For AI agents: markdown of this page — /docs-content-en/entities/items/aggregate.md documentation index — /llms.txt

Aggregate items

POST /v1/items/:entityTypeId/aggregate

Count, sum, average, minimum, and maximum over smart process items with filtering and grouping. The smart process is specified in the path via entityTypeId — the process type ID, which you can obtain from GET /v1/smart-processes.

Standard fields:

  • opportunity — item amount (numeric aggregation makes sense)
  • categoryId — category (for groupBy)
  • assignedById — responsible person (for groupBy)
  • stageId — stage (for groupBy)
  • createdBy — created by (for groupBy)
  • updatedBy — last modified by (for groupBy)

User fields (UF): UF field names are prefixed with the smart process's internal type number — ufCrm<typeId>_* (for example, ufCrm7_1652689362). This number is not equal to the entityTypeId from the path — get the exact UF field names from the response of GET /v1/items/:entityTypeId/fields or from the INVALID_PARAMS error text, which lists your Bitrix24 account's available fields. Types integer, double, and money work with numeric functions; UF fields of any type work with groupBy. UF fields are the main source of business data in smart processes.

Path parameters

Parameter Type Required Description
entityTypeId number yes Smart process type ID. For custom smart processes — any positive integer from GET /v1/smart-processes. The values 1 (leads), 2 (deals), 3 (contacts), 4 (companies), 7 (quotes), 31 (invoices) are reserved — use the dedicated APIs: /v1/deals, /v1/leads, etc.

Request fields (body)

Parameter Type Required Description
aggregate array no Array of aggregations. Each element: { "field": "opportunity", "function": "sum" }. Functions: count, sum, avg, min, max. For count, the field is "*". Without the array — only count
filter object no Filter by fields from GET /v1/items/:entityTypeId/fields. Filtering syntax
groupBy string | string[] no Field or array of fields to group by (maximum 5). Accepts standard fields and UF fields of any type

Examples

curl — personal key

Terminal
curl -X POST "https://vibecode.bitrix24.com/v1/items/177/aggregate" \
  -H "X-Api-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "aggregate": [
      { "field": "opportunity", "function": "sum" },
      { "field": "opportunity", "function": "avg" }
    ],
    "filter": { "categoryId": 7 },
    "groupBy": "stageId"
  }'

curl — OAuth application

Terminal
curl -X POST "https://vibecode.bitrix24.com/v1/items/177/aggregate" \
  -H "X-Api-Key: YOUR_APP_KEY" \
  -H "Authorization: Bearer USER_SESSION_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "aggregate": [
      { "field": "opportunity", "function": "sum" },
      { "field": "opportunity", "function": "avg" }
    ],
    "filter": { "categoryId": 7 },
    "groupBy": "stageId"
  }'

JavaScript — personal key

javascript
const entityTypeId = 177

const res = await fetch(`https://vibecode.bitrix24.com/v1/items/${entityTypeId}/aggregate`, {
  method: 'POST',
  headers: {
    'X-Api-Key': 'YOUR_API_KEY',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    aggregate: [
      { field: 'opportunity', function: 'sum' },
      { field: 'opportunity', function: 'avg' },
    ],
    filter: { categoryId: 7 },
    groupBy: 'stageId',
  }),
})

const { success, data } = await res.json()
console.log('Total items:', data.count)
console.log('By stage:', data.groups)

JavaScript — OAuth application

javascript
const entityTypeId = 177

const res = await fetch(`https://vibecode.bitrix24.com/v1/items/${entityTypeId}/aggregate`, {
  method: 'POST',
  headers: {
    'X-Api-Key': 'YOUR_APP_KEY',
    'Authorization': 'Bearer USER_SESSION_TOKEN',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    aggregate: [
      { field: 'opportunity', function: 'sum' },
      { field: 'opportunity', function: 'avg' },
    ],
    filter: { categoryId: 7 },
    groupBy: 'stageId',
  }),
})

const { success, data } = await res.json()

To group by multiple fields, pass an array: "groupBy": ["stageId", "categoryId"] (maximum 5).

Other scenarios

Count records — count with field "*", the fastest request without fetching records. Without the aggregate array the result is the same:

JSON
{ "aggregate": [{ "field": "*", "function": "count" }] }

Working with user fields (UF) — sum over a UF + grouping by another UF:

JSON
{
  "aggregate": [{ "field": "ufCrm7_1741091916816", "function": "sum" }],
  "groupBy": "ufCrm7_1652689362"
}

Response fields

Field Type Description
success boolean Always true on success
data.count number Number of items matching the filter
data.aggregates object Aggregation results: { "opportunity": { "sum": 65911, "avg": 4707.92 } }
data.groups array Groups (only with groupBy). Each element: grouping fields + count + aggregates
data.meta.totalRecords number Total number of records matching the filter
data.meta.recordsProcessed number How many records were actually processed for aggregation
data.meta.truncated boolean true when the numbers were computed over only some of the records that match the filter: fewer records were read than data.count promised — including when more than 5000 matched the filter — or the slice was cut short by a sub-page error. The size of the gap is reported in data.meta.recordsShortfall, the interrupted slice in data.meta.pageErrorSample. Always present, and false on a complete response. If the request has neither groupBy nor a numeric function, no records are fetched and the flag is always false
data.meta.groupTotal number Number of groups (only with groupBy)
data.meta.groupsTruncated boolean true if the group list was truncated

Response example

Response to the main request (aggregations + groupBy: "stageId"):

JSON
{
  "success": true,
  "data": {
    "count": 14,
    "aggregates": {
      "opportunity": { "sum": 65911, "avg": 4707.92 }
    },
    "groups": [
      {
        "stageId": "DT177_7:NEW",
        "count": 8,
        "aggregates": { "opportunity": { "sum": 40000 } }
      },
      {
        "stageId": "DT177_7:SUCCESS",
        "count": 6,
        "aggregates": { "opportunity": { "sum": 25911 } }
      }
    ],
    "meta": {
      "totalRecords": 14,
      "recordsProcessed": 14,
      "truncated": false,
      "groupTotal": 2,
      "groupsTruncated": false
    }
  }
}

Without groupBy, the data.groups field is absent from the response.

Error response example

400 — reserved entityTypeId (for standard CRM entities):

JSON
{
  "success": false,
  "error": {
    "code": "INVALID_DYNAMIC_PARAM",
    "message": "entityTypeId 2 has a dedicated API: use /v1/deals instead"
  }
}

Errors

HTTP Code Description
400 INVALID_DYNAMIC_PARAM entityTypeId is not a positive integer or is reserved (1, 2, 3, 4, 7, 31)
400 INVALID_PARAMS Invalid function name, non-existent field, or a non-numeric field in sum/avg/min/max
401 TOKEN_MISSING The API key has no configured tokens
403 SCOPE_DENIED The API key lacks the crm scope
429 RATE_LIMITED Rate limit exceeded: 300 requests per minute per portal, all API keys of the portal share one limit. The exact value arrives in the x-ratelimit-limit header (the cap is divided across replicas). Retry after the delay in the Retry-After header

Full list of common API errors — Errors.

Known specifics

Without the aggregate array — only count. If you do not pass aggregate, the method makes one fast call to Bitrix24 and returns the count of records matching the filter. Suitable for dashboard counters.

Multiple aggregations in one request. You can combine them in a single call: [{ "field": "opportunity", "function": "sum" }, { "field": "opportunity", "function": "avg" }].

Money fields. UF fields of type money are stored in the format "amount|currency" ("1500|USD") — the aggregate extracts the numeric part automatically, so you can sum them without parsing.

Filtering by UF works. In filter you can pass any fields — standard and custom, of any type. For example, { "filter": { "ufCrm7_1652689362": 1435 } } returns the count of items with that UF value.

5000-record limit. Numeric aggregations load records page by page and compute the result on the Vibecode side. If more than 5000 records match the filter, the result is flagged with meta.truncated: true — only the first 5000 are taken. For an exact count use count (it works at any volume) or narrow the filter. The ceiling is not the only reason for this marker: it also appears when fewer records were read than data.count promised, and the size of the gap is reported in data.meta.recordsShortfall.

Reserved entityTypeId. The values 1 (leads), 2 (deals), 3 (contacts), 4 (companies), 7 (quotes), 31 (invoices) are served by dedicated APIs — use /v1/deals/aggregate, /v1/leads/aggregate, /v1/contacts/aggregate, /v1/companies/aggregate, /v1/quotes/aggregate, /v1/invoices/aggregate.

The truncation marker travels with the number itself. When a response arrives with meta.truncated: true, the marker truncated: true sits inside every field object in data.aggregates and on every element of data.groups, and data.meta.warnings gains a warning with the code AGGREGATE_TRUNCATED. A client that reads only the number itself therefore sees that it was computed over only some of the records. None of these markers appear on a complete response. Full details — Aggregation POST — the 5000-record ceiling.

See also