Use cases
What people build
This is data infrastructure. We deliberately do not build training plans, workout tracking, gym CRM or coaching. Those are our customers’ products, and competing with them would be a strange way to run a data business.
Athlete apps
Build complete athlete profiles and competition histories.
One request returns a career spanning the Open, Quarterfinals, Semifinals and the Games, with the source's own rank and percentile per scope.
Fantasy & predictions
Power fantasy games and analytics using historical performance data.
Workout-level results across seasons give you form, consistency and event-type strengths, one workout at a time.
Gym software
Add affiliate discovery, athlete history and competition data.
Radius search over thousands of affiliate locations, and a gym-to-athlete link for every season where the source publishes an affiliate id.
Competition tools
Build leaderboards, score visualizations and result experiences.
Cursor pagination that stays fast at any depth, with canonical division keys so one query works across every season.
Sports analytics
Analyze seasons, countries, divisions and performances.
Region schemes are tagged per season, so you can tell a pre-2019 competitive region from a modern continental one before you aggregate.
AI applications
Give fitness applications structured historical competition context.
Stable schemas and stable identifiers, which matters when a model is going to cite what it reads.
Media
Build athlete research and statistical tools for CrossFit coverage.
Every record carries provenance, so a number that ends up on air can be traced back to the page it came from.
Plans from $15 a month.