Access the CallRail API with managed OAuth authentication. Track calls, manage tracking numbers, analyze call data, and organize with tags.
# List all calls
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/callrail/v3/a/{account_id}/calls.json')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
https://api.maton.ai/callrail/{native-api-path}
Maton proxies requests to api.callrail.com and automatically injects your OAuth token.
All requests require the Maton API key in the Authorization header:
Authorization: Bearer $MATON_API_KEY
Environment Variable: Set your API key as MATON_API_KEY:
export MATON_API_KEY="YOUR_API_KEY"
Manage your CallRail OAuth connections at https://api.maton.ai.
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections?app=callrail&status=ACTIVE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
python <<'EOF'
import urllib.request, os, json
data = json.dumps({'app': 'callrail'}).encode()
req = urllib.request.Request('https://api.maton.ai/connections', data=data, method='POST')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Content-Type', 'application/json')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
Response:
{
"connection": {
"connection_id": "{connection_id}",
"status": "ACTIVE",
"creation_time": "2026-02-10T09:55:17.574212Z",
"last_updated_time": "2026-02-10T09:55:34.693801Z",
"url": "https://connect.maton.ai/?session_token=...",
"app": "callrail",
"metadata": {}
}
}
Open the returned url in a browser to complete OAuth authorization.
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections/{connection_id}', method='DELETE')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
If you have multiple CallRail connections, specify which one to use with the Maton-Connection header:
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/callrail/v3/a.json')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
req.add_header('Maton-Connection', '{connection_id}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
If you have multiple connections, always include this header to ensure requests go to the intended account.
All CallRail API endpoints follow this pattern:
/callrail/v3/a/{account_id}/{resource}.json
Account IDs start with ACC, Company IDs start with COM, Call IDs start with CAL, Tracker IDs start with TRK, User IDs start with USR.
GET /callrail/v3/a.json
Response:
{
"page": 1,
"per_page": 100,
"total_pages": 1,
"total_records": 1,
"accounts": [
{
"id": "ACC019c46b8a0807fbdb81c8bf12af91cb3",
"name": "My Account",
"numeric_id": 518664017,
"inbound_recording_enabled": false,
"outbound_recording_enabled": false,
"hipaa_account": false,
"created_at": "2026-02-10 03:43:50 -0500"
}
]
}
GET /callrail/v3/a/{account_id}.json
GET /callrail/v3/a/{account_id}/companies.json
Response:
{
"page": 1,
"per_page": 100,
"total_pages": 1,
"total_records": 1,
"companies": [
{
"id": "COM019c46b8a26376a9a4f29671dcdd49e9",
"name": "My Company",
"status": "active",
"time_zone": "America/Los_Angeles",
"created_at": "2026-02-10T08:43:51.280Z",
"callscore_enabled": false,
"lead_scoring_enabled": true,
"callscribe_enabled": true
}
]
}
GET /callrail/v3/a/{account_id}/companies/{company_id}.json
GET /callrail/v3/a/{account_id}/calls.json
Query Parameters:
| Parameter | Description |
|---|---|
| ----------- | ------------- |
page | Page number (default: 1) |
per_page | Results per page (default: 100, max: 250) |
date_range | Preset: recent, today, yesterday, last_7_days, last_30_days, this_month, last_month |
start_date | ISO 8601 date (e.g., 2026-02-01T00:00:00-08:00) |
end_date | ISO 8601 date |
company_id | Filter by company |
tracker_id | Filter by tracker |
search | Search term |
fields | Comma-separated field names to return |
sort | Field to sort by |
order | Sort order: asc or desc |
Response:
{
"page": 1,
"per_page": 100,
"total_pages": 1,
"total_records": 1,
"calls": [
{
"id": "CAL019c46b9fc277a7881e3728fea20869b",
"answered": false,
"customer_name": "John Doe",
"customer_phone_number": "+18886757190",
"direction": "inbound",
"duration": 36,
"recording": "https://api.callrail.com/v3/a/.../recording",
"recording_duration": 36,
"start_time": "2026-02-10T00:45:19.781-08:00",
"tracking_phone_number": "+18017846712",
"voicemail": true
}
]
}
GET /callrail/v3/a/{account_id}/calls/{call_id}.json
PUT /callrail/v3/a/{account_id}/calls/{call_id}.json
Content-Type: application/json
{
"customer_name": "John Smith",
"note": "Follow up scheduled",
"lead_status": "good_lead",
"spam": false
}
Updatable Fields:
| Field | Description |
|---|---|
| ------- | ------------- |
customer_name | Customer's name |
note | Call notes |
lead_status | good_lead, not_a_lead, previously_marked_good_lead |
spam | Mark as spam (boolean) |
tag_list | Array of tag names to apply |
value | Call value (numeric) |
append_tags | Add tags without removing existing |
GET /callrail/v3/a/{account_id}/calls/summary.json
Get aggregated call statistics for a date range.
Query Parameters:
| Parameter | Description |
|---|---|
| ----------- | ------------- |
date_range | Preset date range |
start_date | Start date (ISO 8601) |
end_date | End date (ISO 8601) |
group_by | Group results: company, tracker, source, medium, etc. |
Response:
{
"start_date": "2026-02-03T00:00:00-0800",
"end_date": "2026-02-10T23:59:59-0800",
"time_zone": "Pacific Time (US & Canada)",
"total_results": {
"total_calls": 42
}
}
GET /callrail/v3/a/{account_id}/calls/timeseries.json
Get call data over time for charts and graphs.
Response:
{
"start_date": "2026-02-03T00:00:00-0800",
"end_date": "2026-02-10T23:59:59-0800",
"data": [
{"key": "2026-02-03", "date": "2026-02-03", "total_calls": 5},
{"key": "2026-02-04", "date": "2026-02-04", "total_calls": 8}
]
}
GET /callrail/v3/a/{account_id}/trackers.json
Response:
{
"page": 1,
"per_page": 100,
"total_records": 1,
"trackers": [
{
"id": "TRK019c46b9f18174d68bb8d7985260a11f",
"name": "Google My Business",
"type": "source",
"status": "active",
"destination_number": "+18019234886",
"tracking_numbers": ["+18017846712"],
"sms_supported": true,
"sms_enabled": true,
"company": {
"id": "COM019c46b8a26376a9a4f29671dcdd49e9",
"name": "My Company"
},
"source": {"type": "google_my_business"},
"call_flow": {
"type": "basic",
"recording_enabled": true,
"destination_number": "+18019234886"
}
}
]
}
GET /callrail/v3/a/{account_id}/trackers/{tracker_id}.json
GET /callrail/v3/a/{account_id}/tags.json
Response:
{
"page": 1,
"per_page": 100,
"total_records": 6,
"tags": [
{
"id": 7886733,
"name": "Schedule requested",
"tag_level": "account",
"color": "orange3",
"background_color": "gray1",
"company_id": null,
"status": "enabled"
},
{
"id": 7886728,
"name": "Opportunity",
"tag_level": "company",
"color": "gray1",
"company_id": "COM019c46b8a26376a9a4f29671dcdd49e9",
"status": "enabled"
}
]
}
POST /callrail/v3/a/{account_id}/tags.json
Content-Type: application/json
{
"name": "New Tag",
"tag_level": "account",
"color": "blue1"
}
Tag Levels:
account - Available to all companies in the accountcompany - Specific to a company (requires company_id)Colors: gray1, blue1, blue2, green1, green2, orange1, orange2, orange3, red1, etc.
PUT /callrail/v3/a/{account_id}/tags/{tag_id}.json
Content-Type: application/json
{
"name": "Updated Tag Name",
"color": "green1"
}
DELETE /callrail/v3/a/{account_id}/tags/{tag_id}.json
GET /callrail/v3/a/{account_id}/users.json
Response:
{
"page": 1,
"per_page": 100,
"total_records": 1,
"users": [
{
"id": "USR019c46b8a0557b2e85e5e1c651452509",
"email": "user@example.com",
"first_name": "John",
"last_name": "Doe",
"name": "John Doe",
"role": "admin",
"accepted": true,
"created_at": "2026-02-10T03:43:50.798-05:00",
"companies": [
{"id": "COM...", "name": "My Company"}
]
}
]
}
GET /callrail/v3/a/{account_id}/users/{user_id}.json
GET /callrail/v3/a/{account_id}/integrations.json?company_id={company_id}
Note: company_id is required.
GET /callrail/v3/a/{account_id}/notifications.json
CallRail uses offset-based pagination:
GET /callrail/v3/a/{account_id}/calls.json?page=2&per_page=50
Response includes:
{
"page": 2,
"per_page": 50,
"total_pages": 10,
"total_records": 487,
"calls": [...]
}
Parameters:
page - Page number (default: 1)per_page - Results per page (default: 100, max: 250)For the calls endpoint, you can also use relative pagination:
GET /callrail/v3/a/{account_id}/calls.json?relative_pagination=true
This returns next_page URL and has_next_page boolean for efficient pagination of large datasets.
const response = await fetch(
'https://api.maton.ai/callrail/v3/a/{account_id}/calls.json',
{
headers: {
'Authorization': `Bearer ${process.env.MATON_API_KEY}`
}
}
);
const data = await response.json();
console.log(data.calls);
import os
import requests
response = requests.get(
'https://api.maton.ai/callrail/v3/a/{account_id}/calls.json',
headers={'Authorization': f'Bearer {os.environ["MATON_API_KEY"]}'},
params={'per_page': 50, 'date_range': 'last_30_days'}
)
data = response.json()
for call in data['calls']:
print(f"{call['customer_name']}: {call['duration']}s")
| Endpoint Type | Hourly Limit | Daily Limit |
|---|---|---|
| -------------- | -------------- | ------------- |
| General API | 1,000 | 10,000 |
| SMS Send | 150 | 1,000 |
| Outbound Calls | 100 | 2,000 |
Exceeding limits returns HTTP 429. Implement exponential backoff for retries.
ACCCOMCALTRKUSR.jsoncurl -g when URLs contain brackets to disable glob parsingjq or other commands, environment variables like $MATON_API_KEY may not expand correctly in some shell environments| Status | Meaning |
|---|---|
| -------- | --------- |
| 400 | Bad request or missing required parameter |
| 401 | Invalid or missing Maton API key |
| 403 | Forbidden - insufficient permissions |
| 404 | Resource not found |
| 422 | Unprocessable entity |
| 429 | Rate limited |
| 500 | Internal server error |
| 503 | Service unavailable |
MATON_API_KEY environment variable is set:echo $MATON_API_KEY
python <<'EOF'
import urllib.request, os, json
req = urllib.request.Request('https://api.maton.ai/connections')
req.add_header('Authorization', f'Bearer {os.environ["MATON_API_KEY"]}')
print(json.dumps(json.load(urllib.request.urlopen(req)), indent=2))
EOF
callrail. For example:https://api.maton.ai/callrail/v3/a.jsonhttps://api.maton.ai/v3/a.json共 2 个版本