Export API

The Export API gives you your own 3RD data as JSON, so you can load it wherever the rest of your reporting lives — a warehouse, a BI tool, or a service like Funnel.io or Supermetrics that normalizes data across platforms. Every endpoint is a GET, returns JSON, and never writes anything.

OpenAPI specification

https://app.get3rd.com/api/export/v1/openapi.json — import this into your client generator or connector framework. It needs no API key, so your integration team can evaluate the API before you have an account.

Base URL

https://app.get3rd.com

What you can pull

Endpoint	One row per	What it tells you
`/api/export/v1/brands`	brand	The brands your key can read, and their ids
`/api/export/v1/visibility`	date × model × market	How often AI assistants mentioned your brand
`/api/export/v1/citations`	date × URL	Which pages the models cited, owned vs earned
`/api/export/v1/competitors`	date × competitor	The same visibility measure for each tracked competitor
`/api/export/v1/citation-share`	date × URL	Citations per URL, with how many were owned citations
`/api/export/v1/sentiment`	date	Positive, neutral, and negative mentions, their weights, and the day’s sentiment score
`/api/export/v1/recommended-rate`	date × entity	How often AI recommended your brand, and each competitor

Start with /brands — every other endpoint takes a brandId from it.

Matching the dashboard

/citation-share, /sentiment, and /recommended-rate return the rows behind the dashboard’s Citation Share, Brand Sentiment, and Recommended rate numbers. To get the number for a period, aggregate the rows. Averaging the daily values gives a different number.

/citation-share returns url, domain, is_owned, citations, and owned_citations for each date and URL. Citation Share for a period is sum(owned_citations) / sum(citations) × 100 — the same number the Overview card shows.
/sentiment returns positive_mentions, neutral_mentions, negative_mentions, positive_weight, negative_weight, and sentiment_score for each day. The score for a period is sum(positive_weight) / (sum(positive_weight) + sum(negative_weight)) × 100, not the average of the daily sentiment_score values. If a period has only neutral mentions, both weight sums are zero and the formula has no value, so guard against dividing by zero.
/recommended-rate returns entity_name, is_brand, recommended_rate, and judged_answers for each date and entity — your brand first, then each competitor. The rate for a period is not the average of the daily recommended_rate values. Data starts on September 22, 2026.

A first request

curl -H "X-API-Key: $THIRD_API_KEY" \
  "https://app.get3rd.com/api/export/v1/brands"

{
  "data": [
    {
      "id": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
      "name": "Acme",
      "url": "acme.com",
      "industry": "Retail",
      "createdAt": "2026-01-14T09:12:00.000Z"
    }
  ]
}

Then pull a metric for that brand:

curl -H "X-API-Key: $THIRD_API_KEY" \
  "https://app.get3rd.com/api/export/v1/visibility?brandId=3fa85f64-5717-4562-b3fc-2c963f66afa6&fromDate=2026-08-01&toDate=2026-08-31"

{
  "data": [
    {
      "date": "2026-08-31",
      "model_id": "gpt-4o",
      "provider": "openai",
      "market_id": "9c1f0b2e-4d7a-4f11-9a3e-8b6c2d5e7f10",
      "market": "Denmark",
      "total_prompts": 240,
      "visible_count": 96,
      "visibility_rate": 40.0
    }
  ],
  "pagination": { "pageSize": 1000, "hasMore": false, "nextCursor": null },
  "meta": {
    "brandId": "3fa85f64-5717-4562-b3fc-2c963f66afa6",
    "fromDate": "2026-08-01T00:00:00.000Z",
    "toDate": "2026-08-31T23:59:59.000Z",
    "plan": "pro"
  }
}

What is not on this API

Paid-placement (ads) performance. Ad data is available only through the MCP server today. It reads live from the ad platform over a fixed trailing 30-day window, so it cannot be backfilled into a warehouse.
Raw AI responses. The full answer text the models produced is available through MCP, not here.
Writes. Nothing in this API creates or changes data. Set up brands, prompts, and competitors in the app.

Authentication — creating and scoping a key
Pagination and history — paging through rows, and how far back you can read
Errors and rate limits
Looker Studio connector — a ready-made connector on the same API

Get started

Endpoints

Export API

OpenAPI specification

Base URL

What you can pull

Matching the dashboard

A first request

What is not on this API

OpenAPI specification

​Base URL

​What you can pull

​Matching the dashboard

​A first request

​What is not on this API

​Related

Base URL

What you can pull

Matching the dashboard

A first request

What is not on this API

Related