--- name: supermetrics description: "Official Supermetrics skill. Query marketing data from 100+ platforms including Google Analytics, Meta Ads, Google Ads, and LinkedIn. Requires API key." version: 1.0.1 triggers: - marketing data - supermetrics - analytics - ads performance - campaign metrics - google analytics - meta ads - facebook ads - google ads - linkedin ads - marketing report author: supermetrics tags: [marketing, analytics, supermetrics, api, data] requires: env: - SUPERMETRICS_API_KEY ---

Supermetrics Marketing Data

Query marketing data from 100+ platforms including Google Analytics, Meta Ads, Google Ads, and LinkedIn.

Usage

Import the helper module:

from supermetrics import (
    discover_sources,
    discover_accounts,
    discover_fields,
    query_data,
    get_results,
    get_today,
    search,
    health,
)

Functions

discover_sources()

List all available marketing platforms.

result = discover_sources()
for src in result['data']['sources']:
    print(f"{src['id']}: {src['name']}")

discover_accounts(ds_id)

Get connected accounts for a data source.

Common data source IDs: | ID | Platform | |----|----------| | FA | Meta Ads (Facebook) | | AW | Google Ads | | GAWA | Google Analytics | | GA4 | Google Analytics 4 | | LI | LinkedIn Ads | | AC | Microsoft Advertising (Bing) |

result = discover_accounts("GAWA")
for acc in result['data']['accounts']:
    print(f"{acc['account_id']}: {acc['account_name']}")

discover_fields(ds_id, field_type=None)

Get available metrics and dimensions.

# Get all fields
result = discover_fields("GAWA")

# Get only metrics
result = discover_fields("GAWA", "metric")

# Get only dimensions
result = discover_fields("GAWA", "dimension")

query_data(...)

Execute a marketing data query. Returns schedule_id for async retrieval.

result = query_data(
    ds_id="GAWA",
    ds_accounts="123456789",
    fields=["date", "sessions", "pageviews", "users"],
    date_range_type="last_7_days"
)
schedule_id = result['data']['schedule_id']

Parameters:

• ds_id (required): Data source ID
• ds_accounts (required): Account ID(s) from discover_accounts()
• fields (required): Field ID(s) from discover_fields()
• date_range_type: last_7_days, last_30_days, last_3_months, custom
• start_date, end_date: For custom date range (YYYY-MM-DD)
• filters: Filter expression (e.g., "country == United States")
• timezone: IANA timezone (e.g., "America/New_York")

Filter operators:

• ==, != - equals, not equals
• >, >=, <, <= - comparisons
• =@, !@ - contains, does not contain
• =~, !~ - regex match

get_results(schedule_id)

Retrieve query results.

result = get_results(schedule_id)
for row in result['data']['data']:
    print(row)

get_today()

Get current UTC date for date calculations.

result = get_today()
print(result['data']['date'])  # "2026-02-03"

search(query)

Search across Supermetrics resources for guidance and suggestions.

result = search("facebook ads metrics")
print(result['data'])

health()

Check Supermetrics server health status.

result = health()
print(result['data']['status'])  # "healthy"

Workflow Example

from supermetrics import (
    discover_accounts,
    discover_fields,
    query_data,
    get_results,
)

# 1. Find accounts
accounts = discover_accounts("GAWA")
account_id = accounts['data']['accounts'][0]['account_id']

# 2. See available fields
fields = discover_fields("GAWA", "metric")
print([f['id'] for f in fields['data']['metrics'][:5]])

# 3. Query data
query = query_data(
    ds_id="GAWA",
    ds_accounts=account_id,
    fields=["date", "sessions", "users", "pageviews"],
    date_range_type="last_7_days"
)

# 4. Get results
data = get_results(query['data']['schedule_id'])
for row in data['data']['data']:
    print(row)

Response Format

All functions return:

{"success": True, "data": {...}}  # Success
{"success": False, "error": "..."}  # Error