Azumio

Azumio is an AI-driven digital health company whose consumer apps (Argus, Instant Heart Rate, Fitness Buddy, Glucose Buddy, Sleep Time, Calorie Mama) have been downloaded more than 100 million times. Beyond its apps, Azumio offers developer APIs and SDKs built on its deep-learning and digital-biomarker technology: the Calorie Mama Food Recognition API (identify food from a photo and return calories, macronutrients, and full nutrition), the Azumio 360 tracking API/SDK for diet, fitness and sleep, and diabetes-focused APIs including an AI Instant Diabetes Test biomarker and blood-glucose management. The flagship, publicly documented developer product is the Calorie Mama Food Recognition API, a 3scale-gateway REST API using API-key authentication.

Azumio publishes 1 API contract indexed on the APIs.io network: Food Recognition API. Tagged areas include Company, Health, Digital Health, Nutrition, and Food Recognition.

The Azumio catalog on APIs.io includes 1 Spectral governance ruleset.

Azumio’s developer surface includes documentation, API reference, signup flow, engineering blog, support, authentication, and 16 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

33.2/100 thin ▬ flat Agent 19/100 agent aware Front door AI 4/6 moderate saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract 1 Agent Skills

Company Health Digital Health NutritionFood RecognitionMachine Learning Artificial Intelligence Fitness Diabetes

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 33.2/100 · thin

Contract Quality 5.4 / 19

Developer Ergonomics 7.1 / 15

Access Clarity 5.1 / 15

Operational Transparency 0.0 / 10

Contract Governance 1.6 / 9

Discoverability 5.5 / 8

Regulatory Posture 2.8 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 19/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 0 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Health regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

10 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 28.8 — up to +17.8 composite points
Access Clarity scores 34.2 — up to +13.2 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/azumio/apis.yml: open an issue on github.com/api-evangelist/azumio to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
Health and Wellness (consumer health, fitness, wearables)	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

APIs 1

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

Azumio Food Recognition API

The Food Recognition API API from Azumio — 3 operation(s) for food recognition api.

Open Collections 1

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Calorie Mama Food Recognition API

OPEN COLLECTION

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

Recognize food in a photo with Calorie Mama

AGENT SKILL

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Azumio API Rules

45 rules · 43 errors 1 warnings 1 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Azumio Food Recognition Overlay

2 actions · update · azumio-food-recognition-openapi.yml

DERIVED

Security Posture 2

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

Azumio Authentication

apiKey · 1 scheme

SECURITY

Azumio Domain Security

TLSv1.3

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate

AgentSkill

LLMsTxt

WellKnown

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

Conformance

DataModel

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: azumio
name: Azumio
description: 'Azumio is an AI-driven digital health company whose consumer apps (Argus, Instant Heart Rate, Fitness Buddy,
  Glucose Buddy, Sleep Time, Calorie Mama) have been downloaded more than 100 million times. Beyond its apps, Azumio offers
  developer APIs and SDKs built on its deep-learning and digital-biomarker technology: the Calorie Mama Food Recognition API
  (identify food from a photo and return calories, macronutrients, and full nutrition), the Azumio 360 tracking API/SDK for
  diet, fitness and sleep, and diabetes-focused APIs including an AI Instant Diabetes Test biomarker and blood-glucose management.
  The flagship, publicly documented developer product is the Calorie Mama Food Recognition API, a 3scale-gateway REST API
  using API-key authentication.'
url: https://raw.githubusercontent.com/api-evangelist/azumio/refs/heads/main/apis.yml
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://azumio.com/favicon.ico
x-type: company
x-source: vc-portfolio
x-backed-by:
- felicis
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Health
- Digital Health
- Nutrition
- Food Recognition
- Machine Learning
- Artificial Intelligence
- Fitness
- Diabetes
tags_raw:
- Company
- Health
- Digital Health
- Nutrition
- Food Recognition
- Machine Learning
- Artificial Intelligence
- Fitness
- Diabetes
- API
- Machine-Learning
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- aid: azumio:azumio-food-recognition-api-api
  name: Azumio Food Recognition API
  description: The Food Recognition API API from Azumio — 3 operation(s) for food recognition api.
  humanURL: https://dev.caloriemama.ai/docs
  baseURL: https://api-2445582032290.production.gw.apicast.io
  tags:
  - Food Recognition API
  properties:
  - type: OpenAPI
    url: openapi/azumio-food-recognition-api-api-openapi.yml
  - type: Documentation
    url: https://dev.caloriemama.ai/docs
common:
- type: Overlay
  url: overlays/azumio-food-recognition-overlay.yaml
- type: Website
  url: https://azumio.com
- type: DeveloperPortal
  url: https://dev.caloriemama.ai
- type: Documentation
  url: https://dev.caloriemama.ai/docs
- type: APIReference
  url: https://dev.caloriemama.ai/docs
- type: SignUp
  url: https://dev.caloriemama.ai/signup
- type: Login
  url: https://dev.caloriemama.ai/login
- type: Blog
  url: https://azumio.com/blog
- type: Support
  url: mailto:support@azumio.com
- type: TermsOfService
  url: https://azumio.com/privacy-policy-and-terms-of-use
- type: PrivacyPolicy
  url: https://azumio.com/privacy-policy-and-terms-of-use
- type: Authentication
  url: authentication/azumio-authentication.yml
- type: Conventions
  url: conventions/azumio-conventions.yml
- type: ErrorCatalog
  url: errors/azumio-problem-types.yml
- type: Lifecycle
  url: lifecycle/azumio-lifecycle.yml
- type: Conformance
  url: conformance/azumio-conformance.yml
- type: DataModel
  url: data-model/azumio-data-model.yml
- type: X-MCPServerCandidate
  url: mcp/azumio-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/azumio-llms.txt
- type: WellKnown
  url: well-known/azumio-well-known.yml
- type: DomainSecurity
  url: security/azumio-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

Azumio API — frequently asked questions

Does Azumio have an API?

Yes. APIs.io lists 1 API from Azumio, including Azumio Food Recognition API.

Is there an OpenAPI specification for the Azumio API?

Yes. APIs.io indexes 1 OpenAPI specification for Azumio, each linked for download from this page.

How do I authenticate with the Azumio API?

Azumio uses bearer-token authentication (apiKey · 1 scheme). The details are profiled on APIs.io as Azumio Authentication.

Is the Azumio API ready for AI agents?

Azumio has a Kin Score of 33.2 out of 100 (thin) and an Agent Readiness score of 18.8 (agent-aware), scored by API Evangelist on 2026-11-06.

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