Pear Training Intelligence® API

Your platform. Our physical intelligence engine.

Stop building tracking infrastructure from scratch. The Pear Training Intelligence® API provides a secure, enterprise-grade programmatic layer that transforms fragmented biometric noise into clinical-grade, adaptive health journeys inside your native environment.

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In Brief
The Training Intelligence® API is a high-speed, multi-agent algorithmic platform designed to bridge the clinical blindspot. Built on Google’s enterprise agent architecture and engineered using the Model Context Protocol (MCP), the API provides third-party clinical platforms, digital health products, and enterprise health services with direct programmatic endpoints for multi-axis biometric ingestion, predictive load regulation, and automated lifestyle habit orchestration.

The Multi-Agent Brain via API

The Orchestration Root

The central master agent managing sub-agent routing and state telemetry context.

Physical Activity Endpoint Layer

Resolves text-based logs to canonical databases using multi-tiered fuzzy matching, returning confidence tiers and prescribing periodized workout matrices.

Behavioral & Nutrition Engine

Programmatic modules that ingest hydration targets, macronutrient data, and supplement-adherence timelines via structured database integrations.

Daily Wellness & Readiness Ingestion

Ingests optional, multi-axis variables including systemic fatigue, perceived stress, sleep duration, and biometric indicators.

Primary API Modules & Endpoint Capabilities

Onboarding & Intake Axis

Automates risk and baseline analysis — collecting activity history, goals, and health flags to generate a definitive multi-week physical roadmap.

Real-Time Ingestion & Streaming

Built on Server-Sent Events (SSE), a state-delta design broadcasts UI configuration signals before text streaming completes — instant feedback loops.

Algorithmic Recalculation

If acute physical load outpaces long-term baselines, the API injects microcycle deload adjustments to eliminate rigidity-induced program abandonment.

Programmatic Flow: Frictionless Data Telemetry

01

Your Native Platform UI

Ingests biometrics and daily check-ins in ≤90 seconds.

02

POST /api/journey/state

Executes token-efficient compaction via SSE.

03

Training Intelligence Core

Evaluates EWMA and AC workload tolerances.

04

JSON Payload Return

Updates the plan schedule and triggers a synthetic MePod broadcast.

Enterprise Security, Trust, and Compliance

Verified Provenance Trails

Every logged transaction uses explicit event-sourcing with secure source markers (PATIENT, DEVICE, CLINICIAN, AGENT_INFERRED) for absolute compliance visibility.

Clinical Guardrails & Input Validation

Built-in defenses sanitize payloads against prompt-injection attempts, tool-argument overflows, and out-of-scope clinical advice requests.

Regulatory Certifications

Built to meet HIPAA-grade operational standards, featuring SOC2 Type II validation and HITRUST framework compliance paths.

SOC2 Type IIHITRUSTHIPAA

Programmatically operationalize “Movement is Medicine.”

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Talk to our team about building on the Pear Training Intelligence® API.