Built for the People
Who Wear Your Device
Your Device Knows How You Feel. Now It Knows What To Do.
Most wearables stop at the data. Mynd Sync goes further. When your body signals stress, a precisely matched meditation responds — calibrated to your autonomic state in that exact moment. Not a generic playlist.
A nervous system intervention. Used consistently, it builds real vagal tone and autonomic resilience. Users stop watching their numbers. They start changing them.
A Differentiated Product, Without the R&D
Turn Recovery Scores Into Recovery Outcomes.
Wellness features are expected. Nervous system training is a category of its own. Mynd Sync adds a clinically grounded content layer to your platform — no science team, no content pipeline to build.
Your device graduates from reporting stress to actively resolving it. A behavioural context layer filters false biometric readings, improving accuracy and reducing churn. Clean integration. Scalable pricing. A story your competitors can’t tell.
API Functionality
One Integration. Three Powerful Surfaces.
The Mynd Sync REST API exposes three surfaces designed to fit directly into your existing data pipeline. The Content API lets your platform query a structured library of audio and video meditation content, filterable by autonomic nervous system state (sympathetic-dominant, transitional, parasympathetic-dominant), technique, duration, and delivery context. Every content object returns a biometric_trigger field — a plain-language threshold expression like hrv_rmssd < 35 — so your engineering team can match sensor output to content without building proprietary logic.
The State Inference API accepts raw biometric readings directly from your device and returns a state classification with confidence score and a matched content recommendation in a single POST call. A Webhook API handles passive background triggering for platforms syncing via Apple Health or Android Health Connect. Authentication is API-key based with tiered rate limits, and content is served via CDN with signed URL support. Direct integration paths are available for Garmin, Fitbit, Oura, Whoop, and Samsung Health.
Biometric-native filtering. Every content object carries a biometric_trigger field — a ready-to-use threshold expression your device can evaluate directly against sensor output. No interpretation layer to build on your side.
State Inference in a single call. POST raw HRV and heart rate data to /v1/state/infer and receive a classified autonomic state, a confidence score, and a fully matched content recommendation — audio URL, duration, technique, and reasoning included.
Passive triggering via health platforms. The Webhook API integrates with Apple Health and Android Health Connect batch-sync pipelines, so recommendations surface automatically in the background — no user-initiated session required.
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