Strava, the fitness tracking app, is about to start charging developers for access to its API. The move comes as the company gears up for an IPO that could value it north of $2.2 billion.
The new flat monthly fee for API access represents the latest step in a broader strategy to lock down third-party data usage. Strava updated its API agreement back in November 2024 with stricter guidelines, and this pricing layer adds financial friction to what was previously a free gateway into one of the largest fitness datasets on the planet.
What changed and why it matters
The November 2024 update already restricted how developers could display data, limiting it to individual users only. It also explicitly banned the use of Strava data for AI or machine learning applications. Third-party apps were told they need to align with Strava’s own design and functionality standards.
Now the company is going further by attaching a price tag. The current rate limits, 200 requests per 15 minutes and 2,000 requests per day, remain unchanged. But free access is being replaced with a paid tier.
The IPO math
Strava filed confidentially for its IPO in early January 2026, with Goldman Sachs and JPMorgan leading the process. The company’s last known valuation was $2.2 billion, set during a funding round in May 2025.
Strava’s annual recurring revenue is estimated to be approaching $500 million, with premium subscriptions accounting for roughly 80-90% of total income. At a $2.2 billion valuation, that implies a revenue multiple of roughly 4.4x.
CEO Michael Martin has signaled that the IPO is meant to fuel growth and acquisitions, with a particular focus on capturing Gen Z users.
What this means for developers and the broader ecosystem
A flat monthly fee creates a floor cost that small developers may struggle to justify, especially if their tools serve niche audiences. The AI and ML ban is arguably even more significant. Fitness data is enormously valuable for health tech companies building predictive models, and Strava just slammed that door shut for external developers while presumably keeping it open for internal use.
The ban on AI and ML usage of Strava data is worth watching closely as a bellwether. As more companies head toward public listings, the question of who controls user-generated data, and who profits from feeding it into AI models, is becoming central to valuation narratives. Strava is essentially arguing that its users’ workout data is proprietary, and that no one else gets to train models on it without paying.
