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Mockaroo website screenshot

Mockaroo

Mockaroo is a realistic mock data generator and API mocking service used by developers and QA teams to produce JSON, CSV, TXT, custom-delimited, SQL, and XML test data. The platform combines a schema designer, 150+ built-in field types (Name, Internet, Address, Business, Date, Currency, Geographic, Phone, Health, Technology, and more), named datasets used as lookup sources, hosted mock APIs, formulas, projects, AI-assisted field generation, de-identification, and a REST API for programmatic generation. Mockaroo ships in four tiers (Free, Silver, Gold, Enterprise), with the Enterprise tier available as a Docker image for self-hosted, unlimited generation.

agent aware

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 Mockaroo the way a machine reads it — 75 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 — Mockaroo scores 52.9/100 (developing), with a separate agent-readiness read of 23/100 (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. Every facet and dimension name is a link: it opens that measurement's page on APIs.io, where the rating runs across the whole catalog — the exact checks that feed it, how every profiled provider distributes on it, and who is at the top of it.

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Composite quality — 52.9/100 · developing
Contract Quality 17.7 / 25
Access Clarity 11.3 / 20
Discoverability 7.6 / 10
Mockaroo Kin Score — API readiness rating by API Evangelist

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More shapes, themes and sizes → · Score as JSON · How badges work

How we profile Mockaroo

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

Mockaroo Datasets API

Manage named CSV datasets used as lookup sources.

Mockaroo Downloads API

Manage long-running background generation jobs.

Mockaroo Generate API

Generate mock data records on demand in multiple formats.

Mockaroo Types API

Discover available built-in field types.

Postman Collections 4

A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.

Ready-to-run Postman collections for exercising this provider's APIs.

Open Collections 6

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).

API Collection

OPEN COLLECTION

Mockaroo Datasets API

OPEN COLLECTION

Mockaroo API

OPEN COLLECTION

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 things the Kin Score reads for access clarity — renamed from commercial clarity in rubric 0.12, because a free statutory interface has access terms and no commercial ones.

Published pricing tiers and plan structures.

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.

Mockaroo Rate Limits

9 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.

Features 10

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.

Realistic Mock Data Generation

Generate realistic test records using more than 150 built-in field types spanning names, addresses, business, internet, dates, currency, geography, phone, health, and technology...

Multiple Output Formats

Export generated data as JSON, CSV, tab-separated TXT, custom delimiter, SQL INSERT statements, or XML.

Schema Designer

Design, save, and reuse schemas in the web UI, then call them by name from the REST API.

Datasets As Lookup Sources

Upload CSV or plain-text datasets and use them as lookup sources in schemas via the Dataset Column field type.

Mock APIs

Host mock REST endpoints that return generated records on demand, including configurable error conditions.

Background Generation

Submit large generation requests asynchronously and poll /api/downloads/{id} for status, progress, and the final download URL.

Formulas And Custom Functions

Transform generated values with reusable Mockaroo formula expressions and custom functions.

AI Field Generation

Generate field definitions and custom types using AI assistance in the schema editor.

De-identification

Anonymize sensitive datasets via Mockaroo's de-identification tooling.

Enterprise Docker Deployment

Run Mockaroo as a self-hosted Docker container inside a private cloud or datacenter for unlimited, organization-wide generation.

Scroll within the panel for all 10 ·

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.

Mockaroo Context

16 classes · 6 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.

Mockaroo API Rules

5 rules · 3 warnings

SPECTRAL

Mockaroo API Rules

10 rules · 7 errors · 3 warnings

SPECTRAL

JSON Schema 4

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.

Mockaroo Dataset

4 properties

JSON SCHEMA

Mockaroo Background Download

6 properties

JSON SCHEMA

Mockaroo Field Spec

4 properties

JSON SCHEMA

Mockaroo Field Type

4 properties

JSON SCHEMA

JSON Structure 4

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.

Mockaroo Dataset Structure

4 properties

JSON STRUCTURE

Mockaroo Download Structure

6 properties

JSON STRUCTURE

Mockaroo Field Spec Structure

4 properties

JSON STRUCTURE

Mockaroo Field Type Structure

4 properties

JSON STRUCTURE

Examples 14

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 14 ·

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.

Mockaroo Authentication

apiKey · 2 schemes

SECURITY

Mockaroo Domain Security

TLSv1.3 · DMARC

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.

Mockaroo Agentic Access

11 operations · 9 acting

11 operations · 9 acting

AGENTIC

Use Cases 6

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.

UI Prototyping

Power UI prototypes with realistic request/response data so design reviews surface real edge cases (long names, Unicode, blanks).

Load And Performance Testing

Generate millions of realistic records to populate staging databases for load and performance testing.

QA Test Data

Produce repeatable, schema-driven test data for automated test suites and continuous integration pipelines.

Demo And Sales Environments

Stand up demo environments with believable customer data without touching production.

Data Anonymization

Replace sensitive production data with statistically similar but synthetic records for safe sharing.

API Mocking

Front-end and integration teams hit Mockaroo-hosted mock APIs while back-end services are still under construction.

Integrations 10

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

Pre-built integrations with other platforms and tools.

Node.js

Official mockaroo-node Promise-based client for the Generate API.

.NET / C#

Community NMockaroo and Mockaroo.NET libraries.

Python

Community mockaroo-python wrapper.

R

Community mockaRoo package for the Generate API.

Java

Community mockaroo.api Java client.

MuleSoft

Community MuleSoft connector for invoking Mockaroo schemas.

Salesforce CLI

testdata sfdx plugin generates Salesforce test data via Mockaroo schemas.

Kafka

mockaroo2kafka scripts feed generated records into Kafka topics for streaming tests.

MCP

Community mockaroo-mcp MCP server exposes Mockaroo's generate surface to LLM agents.

Docker

Mockaroo Enterprise is distributed as a Docker image for self-hosted deployment.

Scroll within the panel for all 10 ·

Solutions 4

Packaged solutions the provider offers on top of the raw API surface.

Packaged solutions this provider offers.

Free

1,000 records per file, 200 API requests per day.

Silver

$60/year. 100,000 records per file, 1,000,000 records per day.

Gold

$500/year. 10,000,000 records per file, 10,000,000 records per day.

Enterprise

$7,500/year. Self-hosted Docker, unlimited generation, organization-wide access.

Resources

Every other property we hold for Mockaroo — 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 1

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Access & Security 2

Authentication, authorization, and security posture

Company 2

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/mockaroo · machine-readable index on apis.io

Where this information came from

This is an independent, third-party profile of Mockaroo, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.

Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.