Challenge
Replayed webhooks create duplicates
Agnotic approach
Signature verification plus idempotency keys so a re-delivered payload never double-writes.
Terra API
Terra API Integration Services
We integrate the Terra API — a multi-wearable aggregator that connects hundreds of devices and apps through one normalized interface. Real aggregation engineering: user-connection flows, webhooks, and PGHD-to-FHIR pipelines, not just a hello-world call.
Terra APIWebhooksFHIR R4OAuth2
Trusted by global innovators
What Terra API integration involves
Terra is a unified wearable-and-health-data API: instead of integrating Garmin, Fitbit, Oura, Whoop, Apple Health, and dozens more one at a time, you integrate Terra once and it normalizes activity, body, daily, sleep, and nutrition data into a consistent schema. Terra uses a widget or SDK user-connection flow, webhook delivery for new data, and REST endpoints for historical backfill. The normalized model is powerful, but its data categories and provider-specific gaps need to be understood.
As with any aggregator, success is downstream: verifying webhook signatures, processing deliveries idempotently, backfilling history without double-counting, and mapping Terra's normalized payloads into FHIR Observations your platform can trust. We build that pipeline so one Terra integration reliably powers a broad device footprint without per-provider maintenance.
Architecture
See how we turn a single Terra connection into a clean, consented, multi-wearable pipeline.
Common failure modes
Terra integration pitfalls — and how we handle them
Challenge
Backfill overlaps the live stream
Agnotic approach
Windowed de-duplication reconciling historical and real-time data.
Challenge
Provider gaps in a data category
Agnotic approach
Per-provider capability checks so product expectations match actual coverage.
Challenge
Normalized units need clinical mapping
Agnotic approach
UCUM units and LOINC codes applied when mapping to FHIR Observations.
Terra API Surfaces We Work With
We build against Terra's connection flow, webhooks, and normalized data model.
Terra connection flow
The Terra widget/SDK user-connection flow, provider linking, and connection-status handling wired end to end.
Normalized data model
Terra's activity, body, daily, sleep, and nutrition categories mapped into your schema.
Webhook signatures & idempotency
Signature-verified webhook receivers with idempotent processing and replay safety.
PGHD → FHIR Observation
Normalized payloads mapped to FHIR R4 Observation with LOINC codes and UCUM units.
Historical backfill
REST-based backfill of data predating the connection, de-duplicated against the live stream.
Where it runs
Terra workflows we build
Wellness & fitness apps
Broad wearable coverage for engagement features.
Digital health platforms
Multi-provider data feeding personalized insights.
Corporate wellness
Wearable data across a member population.
Coaching & DTx
Activity and sleep data driving coaching logic.
Clinical research
Consented multi-wearable data for studies.
RPM extensions
Consumer wearables supplementing clinical devices.
One API, a broad device footprint
Terra collapses dozens of wearable integrations into one well-engineered connection.
1
Integration for hundreds of devices
5–8 wk
Typical Terra integration go-live
100%
Signature-verified webhooks
Compliance-First Healthcare App Development Services Backed by Global Standards
15-Minute Scoping Call01
HIPAA
Health Insurance Portability and Accountability Act
Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.
02
GDPR
General Data Protection Regulation
Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.
03
FHIR
Fast Healthcare Interoperability Resources
Enable standardized health data exchange across apps, care teams, and systems through robust FHIR-ready APIs.
04
HL7
Health Level Seven International
Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.
05
HITRUST
Health Information Trust Alliance
Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.
06
HITECH
Health Information Technology for Economic and Clinical Health Act
Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.
07
SaMD
FDA Software as a Medical Device
Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.
08
MDR (EU)
Medical Device Regulation (European Union)
Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.
09
SAMHSA
Substance Abuse and Mental Health Services Administration
Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.
Standards we build against
Terra integration standards
FHIRLOINCUCUMWebhookHIPAA
Our Process
How we deliver Terra integration
A phased approach treating connection flow, webhook reliability, and FHIR mapping as parallel tracks.
1.
Discovery & Scope
We map Terra's data categories to your product needs and design the connection and consent model.
Consent-first design
2.
Sandbox & App Registration
Terra developer account, connection widget, and webhook validation against test data.
Sandbox-validated
3.
Build & Test
Signature-verified webhooks, backfill, de-duplication, and the normalized-to-FHIR mapping.
Idempotent by design
4.
Go-Live & Monitoring
Production go-live with webhook-delivery and connection-health dashboards.
Always monitored
Aggregator table
Terra data categories — what maps where
Terra normalizes providers into a small set of categories.
| Category | Contains | Typical use | Notes |
|---|---|---|---|
| Activity | Workouts, steps, HR | Fitness & engagement | Rich per-workout detail. |
| Daily | Daily summaries | Trends & dashboards | Good for longitudinal views. |
| Sleep | Sleep stages | Recovery & wellness | Provider coverage varies. |
| Body | Weight, HR, glucose | Vitals & RPM | Overlaps with device categories. |
| Nutrition | Meals & macros | Coaching apps | Provider-dependent. |
Provider coverage differs per category; we verify which providers supply the data you actually need.
Featured case study
Read Case StudyLera Health: compliant women's health platform
Related proof of compliant, integration-heavy delivery: the multi-source data layer we built for Lera Health reflects the same normalization discipline we bring to aggregated wearable data.
Why Partner With Us
15-Minute Scoping CallWhy teams trust us with Terra
We build Terra pipelines that scale to many providers without per-provider upkeep.
Compliance-First by Default
Consent, connection lifecycle, and audit trails built in from sprint one.
Real Aggregation Depth
We know Terra's normalized model and where provider-specific gaps hide.
Faster Go-To-Market
One Terra integration unlocks hundreds of devices in weeks.
Dedicated Product Teams
One accountable team owning connection, webhooks, and FHIR mapping.
Frequently Asked Questions
A first production Terra integration — connection flow, signature-verified webhooks, backfill, and FHIR mapping — typically runs 5–8 weeks. Because one integration covers hundreds of devices, most effort is in the pipeline rather than per-provider work.
Ready to connect hundreds of wearables through Terra?
Tell us your data categories and providers. We'll return a realistic pipeline plan.
contact@agnotic.com
Partnerships
contact@agnotic.com