ExerciseDB

• List exercisesRead the catalogue, optionally narrowed to names matching some text.
• Search exercisesSearch when you do not know the exact words. The match is fuzzy across names, muscles, body parts and equipment, and results keep their relevance ranking, best first.
• Get an exerciseGet one exercise in full: its GIF, the muscle it targets, the muscles it also works, the body part, the equipment and every instruction step. Takes an exercise id or a name.
• Find an exercise by nameTurn an exercise name into its record without guessing. A name matching several exercises is refused with the candidates listed rather than resolved to an arbitrary one.
• Get how to do an exerciseGet one exercise's instructions, numbered and ready to send, with the demonstration GIF and the muscles worked alongside them.
• List exercises for a body partEvery exercise for one area of the body, matched exactly rather than fuzzily.
• List exercises for a muscleEvery exercise that works one muscle, either as the muscle it targets or, if you ask, as a supporting one too.
• List exercises for a piece of equipmentEvery exercise that uses one piece of equipment. Answers what can be done with only a kettlebell, or with nothing at all.
• Filter exercisesFind exercises matching several criteria at once. More values in one field widens the search, a second field narrows it, so chest or back with a barbell or dumbbell means exactly that.
• Get random exercisesDraw exercises at random, optionally from a narrowed pool. Set a seed to make the draw repeatable.
• Build a workoutPut together a workout spread evenly across the areas you name and limited to the equipment available, so six exercises over chest, back and legs gives two of each.
• Summarise the catalogueSee what the dataset holds: every body part, muscle and piece of equipment with how many exercises carry it, commonest first.
• List body partsThe ten areas of the body the dataset files its exercises under. These are the values the body-part filters accept.
• List musclesThe fifty muscles the dataset names, target and secondary alike.
• List equipmentThe twenty-eight kinds of equipment the dataset names, body weight among them.
• Check the API statusAsk the health check whether the service is up, to gate a longer workflow or to confirm the connection works.

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