
## Aggregate deals

`POST /v1/deals/aggregate`

Count, sum, average, minimum and maximum over deals with filtering and grouping.

**Standard fields:**

- `amount` — deal amount (suitable for numeric aggregation)
- `stageId` — stage (for `groupBy`)
- `categoryId` — funnel (for `groupBy`)
- `assignedById` — responsible person (for `groupBy`)
- `sourceId` — source (for `groupBy`)
- `currency` — deal currency (for `groupBy`). Currency list: [GET /v1/currencies](/docs/entities/currencies/list)

**User fields (UF):** fields of type `integer`, `double` or `money` work with numeric functions; fields of any type work with `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 | Required | 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 on the fields returned by `GET /v1/deals/fields`. [Filtering syntax](/docs/filtering) |
| `groupBy` | string \| string[] | no | Field or array of fields to group by (maximum 5). Allowed values are the fields listed above |

## Examples

### curl — personal key

```bash
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 application

```bash
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

```javascript
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 funnel:', data.count)
console.log('By stage:', data.groups)
```

### JavaScript — OAuth application

```javascript
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

The blocks below are request bodies.

Count records — `count` with the 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. The field name comes from the [`GET /v1/deals/fields`](/docs/entities/deals/fields) schema, and any other spelling returns `400 INVALID_PARAMS` with the list of available fields:

```json
{
  "aggregate": [{ "field": "ufCrmBudget", "function": "sum" }],
  "groupBy": "ufCrmPriority"
}
```

Funnel summary — a single request with grouping by stage and a sum gives a breakdown from which your application computes conversion to won deals:

```json
{
  "aggregate": [{ "field": "amount", "function": "sum" }],
  "filter": { "categoryId": 0 },
  "groupBy": "stageId"
}
```

In the response, `data.count` is the total number of deals in the funnel, and `data.groups` is the breakdown by stage with sum and count. Stage identifiers depend on the funnel — you can get them from [Deal fields](/docs/entities/deals/fields). Conversion is computed from the groups without a separate request:

```javascript
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 funnel: ${total}, won: ${won}, conversion: ${conversion}%`)
```

## Response fields

| Field | Type | Description |
|------|-----|---------|
| `success` | boolean | Always `true` on success |
| `data.count` | number | Exact after a complete probe or count walk; an observed lower bound if that walk stops early |
| `data.truncated` | boolean | Present only for an incomplete count recovery, always `true` |
| `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 | Same value as `data.count`: exact after a complete count, a lower bound after an interruption |
| `data.meta.recordsProcessed` | number | How many records were processed for numeric aggregations (maximum 5000) |
| `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 the response promised — including when more than 5000 matched the filter — or the slice was cut short by a sub-page error. What the response promised is `data.count`, and in the stage-count mode the larger of `data.count` and the sum of the stage counts. 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. Without `groupBy` or a numeric function, the flag can still be `true` if the missing-total count walk stops early |
| `data.meta.pageErrorSample` | object | Present after a failed record page or count page. A count failure contains only the safe `AGGREGATE_COUNT_PAGE_FAILED` code and an offset, never the Bitrix24 exception text |
| `data.meta.countWalkLimit` | number | Present only after 100 full count pages with no confirmed end; the value is `5000`. The ceiling alone does not create `pageErrorSample`, but a later record-page failure can add one |
| `data.meta.warnings` | array | Contains `AGGREGATE_TRUNCATED` when truncated; for an incomplete count it explains that `count` is a lower bound. Independently of truncation, contains `AGGREGATE_MIXED_CURRENCIES` when `sum`, `avg`, `min` or `max` reads a field stored in the record currency over records in more than one currency while `groupBy` names no currency field |

## Response example

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

```json
{
  "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:

```json
{
  "success": false,
  "error": {
    "code": "INVALID_PARAMS",
    "message": "Field 'foo' not found. Available numeric fields: id, amount, categoryId, companyId, mycompanyId, contactId, assignedById, createdBy, probability, webformId, updatedBy, movedBy, repeatSaleSegmentId, leadId, quoteId, lastActivityBy, taxValue, receivedAmount, lostAmount."
  }
}
```

## 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 |
| 422 | `AGGREGATION_LIMIT_EXCEEDED` | More than 5000 records match the filter and the request needs rows (numeric functions or `groupBy`). Returned only when one of the large-funnel modes is on for the account (see "Known specifics"). The error text lists what to do next |
| 429 | `RATE_LIMITED` | Rate limit exceeded: 300 requests per minute per portal. All API keys of the portal share one limit. The current limit is returned in the `x-ratelimit-limit` header. Retry after the delay in the `Retry-After` header |

For the full list of common API errors, see [Errors](/docs/errors).

## Known specifics

**`count` and numeric functions — the difference.** `count` without `groupBy` normally comes from one Bitrix24 probe; if the method omits a usable `total`, the platform walks count pages up to 5000 rows. On a failed or malformed page, `data.meta.pageErrorSample` carries `AGGREGATE_COUNT_PAGE_FAILED`; after 5000 rows without proof of an end, `data.meta.countWalkLimit` is `5000`. The response remains `200`, but `data.truncated` and `meta.truncated` are `true`, and `count` is a lower bound. The functions `sum`/`avg`/`min`/`max` fetch records page by page (maximum 5000) and compute the result 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 counts on large result sets, use `count` or narrow the filter; check `meta.truncated` before treating the number as exact. The ceiling is shared by every entity — [Aggregation POST — the 5000-record ceiling](/docs/entity-api#aggregation-post-the-5000-record-ceiling). The ceiling is not the only reason for this marker: it also appears when fewer records were read than the response promised, and in the stage-count mode the promise is the larger of `data.count` and the sum of the stage counts. The size of the gap is reported in `data.meta.recordsShortfall`.

**Large funnel: two modes, switched on per account by a platform administrator.**

Both are off by default. While they are off, the behavior is exactly as described above.

- **Refusal instead of truncation.** A request that needs rows to answer (numeric functions and/or `groupBy`) returns `422 AGGREGATION_LIMIT_EXCEEDED` when `total > 5000` and fetches no records at all. The error text lists what to do next.
- **Per-stage counts without reading rows.** `groupBy: ["stageId"]` with a scalar `categoryId` in the filter, or `groupBy: ["stageSemanticId"]` with any `categoryId` condition or none, works on a result set of any size: each stage count comes from a separate cheap count on the Bitrix24 side. The marker of such a response is `meta.aggregatePath: "fanout"` with `meta.recordsProcessed: 0`: no rows were read at all, so the counts are exact. Numeric functions per stage stay available while the combined group size fits in 5000 — but those do need rows, and such a response may come back truncated: `meta.truncated` is then `true` and the numbers carry the marker. The stage counts themselves stay exact — they come from a probe, not from the rows that were read.

**`meta.stageCountDelta`** appears only in a response with per-stage counts: the difference between the overall total and the sum of the stage counts. Zero means the split is complete. A non-zero value means some records did not make it into the split — either records changed between the counts, or some of them sit in a stage that the funnel's stage directory no longer lists. The stage counts and `count` stay exact regardless: `count` is always the overall total, never the sum of the groups. The numeric aggregates in such a response, however, are computed over fewer rows, so it arrives with `meta.truncated: true` and the markers next to the numbers.

**Amounts in different currencies.** `sum`, `avg`, `min` and `max` over `amount` and `taxValue` do not convert currencies: deals in `USD` and `EUR` yield one number that mixes both, and the response carries an `AGGREGATE_MIXED_CURRENCIES` warning in `data.meta.warnings`. `"groupBy": "currency"` gives the total per currency — the response carries a separate group for each currency and no warning. The account accounting-currency fields `receivedAmount` and `lostAmount` never raise the warning: they are already expressed in one currency.

**`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 — both standard and user fields, of any type. For example, `{ "filter": { "ufCrm_1234": "value" } }` returns the number of deals with this UF value.

## See also

- [List deals](/docs/entities/deals/list)
- [Search deals](/docs/entities/deals/search)
- [Filtering syntax](/docs/filtering)
- [Limits and optimization](/docs/optimization)
