For AI agents: markdown of this page — /docs-content-en/entities/requisites/aggregate.md documentation index — /llms.txt
Aggregate requisites
POST /v1/requisites/aggregate
Counts requisites with filtering and grouping.
Standard fields for groupBy:
rqInn,rqKpp,rqOgrn,rqOgrnip,rqOkpo— tax/registration identifiersrqVatId— VAT / tax number (used by international account presets)rqResidenceCountry— country of residencerqCompanyName— company nameentityTypeId— owner type (1 — lead, 3 — contact, 4 — company)presetId— requisite presetactive— active flag
All fields in aggregatable are identifiers and categorical codes, so groupBy works on them. Grouping by rqVatId (or another identifier) is the fastest way to find duplicate requisites in a single call, without fetching every record. Numeric functions (sum/avg/min/max) are not available on these fields (they are strings) — use numeric-typed custom UF fields for those.
The count contract. The count function accepts ONLY field: "*" — { "field": "*", "function": "count" }. Passing field: "id" (or any other name) returns 400 INVALID_PARAMS with the message count aggregate requires field "*". This is intentional: count counts rows, not the values of a specific field.
Custom fields (UF): UF fields of type integer, double, money work with numeric functions; UF fields of any type work with groupBy. String-type UF fields of a requisite — tax ID, phone number, address — are available only in groupBy. The full list of UF fields for a specific Bitrix24 account is returned in the INVALID_PARAMS error message if you pass a nonexistent name.
Request fields (body)
| Parameter | Type | Required | Description |
|---|---|---|---|
aggregate |
array | no | Array of aggregations. Each element: { "field": "*", "function": "count" }. Without the parameter — only count |
filter |
object | no | Filtering by GET /v1/requisites/fields fields.Filtering syntax |
groupBy |
string | string[] | no | Field or array of fields to group by (max 5). Accepts UF fields of any type |
Examples
curl — personal key
curl -X POST "https://vibecode.bitrix24.com/v1/requisites/aggregate" \
-H "X-Api-Key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"filter": { "active": true },
"groupBy": "entityTypeId"
}'
curl — OAuth app
curl -X POST "https://vibecode.bitrix24.com/v1/requisites/aggregate" \
-H "X-Api-Key: YOUR_APP_KEY" \
-H "Authorization: Bearer USER_SESSION_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"filter": { "active": true },
"groupBy": "entityTypeId"
}'
JavaScript — personal key
const res = await fetch('https://vibecode.bitrix24.com/v1/requisites/aggregate', {
method: 'POST',
headers: {
'X-Api-Key': 'YOUR_API_KEY',
'Content-Type': 'application/json',
},
body: JSON.stringify({
filter: { active: true },
groupBy: 'entityTypeId',
}),
})
const { success, data } = await res.json()
console.log('Total active requisites:', data.count)
console.log('By owner type:', data.groups)
JavaScript — OAuth app
const res = await fetch('https://vibecode.bitrix24.com/v1/requisites/aggregate', {
method: 'POST',
headers: {
'X-Api-Key': 'YOUR_APP_KEY',
'Authorization': 'Bearer USER_SESSION_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify({
filter: { active: true },
groupBy: 'entityTypeId',
}),
})
const { success, data } = await res.json()
To group by multiple fields, pass an array:
"groupBy": ["entityTypeId", "presetId"](max 5).
Other scenarios
The blocks below are request bodies.
The total number of requisites in the Bitrix24 account — the fastest request, without fetching records:
{}
Find duplicates by VAT ID in a single call — groups with count > 1 contain the duplicated VAT IDs:
{ "aggregate": [{ "field": "*", "function": "count" }], "groupBy": "rqVatId" }
Grouping by a UF field (any type — for example, a custom classifier):
{ "groupBy": "UF_CRM_CLASSIFIER" }
Response fields
| Field | Type | Description |
|---|---|---|
success |
boolean | Always true on success |
data.count |
number | Number of records matching the filter |
data.aggregates |
object | Numeric aggregation results. Empty when the aggregate array is not passed or holds only count |
data.groups |
array | Groups (only with groupBy). Each element: grouping fields + count |
data.meta.totalRecords |
number | Total number of records |
data.meta.recordsProcessed |
number | Number of processed records |
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 |
Response example
Response to the main request (groupBy: "entityTypeId"):
{
"success": true,
"data": {
"count": 164,
"aggregates": {},
"groups": [
{ "entityTypeId": 4, "count": 120 },
{ "entityTypeId": 3, "count": 40 },
{ "entityTypeId": 1, "count": 4 }
],
"meta": {
"totalRecords": 164,
"recordsProcessed": 164,
"truncated": false
}
}
}
Without groupBy, the data.groups field is absent from the response.
Error response example
403 — no scope:
{
"success": false,
"error": {
"code": "SCOPE_DENIED",
"message": "Requires 'crm' scope"
}
}
Errors
| HTTP | Code | Description |
|---|---|---|
| 400 | INVALID_PARAMS |
Invalid aggregation function name or nonexistent field |
| 403 | SCOPE_DENIED |
API key does not have the crm scope |
| 401 | TOKEN_MISSING |
API key has no configured tokens |
| 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
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.
Without the aggregate array — only count. If you do not pass aggregate, the method returns the count of records matching the filter.
Filtering by UF works. In filter you can pass any fields — standard and custom, of any type. For example, { "filter": { "UF_CRM_1234": "value" } } returns the number of requisites with that UF value.
The 5000-record ceiling. Numeric functions and grouping fetch records page by page, up to 5000. If more records match the filter, the response arrives with meta.truncated: true. Take the exact count from data.count — it comes from a separate count and is correct at any result-set size. 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.
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.