Export raw data

Your clicks, installs, app opens and events are yours to take elsewhere: a warehouse, a spreadsheet, another attribution tool. There are two ways out.

• The v1 export routes, for scripts and pipelines: every row of the account, oldest first, a page at a time, with the account key.
• CSV from the dashboard, for a person: the Overview’s Breakdown table, or the raw rows behind it with the same window and filters. See Dashboard: Overview.

Both leave out the raw network identifiers: the IP (raw or hashed) and the user agent. They are what attribution matched on, not data about your users you need to reconcile.

Page through the rows

Route	Rows
GET /api/v1/clicks	Every tap on a link, and every click the SDK logged
GET /api/v1/app-installs	Every install report: first installs, reinstalls (is_reinstall) and installs that were app updates into an SDK build (install_state update). The Overview’s Installs count only first installs.
GET /api/v1/app-opens	Every time a link opened the installed app
GET /api/v1/events	Every event, with the link it counts for (credited_slug)

These routes need the account key (dtg_…): an SDK key ships inside your app, so it answers 403 with code account_key_required. Sign the request like any other v1 call (Request signing); a GET signs the empty body.

Parameter	Default	Meaning
since	none	Only rows at or after this ISO 8601 time
until	none	Only rows before this ISO 8601 time
limit	100	Page size, 1 to 1000
cursor	none	next_cursor of the previous page

The answer is {data, next_cursor}: rows in the order they were recorded (time, then id), and the cursor for the next page, null on the last one. A bad cursor, since or until, or a limit out of range, answers 400.

Every click since the start of October, as JSON lines

cursor=""
while :; do
  page=$(dectog GET "/api/v1/clicks?since=2026-10-01T00:00:00Z&limit=1000${cursor:+&cursor=$cursor}")
  echo "$page" | jq -c '.data[]'
  cursor=$(echo "$page" | jq -r '.next_cursor // empty')
  [ -z "$cursor" ] && break
done

dectog is the signed curl helper from Request signing, with DECTOG_API_KEY set to the account key; the same page has the headers in Node.

To keep a copy current, remember the time of the last row you stored and ask with since set to it on the next run. Rows with that exact time come again; skip the ids you already have.

Raw rows live for the retention window (RETENTION_DAYS, 400 days by default); older ones are gone. See Scheduled jobs and retention.

Columns

JSON columns (link_params, fraud_flags, blocked_by, metadata) arrive parsed; is_reinstall, matched and via_open are booleans. A CSV has the same columns in the same order, JSON columns as JSON text.

Rows	Columns
Clicks	id, clicked_at, link_slug, link_kind, source, origin, device_type, os, os_major, browser, device_model, device_id, country, region, city, lang, referrer, utm_source, utm_medium, utm_campaign, utm_term, utm_content, link_params, routing_rule, cta, cta_at, bot_score, sdk_name, sdk_version, metadata
Installs	id, created_at, os, os_version, app_version, app_build_number, package_name, lang, timezone, country, device_id, device_model, device_manufacturer, is_reinstall, matched, matched_slug, matched_click_id, match_source, match_confidence, install_state, fraud_flags, blocked_by, asa_status, claimed_at, claim_source, sdk_name, sdk_version, metadata
App opens	id, created_at, slug, click_id, device_id, install_id, app_version, os
Events	id, created_at, type, event_name, revenue, currency, revenue_base, transaction_type, purchase_type, store, product_id, transaction_id, original_transaction_id, quantity, install_id, device_id, customer_id, matched_slug, source, web_click_id, credited_slug, via_open, client_event_id, client_timestamp, metadata

credited_slug is the link an event counts for: the link that last opened the app, when the event came within its re-engagement window, else the install’s link (matched_slug). revenue_base is the amount in the account’s revenue currency. A refund keeps its amount positive with transaction_type refund; totals subtract it.

CSV

GET /api/admin/export.csv takes the parameters of the analytics query (interval or start and end, tz, and the filters) plus data:

data	The file
analytics (default)	The analytics answer as a table: a column per group_by dimension, then one per metric, then conversion when both clicks and installs are in it
clicks, installs, opens, events	The raw rows of the window that pass the filters, oldest first. Installs include reinstalls and updates. A filter on a dimension those rows do not have, such as clicks by match_source, answers 400.

It is a session route: the dashboard’s Export CSV button and Raw rows menu call it. The file starts with a UTF-8 byte order mark so Excel reads accents right, separates rows with CRLF, and quotes a field holding a comma, a quote or a line break. A text that starts with =, +, - or @ gets a leading ', so a spreadsheet shows a campaign called =HYPERLINK(…) instead of running it. Numbers are left alone.

Up to 50,000 rows (EXPORT_STREAM_MAX_ROWS) stream back at once, with the row count in x-dectog-rows.

Larger exports

Past the limit, the export answers 422 with code export_too_large, rows and max_rows, and a message naming the ways out: a shorter window, tighter filters, or the paged route above.