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HealthcareLive · 2 actions

Canvas Medical API

Integuru generates a production-ready HTTP API for Canvas Medical, the modern EHR platform used by value-based primary care practices. The integration covers 2 actions for schedule retrieval and provider listing across multi-tenant subdomain deployments, enabling healthcare engineering teams to automate clinical scheduling workflows programmatically.

npm install -g integuru
Backed byY Combinator100 API calls/month free

2

Verified actions live today

<3 sec

Response latency per call

99.9%+

Reliability rate on generated APIs

24/7

On-call maintenance on Production plans

Integration facts

Authenticates against
https://<SUBDOMAIN>.canvasmedical.com/
Authentication
Login flows, including 2FA, handled by Integuru using your own Canvas Medical credentials.
Approach
Direct HTTP requests, with no browser automation or RPA involved.

Endpoints

Available actions

Click an action to expand its parameters

Don't see the action you need?

The actions above cover the most common Canvas Medical integration patterns, but they're not the full picture. Integuru can build additional workflows for any capability the platform exposes. Our Managed Service handles scoping, building, and maintaining custom actions on your behalf, so just let us know what you need.

Guide

Canvas Medical integration guide

Last reviewed: July 2026

Overview

Integuru's Canvas Medical integration provides production-ready HTTP API access to Canvas Medical, the modern value-based primary care EHR at <SUBDOMAIN>.canvasmedical.com, covering 2 actions: get_schedule for appointment and scheduling data retrieval, and list_providers for provider roster access. Integuru is HIPAA-compliant and signs BAAs at no additional cost. Calls complete in under 3 seconds with a 99.9%+ success rate via direct HTTP requests rather than browser automation.

Multi-tenant subdomain architecture. Canvas Medical deploys each practice on its own subdomain (<SUBDOMAIN>.canvasmedical.com). Integuru's Canvas Medical integration is configured per subdomain, so healthcare engineering teams working across multiple Canvas practices configure each instance separately. Integuru manages session authentication automatically once the subdomain is set.

Canvas Medical does not expose an official public developer API. Healthcare AI companies and clinical operations teams that need programmatic scheduling access have historically relied on manual workflows or brittle browser scripts. The get_schedule action returns appointment data filterable by date, location, provider, and cancellation status, making it suitable for scheduling automation, patient flow dashboards, and AI agent tooling. list_providers returns the full provider roster, which is the prerequisite lookup for any provider-keyed schedule query. Browse the full integrations catalogue for related Healthcare EHR platforms, or see the NextGen integration for another ambulatory scheduling platform.


Use Cases

Integuru's Canvas Medical integration covers the scheduling and provider lookup workflows that healthcare engineering teams need to automate.

  • Daily schedule retrieval: Call get_schedule with no parameters to pull today's full schedule across all providers and locations. Pass a date string to retrieve any past or future date's schedule.
  • Provider-filtered scheduling: Pass a provider_keys array to get_schedule to scope results to one or more specific providers. Pair this with list_providers to dynamically resolve provider keys before each schedule pull.
  • Location-scoped schedule access: Pass location_id to get_schedule to retrieve appointments for a single clinic location. Useful for multi-site practices where each location runs its own scheduling queue.
  • Canceled appointment tracking: Set show_canceled: true in get_schedule to include canceled appointments in the response. Relevant for no-show analysis, rebooking pipelines, and capacity reporting workflows.
  • Provider roster retrieval: Call list_providers with no parameters to retrieve all providers on the Canvas Medical instance. Returns the provider keys needed as input to get_schedule's provider_keys filter.
  • AI agent tooling: Both actions serve as lightweight read tools for clinical AI agents that need to answer scheduling queries or route patients to available providers without human-in-the-loop lookups.

Setup Notes

Integuru's Canvas Medical integration authenticates against https://<SUBDOMAIN>.canvasmedical.com/. Configure your practice's specific subdomain once during Integuru setup; Integuru manages session authentication automatically, including any session cookie flows required by the Canvas Medical login.

list_providers requires no input parameters. get_schedule accepts four optional parameters: date (defaults to today), location_id, provider_keys (array of strings), and show_canceled (boolean, defaults to false). The typical sequence for a provider-keyed schedule pull is: call list_providers first to retrieve valid provider keys, then pass those keys to get_schedule. All parameters for both actions are optional, so a bare call to either action returns the broadest available dataset for the authenticated account.

For multi-site Canvas Medical deployments, each practice subdomain is a separate Integuru integration instance. Full parameter documentation is available for actions marked with the docs badge in the action table above.

Guides in Healthcare

Platform API guides in this vertical

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Good to know

Before you start

Can I use it today?
Yes. Every action listed above has been verified against live Canvas Medical traffic. Install the CLI or sign in at app.integuru.com, connect your Canvas Medical account, and start calling the endpoints.
What if Canvas Medical changes or breaks?
On Production plans the Integuru team is on call around the clock, with auth auto-healing included, so target-platform changes get fixed by Integuru rather than by your engineers.
What does it cost?
Start on the Free plan at $0/month with 100 API calls/month. Production starts at $499/month with 24/7 on-call maintenance and auth auto-healing.

FAQ

Frequently asked questions