Mockaroo API

Name: Mockaroo API
Brand: Mockaroo API
Availability: InStock

✓ Official Vendor SpecDeveloper ToolsTesting QaapiKey11 EndpointsREST

For Agents

Generate realistic synthetic test data in JSON, CSV, SQL, XML, or TXT formats and pull saved Mockaroo datasets and downloads.

Install Jentic One Beta

Connect the Mockaroo API to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Mockaroo API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Mockaroo API.

Generate fake data in JSON via /api/generate.json with a custom field schema

Generate the same dataset as CSV, SQL, TXT, or XML through /api/generate.csv, /api/generate.sql, /api/generate.txt, or /api/generate.xml

Run a fully custom format using a Mockaroo template at /api/generate.custom

GET STARTED

Start building with Mockaroo API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use Mockaroo API for, with concrete tasks.

★ Seed test data for a development database

Engineers seed a development database by POSTing a field schema to /api/generate.sql and capturing the returned INSERT statements, or by calling /api/generate.json and importing the result into the application directly. The same schema can be replayed across CI runs to give every environment a consistent baseline of synthetic data.

POST a 5-field schema to /api/generate.sql with count=500 and a target table name, capture the INSERT statements, and run them against the dev database.

Load testing fixtures

Performance engineers generate large CSV or JSON fixtures via /api/generate.csv and /api/generate.json to drive load tests against APIs and analytics pipelines. The format flexibility means the same logical dataset can be rendered for whichever ingestion path the load test exercises, without rebuilding the schema each time.

Call /api/generate.csv with count=10000 and a custom schema, save the response to fixtures.csv, and feed it to the load test runner.

Saved dataset replay for QA

QA teams reference a saved Mockaroo schema through /api/datasets/{name} so the same well-known fixture can be regenerated on demand for regression tests. Combined with /api/downloads/{id} for previously generated files, this gives QA a stable, reproducible test data surface across environments.

GET /api/datasets/'customer_baseline' to regenerate the saved customer dataset, and store the response under tests/fixtures/customer_baseline.json.

Agent integration via Jentic

An AI assistant building test harnesses can search Jentic for 'generate fake JSON test data', load the /api/generate.json schema, and execute the call without ever holding the Mockaroo API key. The agent can then write the response straight into a fixtures directory and trigger downstream tests.

Search Jentic for 'generate fake JSON test data', load the /api/generate.json schema, execute it for 50 records using the 'user' field set, and write the result to fixtures/users.json.

Key Endpoints

11 endpoints — mockaroo generates realistic synthetic test data on demand in json, csv, txt, sql, and xml formats so engineers can populate development environments, run load tests, or seed analytics pipelines without using real customer data.

METHOD

PATH

DESCRIPTION

GET

/api/types

List supported field types

POST

/api/generate.json

Generate JSON synthetic data

POST

/api/generate.csv

Generate CSV synthetic data

POST

/api/generate.sql

Generate SQL INSERT statements

POST

/api/generate.xml

Generate XML synthetic data

POST

/api/generate.custom

Generate output using a custom Mockaroo template

GET

/api/datasets/{name}

Reference a saved dataset by name

GET

/api/downloads/{id}

Retrieve a previously generated download

GET

/api/types

List supported field types

POST

/api/generate.json

Generate JSON synthetic data

POST

/api/generate.csv

Generate CSV synthetic data

POST

/api/generate.sql

Generate SQL INSERT statements

POST

/api/generate.xml

Generate XML synthetic data

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Mockaroo API keys are stored in the Jentic MAXsystem vault. Agents never see the X-API-Key value or the 'key' query parameter; Jentic injects the credential at execution time.

Intent-based discovery

Agents search Jentic for intents like 'generate fake JSON test data' or 'generate SQL insert statements' and Jentic returns the matching /api/generate.* operation with its input schema, including the field-type vocabulary.

Time to first call

Direct Mockaroo integration: a few hours to wire the API key, schema payload, and per-format endpoints. Through Jentic: under 30 minutes for the first call once the key is vaulted.

FAQs

Specific to using Mockaroo API through Jentic.

What authentication does the Mockaroo API use?

Mockaroo accepts an API key in the X-API-Key header or as the 'key' query parameter on each request. Through Jentic the API key is held in the MAXsystem vault and injected automatically; the agent never sees the raw key.

Can I generate SQL INSERT statements directly?

Yes. POST your schema to /api/generate.sql with the desired row count and table name and Mockaroo returns the INSERT statements ready to run against a target database. The same schema can be reused at /api/generate.json or /api/generate.csv to switch formats.

What are the rate limits for the Mockaroo API?

Limits are tied to the Mockaroo plan rather than the OpenAPI specification: the free tier permits 200 requests per day with up to 1,000 rows per call, and paid plans raise both ceilings. Confirm current limits at mockaroo.com/docs.

How do I generate JSON test data through Jentic?

Run pip install jentic, search Jentic for 'generate fake JSON test data', load the /api/generate.json schema, and execute it with your field schema and row count. Jentic injects the API key and returns the JSON payload to the agent.

Can I save a schema and reuse it across runs?

Yes. Save the schema under a name in the Mockaroo UI, then call GET /api/datasets/{name} to regenerate the same fixture on demand from the API. This is the recommended path for repeatable QA fixtures.

Is the Mockaroo API free to use?

Mockaroo offers a free tier capped at 200 daily API calls and 1,000 rows per call; higher volumes require a paid plan. Get started with Jentic at https://app.jentic.com/sign-up.

Mockaroo API

Connect the Mockaroo API to your agent

Capabilities

Start building with Mockaroo API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs