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Gravatar

Gravatar (Globally Recognized Avatar) is a service that provides universally recognized avatars and rich identity profiles tied to email addresses via SHA256 hash. Developers can fetch user avatars, profile information, verified social accounts, and identity data using a REST API with API key or OAuth authentication. The service offers both a public avatar CDN (no auth required) and a REST API (v3) for profiles, avatar management, QR codes, and verified account lookups.

agent ready

Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.

Kin Score

API Evangelist profiles Gravatar the way a machine reads it — 37 machine-readable artifacts across 4 APIs, 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 — Gravatar scores 56.5/100 (developing), with a separate agent-readiness read of 48/100 (agent ready). 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 — 56.5/100 · developing
Contract Quality 16.7 / 25
Developer Ergonomics 8.3 / 20
Commercial Clarity 12.1 / 20
Operational Transparency 0.7 / 13
Governance 8.8 / 12
Discoverability 10.0 / 10
Agent readiness — 48/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile Gravatar

Each block below is one kind of artifact we hold for Gravatar. 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 4

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.

Gravatar avatars API

Operations about user avatars

Gravatar experimental API

Experimental operations that might be subject to change. Use with caution.

Gravatar profiles API

Operations about user profiles

Gravatar qr-code API

Operations about QR codes

GraphQL 1

Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.

GraphQL schemas published by this provider.

Gravatar GraphQL

Gravatar does not expose a native GraphQL endpoint. This schema is a conceptual GraphQL representation of the Gravatar REST API v3, derived from the public REST types documented...

GRAPHQL

Pricing Plans 1

Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.

Published pricing tiers and plan structures.

Plans

2 plans

PLANS

Rate Limits 1

Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.

Documented rate limits and quota policies.

Rate Limits

0 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.

Cost, billing, and metering signals for API financial operations.

Finops

FINOPS

Semantic Vocabularies 1

JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.

JSON-LD contexts and semantic vocabularies used across these APIs.

context Context

0 classes · 40 properties

JSON-LD

Spectral Rules 1

Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.

Gravatar API Rules

5 rules · 4 warnings

SPECTRAL

JSON Schema 11

Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.

Standalone JSON Schema definitions for this provider's data models.

AssociatedResponse

1 properties

JSON SCHEMA

Avatar

6 properties

JSON SCHEMA

CryptoWalletAddress

2 properties

JSON SCHEMA

Error

2 properties

JSON SCHEMA

GalleryImage

2 properties

JSON SCHEMA

Interest

3 properties

JSON SCHEMA

Language

4 properties

JSON SCHEMA

Link

2 properties

JSON SCHEMA

Profile

31 properties

JSON SCHEMA

Rating

0 properties

JSON SCHEMA

VerifiedAccount

5 properties

JSON SCHEMA

Scroll within the panel for all 11 ·

Examples 12

Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.

Example request and response payloads for these APIs.

Associatedemail

7 fields

EXAMPLE

Deleteavatar

7 fields

EXAMPLE

Getavatars

7 fields

EXAMPLE

Getprofile

8 fields

EXAMPLE

Getprofilebyid

7 fields

EXAMPLE

Getqrcodebysha256Hash

7 fields

EXAMPLE

Setemailavatar

7 fields

EXAMPLE

Updateavatar

7 fields

EXAMPLE

Updateprofile

8 fields

EXAMPLE

Uploadavatar

8 fields

EXAMPLE

Scroll within the panel for all 12 ·

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.

Gravatar Authentication

http/oauth2 · 2 schemes

SECURITY

Gravatar Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes are the vocabulary of least-privilege access. Profiling them shows exactly what an integration — or an agent acting on a user's behalf — is allowed to do.

OAuth scopes governing access to this provider's APIs.

Gravatar Scopes

3 scopes · implicit

3 scopes

SCOPES

Agentic Access 1

An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.

Recommended x-agentic-access execution contracts for AI agents.

Gravatar Agentic Access

12 operations · 5 acting

12 operations · 5 acting

AGENTIC

Resources

Every other property we hold for Gravatar — 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.

Get Started 2

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Build 3

SDKs, sample code, and the tooling you integrate with

Operate 1

Status, limits, changes, and where to get help

Commercial 3

Pricing, plans, and the legal terms of use

Company 1

The organization behind the API

Other 1

Properties that don't map to a standard resource type

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