So it guesses — generic advice, shallow personalization, ChatGPT with a system prompt. Sahha hands your agent real, consented health context to reason over: scores, biomarkers, and behavioral signals, straight through the MCP server.
An agent that opens with “how did you sleep?” is just laundering the user’s memory back at them. With no passive grounding, every answer is generic and personalization is skin-deep — a demo, not a defensible product.
LLMs produce plausible health advice with no basis in the user’s actual physiology. Without real signals to retrieve over, you can’t make the agent specific or trustworthy — and in health, a confident wrong answer is a liability.
Chat agents wait to be prompted. The moments that matter — “your sleep’s slipped five days running” — need a passive signal stream and triggers, not another empty prompt box.
Expose scores, biomarkers, and archetypes to your agent as structured tools — no glue code.
Scores, archetypes, insights, tags, and biomarkers — grounding the agent can cite.
Read sleep, activity, and recovery from just a smartphone — context for every user.
New signals pushed as data lands — let the agent reach out the moment something changes.
Call the REST API or MCP server from any framework — OpenAI, Claude, Gemini, and more.
Explicit consent, and HIPAA, GDPR & SOC 2 compliance.
Two ways. The Sahha MCP server exposes scores, biomarkers, archetypes, and insights as structured tools your agent can call directly — works with OpenAI, Claude, Gemini, and any MCP-compatible framework. Or call the REST API yourself. Either way you can be grounding responses in real data within a day.
No. Sahha provides context and grounding — consented health signals and trends — not medical advice or diagnoses, and it is not a medical device. Your agent and the model behind it own every response; Sahha makes those responses specific and grounded rather than generic.
Retrieve over real signals instead of letting the model invent them. By giving the agent Sahha scores and biomarkers as tools and asking it to cite them, you anchor answers to data the user actually generated — and can surface the underlying signal alongside every claim.
No. Sahha reads data from the phone via Apple HealthKit and Google Health Connect, so your agent has context even for users who have never owned a tracker. A wearable adds precision when one is connected, but it is never required.
Data is collected only with explicit user consent, and users can revoke access at any time. The platform is HIPAA, GDPR, and SOC 2 compliant, and you control exactly what your agent can request and how it is used.
The Sandbox tier is free for 30 days with every product unlocked and up to 25 development users — enough to wire up the MCP server and build the workflows on this page before you talk pricing.
Spin up the sandbox, connect the MCP server, and let your agent reason over live scores, biomarkers, and behavioral signals.
Free for 30 days · All products unlocked
Adapt every workout to recovery, sleep, and readiness.
Tune meal plans to activity, sleep, and how users feel.
Recommend stacks that match what the body is actually doing.
Support GLP-1 journeys with daily behavior and recovery signals.
Track and lift employee wellbeing without survey fatigue.
Give clinicians continuous, between-visit health context.