Profile statistics

Aggregates derived from the matched event history. One read backs the whole profile screen.

Request

GET /v1/users/{user_id}/stats
X-PARTNER-API-KEY: <your partner key>

Response

{
  "total_events": 47,
  "total_venues": 23,
  "sports_count": 12,
  "concerts_count": 35,
  "first_attended": "2014-08-02",
  "most_recently_attended": "2026-06-13",
  "busiest_year": "2024",
  "top_season": "Summer",
  "top_artist": "Zach Bryan",
  "top_genre": "Country",
  "top_team": null,
  "top_league": null,
  "unique_venues": [
    { "venue": { "id": 4412, "name": "Madison Square Garden" }, "visit_count": 6 }
  ],
  "has_synced": true,
  "last_sync_at": "2026-08-25T18:44:12Z"
}

Reading it

Recomputed as media is ingested. Superlative fields are null when there is too little history to compute them. A brand-new user has total_events: 0 and nulls throughout, so design the empty state deliberately. first_attended and most_recently_attended are calendar dates at the venue, taken from the event’s local start time on the same basis as starts_at_local. Do not convert them. has_synced and last_sync_at are the two fields your sync logic reads at launch; see Incremental syncs. They are meaningful even for a user with no matched events at all. Before FanFeed has received anything for a user, has_synced is false and last_sync_at is null; that pair is the signal to run a full scan.

Getting started

Integration

Reference

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Response

Reading it

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