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.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Mockaroo the way a machine reads it — 66 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 — Mockaroo scores 69.3/100 (strong), 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
How this is scored →scored 2026-07-27 · rubric v0.5
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.
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).
Mockaroo API
OPEN COLLECTIONPricing 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.
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
RATE LIMITSFinOps 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.
Mockaroo Finops
FINOPSFeatures 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.
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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
JSON-LDSpectral 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
SPECTRALMockaroo API Rules
SPECTRALJSON 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
JSON SCHEMAMockaroo Background Download
JSON SCHEMAMockaroo Field Spec
JSON SCHEMAMockaroo Field Type
JSON SCHEMAJSON 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
JSON STRUCTUREMockaroo Download Structure
JSON STRUCTUREMockaroo Field Spec Structure
JSON STRUCTUREMockaroo Field Type Structure
JSON STRUCTUREExamples 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.
Mockaroo Dataset Example
EXAMPLEMockaroo Download Example
EXAMPLEMockaroo Field Type Example
EXAMPLEMockaroo List Types Example
EXAMPLEScroll 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.
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.
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.
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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
Build 10
SDKs, sample code, and the tooling you integrate with
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Access & Security 2
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 5
Pricing, plans, and the legal terms of use
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