For AI agents: markdown of this page — /docs-content-en/entities/deals/aggregate.md documentation index — /llms.txt
Aggregate deals
POST /v1/deals/aggregate
Count, sum, average, minimum and maximum over deals with filtering and grouping.
Standard fields:
amount— deal amount (numeric aggregation makes sense)stageId— stage (forgroupBy)categoryId— pipeline (forgroupBy)assignedById— assigned person (forgroupBy)sourceId— source (forgroupBy)
User fields (UF): UF fields of types integer, double, money — for numeric functions; UF of any type — for groupBy. The full list of UF fields for a specific Bitrix24 account is returned in the INVALID_PARAMS error text if you pass a non-existent name.
Request fields (body)
| Parameter | Type | Req. | Description |
|---|---|---|---|
aggregate |
array | no | Array of aggregations. Each element: { "field": "amount", "function": "sum" }. Functions: count, sum, avg, min, max. For count, the field is "*". Without the array — count only |
filter |
object | no | Filter by GET /v1/deals/fields fields. Filtering syntax |
groupBy |
string | string[] | no | Field or array of fields to group by (maximum 5). Allowed values — from the list above |
Examples
curl — personal key
curl -X POST "https://vibecode.bitrix24.com/v1/deals/aggregate" \
-H "X-Api-Key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"aggregate": [
{ "field": "amount", "function": "sum" },
{ "field": "amount", "function": "avg" }
],
"filter": { "categoryId": 0 },
"groupBy": "stageId"
}'
curl — OAuth app
curl -X POST "https://vibecode.bitrix24.com/v1/deals/aggregate" \
-H "X-Api-Key: YOUR_APP_KEY" \
-H "Authorization: Bearer USER_SESSION_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"aggregate": [
{ "field": "amount", "function": "sum" },
{ "field": "amount", "function": "avg" }
],
"filter": { "categoryId": 0 },
"groupBy": "stageId"
}'
JavaScript — personal key
const res = await fetch('https://vibecode.bitrix24.com/v1/deals/aggregate', {
method: 'POST',
headers: {
'X-Api-Key': 'YOUR_API_KEY',
'Content-Type': 'application/json',
},
body: JSON.stringify({
aggregate: [
{ field: 'amount', function: 'sum' },
{ field: 'amount', function: 'avg' },
],
filter: { categoryId: 0 },
groupBy: 'stageId',
}),
})
const { success, data } = await res.json()
console.log('Total deals in pipeline:', data.count)
console.log('By stages:', data.groups)
JavaScript — OAuth app
const res = await fetch('https://vibecode.bitrix24.com/v1/deals/aggregate', {
method: 'POST',
headers: {
'X-Api-Key': 'YOUR_APP_KEY',
'Authorization': 'Bearer USER_SESSION_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify({
aggregate: [
{ field: 'amount', function: 'sum' },
{ field: 'amount', function: 'avg' },
],
filter: { categoryId: 0 },
groupBy: 'stageId',
}),
})
const { success, data } = await res.json()
To group by several fields, pass an array:
"groupBy": ["stageId", "sourceId"](maximum 5).
Other scenarios
Count records — count with field "*", the fastest request without fetching records. Without the aggregate array the result is the same:
{ "aggregate": [{ "field": "*", "function": "count" }] }
Working with user fields (UF) — sum over a UF + grouping by another UF:
{
"aggregate": [{ "field": "UF_CRM_BUDGET", "function": "sum" }],
"groupBy": "UF_CRM_PRIORITY"
}
Pipeline summary — a single request with grouping by stage and a sum gives a breakdown from which the application side computes conversion to won:
{
"aggregate": [{ "field": "amount", "function": "sum" }],
"filter": { "categoryId": 0 },
"groupBy": "stageId"
}
In the response data.count is the total number of deals in the pipeline, data.groups is the breakdown by stage with sum and count. Stage identifiers depend on the pipeline — you can get them from Fields. Conversion is computed from the groups without a separate request:
const total = data.count
const won = data.groups.find(g => g.stageId === 'WON')?.count ?? 0
const conversion = total ? Math.round((won / total) * 100) : 0
console.log(`Deals in pipeline: ${total}, won: ${won}, conversion: ${conversion}%`)
Response fields
| Field | Type | Description |
|---|---|---|
success |
boolean | Always true on success |
data.count |
number | Total number of records matching the filter |
data.aggregates |
object | Aggregation results: { "amount": { "sum": 100000, "avg": 2439 } } |
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 processed for numeric aggregations (maximum 5000) |
data.meta.truncated |
boolean | true if more than 5000 records matched the filter |
Response example
Response to the main request (aggregations + groupBy: "stageId"):
{
"success": true,
"data": {
"count": 41,
"aggregates": {
"amount": { "sum": 100000, "avg": 2439 }
},
"groups": [
{
"stageId": "NEW",
"count": 25,
"aggregates": { "amount": { "sum": 60000 } }
},
{
"stageId": "WON",
"count": 16,
"aggregates": { "amount": { "sum": 40000 } }
}
],
"meta": {
"totalRecords": 41,
"recordsProcessed": 41,
"truncated": false
}
}
}
Without groupBy the data.groups field is absent from the response.
Error response example
400 — invalid function name, non-existent field, or groupBy over a non-aggregatable field:
{
"success": false,
"error": {
"code": "INVALID_PARAMS",
"message": "Field 'foo' not found. Available numeric fields: amount, stageId, categoryId, assignedById, sourceId"
}
}
Errors
| HTTP | Code | Description |
|---|---|---|
| 400 | INVALID_PARAMS |
Invalid function name, non-existent field, non-numeric field in sum/avg/min/max, groupBy over a non-aggregatable field, or more than 5 fields in groupBy |
| 401 | TOKEN_MISSING |
API key has no configured tokens |
| 403 | SCOPE_DENIED |
API key lacks the crm scope |
Full list of common API errors — Errors.
Known specifics
count vs numeric functions. count is computed with a single call to Bitrix24 at any data volume. The functions sum/avg/min/max fetch records page by page (maximum 5000) and compute on the Vibecode side — if more than 5000 records match the filter, meta.truncated will be true and the aggregation runs over the first 5000. For exact counts on large selections, use count or narrow the filter.
Money fields. UF fields of type money are stored in the format "amount|currency" ("1500|USD") — the aggregate extracts the numeric part automatically, you can sum them without parsing.
Filtering by UF works. In filter you can pass any fields — standard and user, of any type. For example, { "filter": { "ufCrm_1234": "value" } } returns the number of deals with this UF value.
See also
- List deals — retrieve records with filtering
- Search deals — POST request with filters
- Filtering syntax
- Limits and optimization — rate limits