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FakerAPI

FakerAPI is a free, no-authentication REST API that returns realistic fake data for developers, designers, and QA engineers. Built on top of the PHP Faker library by Alessandro Pietrantonio, it exposes a uniform set of GET endpoints for addresses, books, companies, images, persons, places, products, texts, users, and a fully custom resource builder. Every endpoint accepts the same three control parameters (_quantity, _locale, _seed) and returns the same envelope, making it trivial to use for prototypes, mock servers, workshop fixtures, and integration tests.

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 FakerAPI the way a machine reads it — 65 machine-readable artifacts across 10 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 — FakerAPI scores 37.4/100 (thin), with a separate agent-readiness read of 32/100 (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 — 37.4/100 · thin
Contract Quality 17.0 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 10.4 / 12
Discoverability 10.0 / 10
Agent readiness — 32/100 · agent aware
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3

How we profile FakerAPI

Each block below is one kind of artifact we hold for FakerAPI. 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 10

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.

FakerAPI Addresses API

Generate fake postal addresses with geo coordinates.

FakerAPI Books API

Generate fake book records.

FakerAPI Companies API

Generate fake business records.

FakerAPI Custom API

Generate fake records with a caller-defined field schema.

FakerAPI Images API

Generate fake image references (titles, descriptions, URLs).

FakerAPI Persons API

Generate fake person profiles with nested addresses.

FakerAPI Places API

Generate fake geographic coordinates.

FakerAPI Products API

Generate fake product records with images.

FakerAPI Texts API

Generate fake titled text blocks.

FakerAPI Users API

Generate fake application user accounts.

Scroll within the panel for all 10 ·

Open Collections 1

Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.

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

FakerAPI

OPEN COLLECTION

Features 8

The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.

Notable capabilities this provider offers.

Ten Resource Collections

Addresses, books, companies, images, persons, places, products, texts, users, and a custom resource builder.

No Authentication

Every endpoint is open; no API key or registration required.

60+ Locales

Generate data in en_US, fr_FR, it_IT, ja_JP, and 60+ other locales via the _locale parameter.

Deterministic Seeding

Pass _seed to make payloads exactly reproducible across runs.

Up to 1000 Records Per Call

Tune _quantity from 1 to 1000 records per request, default 10.

Custom Schema Endpoint

/api/v1/custom accepts a caller-defined field map (e.g. name=name, email=email, phone=phoneNumber) and returns matching records.

Standard Response Envelope

Every endpoint returns the same {status, code, locale, seed, total, data} shape.

Free Forever

Service is described as Free, Forever with no published rate limits.

Scroll within the panel for all 8 ·

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.

Fakerapi Context

57 classes · 1 properties

JSON-LD

Spectral Rules 2

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.

FakerAPI API Rules

5 rules · 4 warnings

SPECTRAL

FakerAPI API Rules

35 rules · 19 errors · 14 warnings

SPECTRAL

JSON Schema 10

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.

Address

10 properties

JSON SCHEMA

Book

9 properties

JSON SCHEMA

Company

9 properties

JSON SCHEMA

Response Envelope

6 properties

JSON SCHEMA

Image

3 properties

JSON SCHEMA

Person

10 properties

JSON SCHEMA

Place

2 properties

JSON SCHEMA

Product

11 properties

JSON SCHEMA

Text

4 properties

JSON SCHEMA

User

11 properties

JSON SCHEMA

Scroll within the panel for all 10 ·

JSON Structure 10

JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.

JSON Structure definitions describing this provider's data shapes.

Fakerapi Address Structure

10 properties

JSON STRUCTURE

Fakerapi Book Structure

9 properties

JSON STRUCTURE

Fakerapi Company Structure

9 properties

JSON STRUCTURE

Fakerapi Envelope Structure

6 properties

JSON STRUCTURE

Fakerapi Image Structure

3 properties

JSON STRUCTURE

Fakerapi Person Structure

10 properties

JSON STRUCTURE

Fakerapi Place Structure

2 properties

JSON STRUCTURE

Fakerapi Product Structure

11 properties

JSON STRUCTURE

Fakerapi Text Structure

4 properties

JSON STRUCTURE

Fakerapi User Structure

11 properties

JSON STRUCTURE

Scroll within the panel for all 10 ·

Examples 10

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.

Scroll within the panel for all 10 ·

Security Posture 1

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.

Fakerapi Domain Security

DNSSEC

SECURITY

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.

Fakerapi Agentic Access

10 operations

10 operations · 0 acting

AGENTIC

Use Cases 7

What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.

What developers build with this provider.

Frontend Prototyping

Populate React, Vue, or Svelte mockups with realistic data without standing up a backend.

API Mocking

Use FakerAPI directly or as a fixture source for Microcks, Prism, MSW, or Postman.

QA Test Data

Generate deterministic test fixtures (via _seed) for automated browser and API tests.

Workshop and Training Fixtures

Hand learners a single URL to fetch sample data instead of provisioning per-student accounts.

Database Seeding

Seed development databases with thousands of fake users, companies, or products.

Internationalization Testing

Exercise i18n code paths with names, addresses, and phone numbers in 60+ locales.

Load Test Payload Generation

Pull large, reproducible JSON payloads to feed load generators.

Scroll within the panel for all 7 ·

Integrations 4

Pre-built integrations with other platforms tell you where this provider already fits in a stack.

Pre-built integrations with other platforms and tools.

PHP Faker

FakerAPI is a thin HTTP wrapper over the venerable PHP Faker library by François Zaninotto.

Postman / Insomnia

Trivially imported as a GET-only collection.

Microcks / Prism / MSW

FakerAPI payloads work well as fixture sources for HTTP mocking tools.

Frontend Frameworks

React, Vue, Svelte, Angular, and SolidJS all fetch FakerAPI JSON directly during development.

Resources

Every other property we hold for FakerAPI — 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.

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

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/fakerapi · machine-readable index on apis.io