Get overview

GET https://datafa.st/api/v1/analytics/overview

Return aggregate analytics metrics for a date range or all time — visitors, sessions, bounce rate, revenue, and conversion rate in one request. This mirrors the headline numbers on your DataFast dashboard.

Omit startAt and endAt to query all-time data. Use fields to request only the metrics your integration needs.

Related: Filter your data

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Request

Query parameters

fields

string

Controls which properties are included in the response. Use it to request only the metrics or metadata your integration needs. Comma-separated response columns. Omit to return all valid fields for this endpoint. Valid: visitors, sessions, bounce_rate, avg_session_duration, currency, revenue, payments, revenue_per_visitor, conversion_rate. Returns all when omitted.

websiteId

string

Required with a dft_ account token on Website API routes. Omit with a df_ website key. Example: ?websiteId=665f0b3c4d2e1a0012345678.

startAt

string

Start of the reporting window. Use YYYY-MM-DD for calendar days or an ISO timestamp. Must be provided together with endAt. Example: startAt=2026-05-01.

endAt

string

End of the reporting window. Must be provided together with startAt. Example: endAt=2026-05-21.

timezone

string

Timezone used to interpret dates and group analytics buckets. Defaults to the website timezone. IANA timezone for dashboard periods and API date grouping. Examples: "America/New_York", "Europe/Paris", "UTC". Defaults to the website timezone when omitted.

filter_country

string

Limit results to one or more countries. Prefix with an operator: is, is_not. Accepts country names or codes. Example: filter_country=US,Canada or filter_country=is_not:France.

filter_region

string

Limit results by region or state. Example: filter_region=California.

filter_city

string

Limit results by city. Example: filter_city=San Francisco.

filter_device

string

Limit results by device type: desktop, mobile, or tablet. Example: filter_device=mobile.

filter_browser

string

Limit results by browser. Filtering Safari also includes Mobile Safari. Example: filter_browser=Chrome,Safari.

filter_os

string

Limit results by operating system. Example: filter_os=iOS,Android.

filter_referrer

string

Limit results by referrer domain or normalized source such as Google or Direct/None. Example: filter_referrer=Google.

filter_page

string

Limit results to visitors who viewed a page. Operators: is, is_not, contains, does_not_contain. Example: filter_page=contains:/docs.

filter_entry_page

string

Limit results by first page in the session. Same operators as filter_page. Example: filter_entry_page=/pricing.

filter_hostname

string

Limit results by tracked hostname. Example: filter_hostname=app.example.com.

filter_goal

string

Limit results to visitors who completed a goal. Example: filter_goal=signup.

filter_utm_source

string

Limit results by UTM source. Example: filter_utm_source=google.

filter_utm_medium

string

Limit results by UTM medium. Example: filter_utm_medium=cpc.

filter_utm_campaign

string

Limit results by UTM campaign. Example: filter_utm_campaign=launch.

filter_utm_term

string

Limit results by UTM term. Example: filter_utm_term=brand-keyword.

filter_utm_content

string

Limit results by UTM content. Example: filter_utm_content=hero-cta.

filter_ref

string

Limit results by the ref URL parameter. Example: filter_ref=twitter.

filter_source

string

Limit results by the source URL parameter. Example: filter_source=newsletter.

filter_via

string

Limit results by the via URL parameter. Example: filter_via=partner.

Example filters

Combine filter_* query params with date ranges:

GET /api/v1/analytics/timeseries?fields=visitors,revenue&interval=day&startAt=2026-05-01&endAt=2026-05-21&filter_device=mobile&filter_country=US

Operators: is, is_not, and contains (pages only). Full reference: filter your data.

Response

Returns a JSON object with status: "success" and endpoint-specific fields in data (and pagination when the endpoint is paginated).

Response fields

data[].visitors

number

Number of unique visitors represented by this row or time bucket. Use it to compare traffic volume across dates, pages, sources, countries, devices, or campaigns. Total unique visitors in the selected period and filters.

data[].sessions

number

Number of sessions represented by this row or time bucket. A visitor can create multiple sessions, so this can be higher than visitors. Total sessions in the selected period. One visitor can create multiple sessions.

data[].bounce_rate

number

Percentage of sessions that ended without another tracked interaction. Use it to spot low-engagement traffic.

data[].avg_session_duration

number

Average session duration for the selected period. Average session duration for the selected period.

data[].currency

string

Currency code for money values, such as USD or EUR.

data[].revenue

number

Revenue attributed to this row or time bucket, in the website currency. Use it to see which time periods or dimensions influenced paid conversions. Total attributed revenue for the selected period and filters.

data[].payments

number

Number of payment events attributed to this row or time bucket. Use it when you need transaction count instead of revenue amount. Total payment events for the selected period and filters.

data[].revenue_per_visitor

number

Average revenue per visitor. Use it to compare traffic quality across segments.

data[].conversion_rate

number

Revenue-based conversion rate for this row or bucket. Use it to compare how efficiently traffic converts. Payment conversion rate for the selected period and filters.

Authentication

df_ website API key: The website is inferred from the key. You do not need a websiteId query parameter.
dft_ account token: Requires analytics:read permission and ?websiteId= on every request. The token must be allowed to access that website.

Read authentication and scopes for token creation, permission lists, and scoped tokens.

Errors

400 — Invalid fields value, partial date range, or invalid filter.

404 — Website not found.

See API errors for the standard error envelope, auth failures, validation errors, permission errors, and rate limits.

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