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Suggestic

Suggestic is a personalized-nutrition and health platform that exposes a GraphQL API for building meal-planning, food-logging, and coaching applications. Developers use the API to create users, assign nutrition programs and diets, generate personalized meal plans, search a large recipe and restaurant database, log food (including AI photo-based logging), build shopping lists, and track sleep, steps, water, weight, heart rate, symptoms, biomarkers, and supplements. The platform also powers an AI Assistant with journeys and guardrails, a Console for configuration and webhooks, and a Telehealth/Coaching Portal. Suggestic (a Techstars-backed company) markets an enterprise AI offering for regulated health verticals and is HIPAA and SOC 2 Type II certified. Authentication is via a server-side API token plus an sg-user header, or client-side JWT bearer tokens.

agent aware

Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.

Kin Score

API Evangelist profiles Suggestic the way a machine reads it — 5 machine-readable artifacts across 1 API, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Suggestic scores 44.0/100 (thin), with a separate agent-readiness read of 39/100 (agent aware). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 44.0/100 · thin
Contract Quality 5.7 / 25
Developer Ergonomics 15.2 / 20
Commercial Clarity 6.3 / 20
Operational Transparency 6.8 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Regulatory · Health 7.2 / 15
Agent readiness — 39/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 6 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Suggestic

Each block below is one kind of artifact we hold for Suggestic. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 1

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

Suggestic GraphQL API

GraphQL API for personalized nutrition — users, programs/diets, meal-plan generation, recipe and restaurant search, food logging (incl. AI food log), shopping lists, health trac...

MCP Servers 1

Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.

Model Context Protocol servers that expose these APIs to AI agents.

suggestic-mcp.yml

MCP SERVER

Event Specifications 1

Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Suggestic Authentication

http/apiKey · 2 schemes

SECURITY

Suggestic Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Every other property we hold for Suggestic — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Build 3

SDKs, sample code, and the tooling you integrate with

Access & Security 3

Authentication, authorization, and security posture

Commercial 1

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

← All providers · Data indexed from github.com/api-evangelist/suggestic · machine-readable index on apis.io