Official vendor OpenAPI document · agent-readyHealthcareAppointment SchedulingapiKey13 EndpointsREST
For Agents
Invite, archive, and look up Everfit coaching clients, list training programs, and assign clients to programs and autoflows for coach automation workflows.
Use for: Invite a new client to my Everfit coaching account, Look up an Everfit client by email address, List all programs in my Everfit coaching library, Assign client 'cl_123' to the strength foundations program
Not supported: Does not handle workout execution, video calls, or payment processing - use for Everfit client lifecycle, program, and autoflow assignment only.
The Everfit API gives personal trainers and coaching businesses programmatic access to the Everfit fitness coaching platform. Thirteen operations cover authentication, inviting and archiving clients, looking up clients by ID or email, listing programs, and assigning clients to programs and autoflows. Authentication is via API key (originally exposed for Zapier-style automations), and the API is well suited to syncing client lifecycle events between Everfit and a CRM, an email marketing tool, or an internal coach assistant.
Install Jentic One Beta
Connect the Everfit API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Everfit API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
1
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Feverfit.io%2Feverfit" | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Feverfit.io%2Feverfit" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with Everfit API.
Authenticate against Everfit and obtain a session for subsequent calls
Invite new coaching clients to the platform via /invite-client
Archive and unarchive clients to manage active rosters
Look up client records by client ID or by email
List training programs available in the coaching account
Assign clients to a training program or to an autoflow sequence
Remove clients from autoflows when their programme ends
Use Cases
Patterns agents use Everfit API for, with concrete tasks.
★ Coach CRM Sync
Mirror Everfit client records into a CRM or email tool when clients are invited, archived, or unarchived, so commercial systems always reflect the current coaching roster. The /invite-client, /archive-client, and /unarchive-client endpoints provide the lifecycle hooks, and /clients/get-client-detail fills in the structured record. A working sync takes a day to wire up and runs continuously thereafter.
When a new client is invited via /invite-client, fetch their detail and upsert them into HubSpot as a contact tagged 'coaching client'
Programme Assignment Automation
Automate programme assignment so new clients are placed onto the right training programme or autoflow as soon as they pay for a package. The /programs and /programs/{programId}/assign-clients endpoints expose the canonical list and assignment action. Coaches save hours per week by removing the manual step.
Look up Everfit client by email captured from a Stripe checkout, then assign them to programId 'strength-foundations' via /programs/strength-foundations/assign-clients
Coach Activity Insights
Surface a daily report of which clients have been inactive longest by combining /clients/get-last-active with the client detail endpoint. Coaches can intervene proactively before a client drops off, improving retention. The report is generated in seconds per coach.
For every client returned by /clients/get-client-detail, fetch /clients/get-last-active and post a summary of the 10 longest-inactive clients to Slack
AI Agent Integration via Jentic
Wire Everfit to an AI assistant through Jentic so coaches can ask 'invite Sarah at sarah@example.com to my coaching' or 'who hasn't logged in this week?' in chat. Jentic search resolves the intent to the right Everfit operation and the vault holds the API key. The assistant is usable inside an hour of connecting Everfit.
Search Jentic for 'invite everfit client', load the POST /invite-client operation, and invite a new client with the email captured in chat
Key Endpoints
13 endpoints — the everfit api gives personal trainers and coaching businesses programmatic access to the everfit fitness coaching platform.
METHOD
PATH
DESCRIPTION
POST
/invite-client
Invite a new coaching client
POST
/archive-client
Archive a client
GET
/clients/get-client-detail
Get a client's detail record
GET
/search-client-by-email
Look up a client by email
GET
/programs
List training programs
POST
/programs/{programId}/assign-clients
Assign clients to a program
POST
/autoflows/{autoflowId}/assign-clients
Assign clients to an autoflow
POST
/invite-client
Invite a new coaching client
POST
/archive-client
Archive a client
GET
/clients/get-client-detail
Get a client's detail record
GET
/search-client-by-email
Look up a client by email
GET
/programs
List training programs
POST
/programs/{programId}/assign-clients
Assign clients to a program
POST
/autoflows/{autoflowId}/assign-clients
Assign clients to an autoflow
Jentic AI Readiness Score
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
E
Everfit API
- AI-Aware (B)66/100
100
Foundational Compliance63
Developer Experience & Jentic Compatibility47
AI-Readiness & Agent Experience94
Agent Usability50
Security100
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
100
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: A+Signals: 4
98%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
100%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
100%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
63
Developer Experience & Jentic Compatibility
Clarity, completeness, and ingestion readiness for developers and tooling.
Grade: B-Signals: 4
0%
Example Density
How richly the API is illustrated with examples.
100%
Example Validity
Percentage of examples that conform to their schemas.
50%
Response Coverage
Percentage of operations with complete response definitions (success, client error, server error).
100%
Tooling Readiness
Health of API ingestion, bundling, and resolution within Jentic pipelines.
47
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: D+Signals: 4
47%
Description Coverage
Coverage of descriptions across API elements.
0%
Error Standardization
Coverage of RFC 9457 Problem Details for error responses.
92%
OperationId Quality
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
50%
Summary Coverage
Coverage of summaries across operations/tags/info.
94
Agent Usability
Functional utility, complexity comfort, and AI orchestration readiness.
Grade: A+Signals: 1
94%
Complexity Comfort
Agent comfort level based on API operational and structural complexity.
50
Security
Trust, risk posture, and security compliance.
Grade: C-Signals: 1
50%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
100
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: A+Signals: 1
100%
Descriptive Richness
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
Wiring Everfit by hand means learning its API key in the Authorization header, pointing at the zapier-api.everfit.io base path, and coding the client, program, and autoflow calls yourself. Through Jentic you install once, import the Everfit API from the API Directory, store the key once, and your agent calls it.
Permission scoping
Everfit puts the program and autoflow id in the URL path (/programs/{programId}/assign-clients), so a rule can pin your agent to one program or autoflow for assignments. You choose the operations it may call, so an action like archiving a client is not included unless you add it.
Credential isolation
Your Everfit API key is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'invite an everfit client' or 'assign clients to a program', and Jentic returns the matching Everfit operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using Everfit API through Jentic.
What authentication does the Everfit API use?
The Everfit API uses an API key. The /auth endpoint exchanges credentials for a session used by subsequent calls. Through Jentic, the API key sits in the encrypted vault and is injected at execution time so it never enters the agent's prompt.
Can I invite new clients through the Everfit API?
Yes. POST /invite-client invites a new coaching client to the account. Combine with /search-client-by-email to verify the invite landed and with /clients/get-client-detail to confirm the record is created.
What are the rate limits for the Everfit API?
The OpenAPI spec does not declare explicit rate limits. The Zapier-style API is not designed for high-frequency polling; back off on HTTP 429 and avoid tight loops in production code.
How do I assign a client to a program through Jentic?
Search Jentic for 'everfit assign client to program', load the POST /programs/{programId}/assign-clients operation, and execute it with the program ID and client list. Install with pip install jentic and use the async search, load, execute pattern.
Does the Everfit API support managing autoflows?
Yes. /autoflows/{autoflowId}/assign-clients assigns clients to an autoflow and /autoflows/{autoflowId}/remove-clients removes them. This is the right surface for onboarding sequences and re-engagement journeys.
Can I archive and unarchive clients via the API?
Yes. POST /archive-client archives a client and POST /unarchive-client reverses it. This is useful for managing seasonal coaching engagements without losing the client's history.
Can I limit what my agent is allowed to do with the Everfit API?
Yes. Jentic One is self-hosted, so your own rules decide which Everfit operations and credentials the agent may use. You pick the operations it can call, so read-only actions like /search-client-by-email or /clients/get-client-detail can be allowed while /archive-client stays off unless you add it. Because Everfit puts the program and autoflow id in the URL path, such as /programs/{programId}/assign-clients, a rule can also pin the agent to a single program or autoflow for assignments.
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