: “AVG”, “column”: “score”} {“type”: “AGGREGATION”, “function”: “COUNT”, “column”: ”*”} {“type”: “AGGREGATION”, “function”: “PERCENTILE”, “column”: “score”, “params”: {“percentile”: 95}}

column: string

Column to aggregate, or '' for COUNT()

function: "COUNT" or "SUM" or "AVG" or 7 more

Supported aggregation functions

One of the following:

"COUNT"

"SUM"

"AVG"

"MIN"

"MAX"

"STDDEV"

"VARIANCE"

"PERCENTILE"

"COUNT_DISTINCT"

"PERCENTAGE"

evaluation_ids: optional array of string

Optional subset of evaluation IDs for per-aggregation filtering in evaluation group dashboards.

params: optional map[unknown]

Function parameters (e.g., {‘percentile’: 95} for PERCENTILE, {‘percentage_filters’: Filter} for PERCENTAGE)

source: optional string

Column source: ‘data’ or ‘task_result_cache’

type: optional "AGGREGATION"

alias: optional string

Optional alias for the selected item

evaluation_ids: optional array of string

Optional subset of evaluation IDs to compute on. Only applicable for evaluation group dashboards. If omitted, computes on all evaluations in the group.

filter: optional Filter { conditions, logicalOperators }

Filter conditions (WHERE clause)

conditions: array of object { column, operator, source, value }

column: string

Column name to filter on

operator: "=" or "!=" or ">" or 9 more

Comparison operator

One of the following:

"="

"!="

">"

"<"

">="

"<="

"IN"

"NOT IN"

"LIKE"

"NOT LIKE"

"IS NULL"

"IS NOT NULL"

source: optional string

Column source: ‘data’ or ‘task_result_cache’

value: optional string or number or boolean or array of unknown

Value to compare against. Not required for IS NULL / IS NOT NULL operators.

One of the following:

string

number

boolean

array of unknown

logicalOperators: optional array of "AND" or "OR"

Logical operators connecting conditions. Length must be len(conditions) - 1

One of the following:

"AND"

"OR"

latest_only: optional boolean

When True, the widget computes against rows from only the most recent active evaluation in the group (by EvaluationORM.created_at). Only applicable for evaluation group dashboards. Composes with evaluation_ids (latest within the subset). Cannot be combined with per-aggregation evaluation_ids; the use case enforces these rules.

widgets: optional array of EvaluationDashboardWidget { id, account_id, created_at, 6 more }

Widgets associated with this dashboard. Populated with ‘widgets’ view.

id: string

Unique identifier of the widget

account_id: string

Account that owns this widget

created_at: string

When the widget was created

formatdate-time

title: string

Widget title

type: EvaluationWidgetTypeEnum

Widget type

One of the following:

"bar"

"histogram"

"donut"

"scatter"

"metric"

"table"

"markdown"

"heading"

"timeseries"

archived_at: optional string

When the widget was archived (soft-deleted)

formatdate-time

config: optional map[unknown]

Chart-specific display configuration

object: optional "evaluation_dashboard_widget"

query: optional SeriesQuery { select, evaluation_ids, filter, 4 more } or MetricQuery { select, evaluation_ids, filter, latest_only }

Structured query AST for metric computation (SeriesQuery or MetricQuery)

One of the following:

SeriesQuery object { select, evaluation_ids, filter, 4 more }

Query that returns a series of records (used for table/bar/histogram/donut/scatter widgets).

Used for widget types: table, bar, histogram, donut, scatter. Returns: {“type”: “series”, “data”: […]}

Example SQL equivalent: SELECT category, AVG(score) as avg_score, COUNT(*) as count FROM evaluation_items WHERE score > 0.5 AND category = ‘test’ GROUP BY category ORDER BY avg_score DESC LIMIT 100

select: array of SelectItem { expression, alias }

expression: object { column, source, type } or object { column, function, evaluation_ids, 3 more }

Reference to a column from evaluation_items.data

Example: {“type”: “COLUMN”, “column”: “category”}

One of the following:

Column object { column, source, type }

Reference to a column from evaluation_items.data

Example: {“type”: “COLUMN”, “column”: “category”}

column: string

Column name from evaluation_items.data

source: optional string

Column source: ‘data’ or ‘task_result_cache’

type: optional "COLUMN"

Aggregation object { column, function, evaluation_ids, 3 more }

Aggregation function to apply

Examples: {“type”: “AGGREGATION”, “function”: “AVG”, “column”: “score”} {“type”: “AGGREGATION”, “function”: “COUNT”, “column”: ”*”} {“type”: “AGGREGATION”, “function”: “PERCENTILE”, “column”: “score”, “params”: {“percentile”: 95}}

column: string

Column to aggregate, or '' for COUNT()

function: "COUNT" or "SUM" or "AVG" or 7 more

Supported aggregation functions

One of the following:

"COUNT"

"SUM"

"AVG"

"MIN"

"MAX"

"STDDEV"

"VARIANCE"

"PERCENTILE"

"COUNT_DISTINCT"

"PERCENTAGE"

evaluation_ids: optional array of string

Optional subset of evaluation IDs for per-aggregation filtering in evaluation group dashboards.

params: optional map[unknown]

Function parameters (e.g., {‘percentile’: 95} for PERCENTILE, {‘percentage_filters’: Filter} for PERCENTAGE)

source: optional string

Column source: ‘data’ or ‘task_result_cache’

type: optional "AGGREGATION"

alias: optional string

Optional alias for the selected item

evaluation_ids: optional array of string

Optional subset of evaluation IDs to compute on. Only applicable for evaluation group dashboards. If omitted, computes on all evaluations in the group.

filter: optional Filter { conditions, logicalOperators }

Filter conditions (WHERE clause)

conditions: array of object { column, operator, source, value }

column: string

Column name to filter on

operator: "=" or "!=" or ">" or 9 more

Comparison operator

One of the following:

"="

"!="

">"

"<"

">="

"<="

"IN"

"NOT IN"

"LIKE"

"NOT LIKE"

"IS NULL"

"IS NOT NULL"

source: optional string

Column source: ‘data’ or ‘task_result_cache’

value: optional string or number or boolean or array of unknown

Value to compare against. Not required for IS NULL / IS NOT NULL operators.

One of the following:

string

number

boolean

array of unknown

logicalOperators: optional array of "AND" or "OR"

Logical operators connecting conditions. Length must be len(conditions) - 1

One of the following:

"AND"

"OR"

groupBy: optional array of string

Columns to group by

latest_only: optional boolean

When True, the widget computes against rows from only the most recent active evaluation in the group (by EvaluationORM.created_at). Only applicable for evaluation group dashboards. Composes with evaluation_ids (latest within the subset). Cannot be combined with per-aggregation evaluation_ids; the use case enforces these rules.

limit: optional number

Max rows to return

minimum1

orderBy: optional array of object { column, direction, source }

Sort order

column: string

Column name to sort by

direction: optional "ASC" or "DESC"

Sort direction

One of the following:

"ASC"

"DESC"

source: optional string

Column source: ‘data’ or ‘task_result_cache’

MetricQuery object { select, evaluation_ids, filter, latest_only }

Query that returns a single metric value (used for metric widgets).

Used for widget type: metric. Enforces exactly 1 aggregation in select. Returns: {“type”: “metric”, “data”: …}

Example SQL equivalent: SELECT AVG(score) as average_score FROM evaluation_items

select: array of SelectItem { expression, alias }

expression: object { column, source, type } or object { column, function, evaluation_ids, 3 more }

Reference to a column from evaluation_items.data

Example: {“type”: “COLUMN”, “column”: “category”}

One of the following:

Column object { column, source, type }

Reference to a column from evaluation_items.data

Example: {“type”: “COLUMN”, “column”: “category”}

column: string

Column name from evaluation_items.data

source: optional string

Column source: ‘data’ or ‘task_result_cache’

type: optional "COLUMN"

Aggregation object { column, function, evaluation_ids, 3 more }

Aggregation function to apply

Examples: {“type”: “AGGREGATION”, “function”: “AVG”, “column”: “score”} {“type”: “AGGREGATION”, “function”: “COUNT”, “column”: ”*”} {“type”: “AGGREGATION”, “function”: “PERCENTILE”, “column”: “score”, “params”: {“percentile”: 95}}

column: string

Column to aggregate, or '' for COUNT()

function: "COUNT" or "SUM" or "AVG" or 7 more

Supported aggregation functions

One of the following:

"COUNT"

"SUM"

"AVG"

"MIN"

"MAX"

"STDDEV"

"VARIANCE"

"PERCENTILE"

"COUNT_DISTINCT"

"PERCENTAGE"

evaluation_ids: optional array of string

Optional subset of evaluation IDs for per-aggregation filtering in evaluation group dashboards.

params: optional map[unknown]

Function parameters (e.g., {‘percentile’: 95} for PERCENTILE, {‘percentage_filters’: Filter} for PERCENTAGE)

source: optional string

Column source: ‘data’ or ‘task_result_cache’

type: optional "AGGREGATION"

alias: optional string

Optional alias for the selected item

evaluation_ids: optional array of string

Optional subset of evaluation IDs to compute on. Only applicable for evaluation group dashboards. If omitted, computes on all evaluations in the group.

filter: optional Filter { conditions, logicalOperators }

Filter conditions (WHERE clause)

conditions: array of object { column, operator, source, value }

column: string

Column name to filter on

operator: "=" or "!=" or ">" or 9 more

Comparison operator

One of the following:

"="

"!="

">"

"<"

">="

"<="

"IN"

"NOT IN"

"LIKE"

"NOT LIKE"

"IS NULL"

"IS NOT NULL"

source: optional string

Column source: ‘data’ or ‘task_result_cache’

value: optional string or number or boolean or array of unknown

Value to compare against. Not required for IS NULL / IS NOT NULL operators.

One of the following:

string

number

boolean

array of unknown

logicalOperators: optional array of "AND" or "OR"

Logical operators connecting conditions. Length must be len(conditions) - 1

One of the following:

"AND"

"OR"

latest_only: optional boolean

When True, the widget computes against rows from only the most recent active evaluation in the group (by EvaluationORM.created_at). Only applicable for evaluation group dashboards. Composes with evaluation_ids (latest within the subset). Cannot be combined with per-aggregation evaluation_ids; the use case enforces these rules.

total: number

The total of items that match the query. This is greater than or equal to the number of items returned.

limit: optional number

The maximum number of items to return.

object: optional "list"

List Evaluation Dashboards

HTTP

HTTP

TypeScript

Python

Go

curl https://api.egp.scale.com/v5/evaluation-dashboards \
    -H "x-api-key: $SGP_API_KEY"

200 example

{
  "has_more": true,
  "items": [
    {
      "id": "id",
      "account_id": "account_id",
      "created_at": "2019-12-27T18:11:19.117Z",
      "created_by": {
        "id": "id",
        "type": "user",
        "object": "identity"
      },
      "name": "name",
      "tags": [
        "string"
      ],
      "updated_at": "2019-12-27T18:11:19.117Z",
      "archived_at": "2019-12-27T18:11:19.117Z",
      "description": "description",
      "error_message": "error_message",
      "evaluation_group_id": "evaluation_group_id",
      "evaluation_id": "evaluation_id",
      "object": "evaluation_dashboard",
      "widget_order": [
        "string"
      ],
      "widget_results": [
        {
          "id": "id",
          "account_id": "account_id",
          "computation_status": "pending",
          "created_at": "2019-12-27T18:11:19.117Z",
          "widget_id": "widget_id",
          "computation_job_id": "computation_job_id",
          "computed_at": "2019-12-27T18:11:19.117Z",
          "computed_result": {
            "foo": "bar"
          },
          "error_message": "error_message",
          "evaluation_group_id": "evaluation_group_id",
          "evaluation_id": "evaluation_id",
          "object": "evaluation_dashboard_widget_result",
          "widget": {
            "id": "id",
            "account_id": "account_id",
            "created_at": "2019-12-27T18:11:19.117Z",
            "title": "title",
            "type": "bar",
            "archived_at": "2019-12-27T18:11:19.117Z",
            "config": {
              "foo": "bar"
            },
            "object": "evaluation_dashboard_widget",
            "query": {
              "select": [
                {
                  "expression": {
                    "column": "column",
                    "source": "source",
                    "type": "COLUMN"
                  },
                  "alias": "alias"
                }
              ],
              "evaluation_ids": [
                "string"
              ],
              "filter": {
                "conditions": [
                  {
                    "column": "column",
                    "operator": "=",
                    "source": "source",
                    "value": "string"
                  }
                ],
                "logicalOperators": [
                  "AND"
                ]
              },
              "groupBy": [
                "string"
              ],
              "latest_only": true,
              "limit": 1,
              "orderBy": [
                {
                  "column": "column",
                  "direction": "ASC",
                  "source": "source"
                }
              ]
            }
          }
        }
      ],
      "widgets": [
        {
          "id": "id",
          "account_id": "account_id",
          "created_at": "2019-12-27T18:11:19.117Z",
          "title": "title",
          "type": "bar",
          "archived_at": "2019-12-27T18:11:19.117Z",
          "config": {
            "foo": "bar"
          },
          "object": "evaluation_dashboard_widget",
          "query": {
            "select": [
              {
                "expression": {
                  "column": "column",
                  "source": "source",
                  "type": "COLUMN"
                },
                "alias": "alias"
              }
            ],
            "evaluation_ids": [
              "string"
            ],
            "filter": {
              "conditions": [
                {
                  "column": "column",
                  "operator": "=",
                  "source": "source",
                  "value": "string"
                }
              ],
              "logicalOperators": [
                "AND"
              ]
            },
            "groupBy": [
              "string"
            ],
            "latest_only": true,
            "limit": 1,
            "orderBy": [
              {
                "column": "column",
                "direction": "ASC",
                "source": "source"
              }
            ]
          }
        }
      ]
    }
  ],
  "total": 0,
  "limit": 0,
  "object": "list"
}

Returns Examples

200 example

{
  "has_more": true,
  "items": [
    {
      "id": "id",
      "account_id": "account_id",
      "created_at": "2019-12-27T18:11:19.117Z",
      "created_by": {
        "id": "id",
        "type": "user",
        "object": "identity"
      },
      "name": "name",
      "tags": [
        "string"
      ],
      "updated_at": "2019-12-27T18:11:19.117Z",
      "archived_at": "2019-12-27T18:11:19.117Z",
      "description": "description",
      "error_message": "error_message",
      "evaluation_group_id": "evaluation_group_id",
      "evaluation_id": "evaluation_id",
      "object": "evaluation_dashboard",
      "widget_order": [
        "string"
      ],
      "widget_results": [
        {
          "id": "id",
          "account_id": "account_id",
          "computation_status": "pending",
          "created_at": "2019-12-27T18:11:19.117Z",
          "widget_id": "widget_id",
          "computation_job_id": "computation_job_id",
          "computed_at": "2019-12-27T18:11:19.117Z",
          "computed_result": {
            "foo": "bar"
          },
          "error_message": "error_message",
          "evaluation_group_id": "evaluation_group_id",
          "evaluation_id": "evaluation_id",
          "object": "evaluation_dashboard_widget_result",
          "widget": {
            "id": "id",
            "account_id": "account_id",
            "created_at": "2019-12-27T18:11:19.117Z",
            "title": "title",
            "type": "bar",
            "archived_at": "2019-12-27T18:11:19.117Z",
            "config": {
              "foo": "bar"
            },
            "object": "evaluation_dashboard_widget",
            "query": {
              "select": [
                {
                  "expression": {
                    "column": "column",
                    "source": "source",
                    "type": "COLUMN"
                  },
                  "alias": "alias"
                }
              ],
              "evaluation_ids": [
                "string"
              ],
              "filter": {
                "conditions": [
                  {
                    "column": "column",
                    "operator": "=",
                    "source": "source",
                    "value": "string"
                  }
                ],
                "logicalOperators": [
                  "AND"
                ]
              },
              "groupBy": [
                "string"
              ],
              "latest_only": true,
              "limit": 1,
              "orderBy": [
                {
                  "column": "column",
                  "direction": "ASC",
                  "source": "source"
                }
              ]
            }
          }
        }
      ],
      "widgets": [
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