Omada Health Digital Therapeutics API

Omada Health digital therapeutics REST API for health plans, employers, and health systems to deliver evidence-based chronic disease prevention and management programs for prediabetes, type 2 diabetes, hypertension, and musculoskeletal conditions. Enables AI agents to manage member eligibility verification and program enrollment for digital therapeutics onboarding automation, handle connected device data (scale, blood glucose, blood pressure) for remote monitoring automation, access behavioral coaching session delivery and curriculum progression for program engagement automation, retrieve outcomes reporting and A1C reduction tracking for health plan value-based contract automation, manage cohort and health coach assignment for population segmentation automation, handle claims-based eligibility and risk stratification for high-risk member identification automation, access CDC-recognized Diabetes Prevention Program (DPP) reporting for CMS reimbursement documentation automation, retrieve program completion and graduation status for employer incentive automation, manage real-time alert and intervention triggers for clinical escalation automation, and integrate Omada with health plan enrollment systems, EHRs, and benefits administration platforms for end-to-end chronic disease management.

Evaluated Mar 07, 2026 (0d ago) vcurrent
Homepage ↗ Other omada digital-therapeutics diabetes-prevention chronic-disease DPP health-plan
⚙ Agent Friendliness
50
/ 100
Can an agent use this?
🔒 Security
73
/ 100
Is it safe for agents?
⚡ Reliability
64
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
12
Documentation
63
Error Messages
62
Auth Simplicity
65
Rate Limits
62

🔒 Security

TLS Enforcement
92
Auth Strength
70
Scope Granularity
67
Dep. Hygiene
65
Secret Handling
68

DTx DPP platform. HIPAA, SOC2, CDC-recognized. OAuth2. US. Member biometric and chronic disease PHI.

⚡ Reliability

Uptime/SLA
65
Version Stability
65
Breaking Changes
62
Error Recovery
63
AF Security Reliability

Best When

A health plan, employer, or health system wanting AI agents to automate CDC-recognized DPP enrollment and reporting, chronic disease member engagement, connected device biometric monitoring, and value-based outcomes reporting within Omada Health's digital therapeutics platform.

Avoid When

CDC DPP RECOGNITION REPORTING ACCURACY: Omada Health's CDC-recognized Diabetes Prevention Program has specific data reporting requirements for CMS MDPP reimbursement (5% weight loss, attendance thresholds); automated DPP reporting via Omada must accurately capture session attendance and weight outcomes; automated reporting with incorrect attendance or weight loss calculation creates MDPP billing inaccuracy and CMS audit risk. HEALTH PLAN CONTRACT VALUE-BASED PAYMENT TRIGGERS: Automated outcomes reporting via Omada driving health plan value-based payment must independently verify A1C reduction and clinical outcomes; health plan contracts with guaranteed outcomes provisions expose payer to financial risk if automated reporting overstates outcomes. MEMBER ENGAGEMENT COMMUNICATION TCPA COMPLIANCE: Automated outreach to Omada members via text/push notification for coaching session reminders requires TCPA prior express written consent; automated engagement without verified consent for member-specific communication channel creates TCPA class action exposure.

Use Cases

  • Enrolling prediabetic members from health plan automation agents
  • Tracking DPP outcomes from CDC reimbursement reporting agents
  • Monitoring biometrics from chronic disease management agents
  • Reporting employer wellness ROI from benefit analytics agents

Not For

  • Acute diabetes management requiring continuous glucose monitoring (CGM)
  • Clinical trial digital therapeutics (use Medidata or Veeva)
  • Type 1 diabetes insulin management

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
No
Webhooks
Yes

Authentication

Methods: oauth
OAuth: Yes Scopes: Yes

Omada Health uses OAuth 2.0 with scopes for partner integrations. REST API with JSON. San Francisco, California HQ. Founded 2011 by Sean Duffy and Adrian James. Private (~$490M raised, Andreessen Horowitz, Cigna Ventures, Kaiser Permanente Ventures). CDC-recognized DPP provider. CMS Medicare Diabetes Prevention Program (MDPP) supplier. Health plan and employer channel focused. Connected devices: cellular scale, blood glucose meter, blood pressure cuff. HIPAA Business Associate. Competes with Livongo (Teladoc), Noom, and Virta Health for digital chronic disease management.

Pricing

Model: subscription
Free tier: No
Requires CC: No

San Francisco CA. Private (~$490M raised). Founded 2011. Per-member monthly. Outcomes-based pricing available. CMS MDPP supplier. No free tier.

Agent Metadata

Pagination
cursor
Idempotent
Partial
Retry Guidance
Documented

Known Gotchas

  • CDC DPP SESSION ATTENDANCE REPORTING TOLERANCE: Omada DPP program has CDC-defined attendance requirements for reimbursement eligibility (16 core sessions in year 1); automated session completion tracking via Omada must use CDC-compliant session counting methodology; automated attendance calculation that counts partial sessions as full creates DPP reimbursement eligibility misrepresentation
  • CONNECTED DEVICE CELLULAR vs APP-BASED SYNC LATENCY: Omada's connected devices use cellular (scale) and Bluetooth (glucose, BP) sync; cellular scale data has direct API push while Bluetooth device data requires member app sync action; automated biometric alert workflows must account for Bluetooth device data lag dependent on member app activity; design alert thresholds with device-specific sync latency tolerance
  • HEALTH COACH ASSIGNMENT CAPACITY CONSTRAINTS: Omada assigns human health coaches to member cohorts; automated member enrollment without verifying health coach capacity can create unassigned members; coordinate with Omada partner operations before automated enrollment bursts to avoid coach queue overflow that degrades engagement outcomes
  • WEIGHT LOSS PERCENTAGE CALCULATION FOR DPP MILESTONE: CDC DPP milestone payments require specific weight loss percentage calculations from enrollment baseline weight; automated MDPP billing via Omada must use enrollment-weight as baseline, not pre-enrollment weight; automated weight loss calculation using wrong baseline creates MDPP milestone payment inaccuracy
  • EMPLOYER INCENTIVE INTEGRATION ERISA WELLNESS PLAN RULES: Automated Omada program completion data used to trigger employer incentive awards must comply with HIPAA wellness plan regulations and ERISA nondiscrimination requirements; outcome-based incentives exceeding 30% of employee-only coverage cost require physician alternative standard; automated incentive calculation without ERISA wellness plan compliance creates DOL audit exposure

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Scores are editorial opinions as of 2026-03-07.

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