Reporting & Analytics

Get your campaign performance data out of Ring DAS in two ways — both scoped to your network and using the same credentials as the rest of the platform:

• Reports Lens — an interactive, point-and-click explorer. No code.
• Reports API — JSON over HTTPS for dashboards, BI tools, notebooks, and ETL.

Reports Lens (interactive UI)

The Ring DAS Reports Lens is a web app for exploring your data without writing a single query.

Open it at: https://reports.das.ringpublishing.tech

Sign in with your Ring DAS account. Pick the metrics you care about (impressions, clicks, revenue, viewability…) and the dimensions to break them down by (line item, creative, deal, advertising product…), choose a date range, and the Lens renders tables and charts. Results can be exported to CSV.

Use the Lens for ad-hoc analysis; use the Reports API below when you need the same numbers inside your own systems.

Reports API (programmatic)

A single REST endpoint that returns campaign performance as JSON.

Base URL:

https://reports-api.das.ringpublishing.tech/{NETWORK}/v1

{NETWORK} is your numeric network id (for example 7012768).

Authentication

The Reports API uses the same header-based credentials as the ADP API. Add these headers to every request:

x-internal-auth-login: {CLIENT_LOGIN}
x-internal-auth-token: {CLIENT_TOKEN}
content-type: application/json

Example: impressions & clicks for a line item, per day

Ask for the daily impressions and clicks of a single line item over a week.

curl -X POST \
  -H "x-internal-auth-login: $CLIENT_LOGIN" \
  -H "x-internal-auth-token: $CLIENT_TOKEN" \
  -H "content-type: application/json" \
  "https://reports-api.das.ringpublishing.tech/7012768/v1/load" \
  -d '{
    "query": {
      "measures": [
        "campaign_overview.impressions",
        "campaign_overview.clicks"
      ],
      "dimensions": [
        "campaign_overview.line_item_id"
      ],
      "timeDimensions": [
        {
          "dimension": "campaign_overview.time",
          "dateRange": ["2026-06-01", "2026-06-07"],
          "granularity": "day"
        }
      ],
      "filters": [
        {
          "member": "campaign_overview.line_item_id",
          "operator": "equals",
          "values": ["980071"]
        }
      ],
      "timezone": "Europe/Warsaw"
    }
  }'

Response:

{
  "data": [
    {
      "campaign_overview.line_item_id": "980071",
      "campaign_overview.time.day": "2026-06-01T00:00:00.000",
      "campaign_overview.impressions": "124500",
      "campaign_overview.clicks": "318"
    },
    {
      "campaign_overview.line_item_id": "980071",
      "campaign_overview.time.day": "2026-06-02T00:00:00.000",
      "campaign_overview.impressions": "131980",
      "campaign_overview.clicks": "341"
    }
  ]
}

Each object in data is one row. Measures and dimensions come back keyed by their full name; a day-granular time dimension also returns a …time.day field.

Building your own queries

A query body has four parts:

• measures — what to count (e.g. campaign_overview.impressions, campaign_overview.clicks, campaign_overview.revenue).
• dimensions — how to break it down (e.g. campaign_overview.line_item_id, campaign_overview.creative_id).
• timeDimensions — the date range and bucketing (granularity: day, week, month…).
• filters — narrow the rows (operators: equals, notEquals, in, contains, …).

To discover exactly which metrics and dimensions are available to your network, call /meta:

curl -H "x-internal-auth-login: $CLIENT_LOGIN" \
     -H "x-internal-auth-token: $CLIENT_TOKEN" \
     "https://reports-api.das.ringpublishing.tech/7012768/v1/meta"

The response lists every queryable measure and dimension, with human-readable titles and descriptions.

Legacy report tasks (deprecated)

The previous reporting workflow — pre-defined report definitions submitted as asynchronous tasks (generate_report → task_id → poll → download) — is deprecated. It still works for existing integrations but will not receive new features. New integrations should use the Reports API above.

See Legacy report tasks for the old workflow.