Generate realistic, schema-aware synthetic test data for any database schema. 50+ field types, AI prompt-to-schema, pre-built templates, JSON/SQL/CSV output.

Card Type Identifier API that provides secure validation with card brand, issuer, country, and type details—perfect for payment gateway security layers.

Unlock powerful analytics with the Card Type Detector API, providing vital data for informed financial decisions.

The Synthetic Data Synthetic Data MockHero API allows developers to generate diverse datasets while preserving privacy and compliance.

Enhance your data generation with MockHero's Schema Aware Data Generation API, ensuring data integrity and relevance.

MockHero’s Mock Data API simplifies creating placeholder data, perfect for testing and development needs.

Handle various documents smoothly with our Multi Document Type Check for MRZ and document numbers.

Edge case test data for QA and fuzz testing: Unicode, injection probes, boundary dates, float precision. 16 types, reproducible seeds, and every value explains what it breaks.

The Pokemon Data API provides structured and filterable access to Pokémon data, allowing users to retrieve information like names, types, stats, and evolutions through dedicated endpoints.

Use the Database Seeding Database Seeding MockHero API to populate your databases with quality test data, streamlining your development workflow.

The Pokemon Database API provides structured and filterable access to Pokémon data, allowing users to retrieve information like names, types, stats, and evolutions through dedicated endpoints.

Generate realistic test data effortlessly with MockHero's Test Data Generator API, enhancing your development process.

Effortlessly generate dynamic test data on demand using MockHero's Dynamic Test Data API, optimizing your testing process.

Create fully customizable fake data quickly using MockHero's Fake Data API, tailored to your project’s requirements.

Your ultimate solution for reducing memory usage, cutting storage costs, and enhancing application performance—all without the need to rewrite your existing business logic. With a single API call, you receive a comprehensive savings report detailing the optimization in bytes, KB, MB, or GB.

Canonical injection test strings for checking your own escaping: SQL tautology, XSS, path traversal, template injection. Harmless probes, not working exploits. Reproducible seeds.

Fuzz testing input data for validation layers: malformed strings, boundary values, control characters. 16 field types, reproducible seeds; each value explains what it breaks.

Malformed and hostile string test data for input handling: control characters, null bytes, encoding edge cases. Reproducible seeds, and every value explains what it breaks.

Unicode test data for internationalization testing: combining marks, bidi overrides, ZWJ emoji, homoglyphs. Deterministic seeds, and every value explains what it breaks.

Integer and floating-point edge cases: int32/int64 limits, NaN, infinity, denormals, and IEEE 754 rounding. Deterministic seeds, and every value explains what it breaks.

QA test fixtures and CI seed data with reproducible seeds, so pinned test runs return identical rows every time. 16 field types, each value explaining what it breaks.

Boundary value test data for off-by-one bugs: int32 and int64 limits, max-length strings, empty values. Deterministic seeds, and every value explains what it breaks.

Date and time edge cases: Feb 29, DST gaps, year 2038, leap seconds, and quarter-hour UTC offsets. Reproducible seeds, and every value explains what it breaks.

Instantly classifies support tickets into category, priority, sentiment, and response type. Returns structured JSON, ideal for helpdesks, CRMs, and customer support automation.

The Structured Data Validator API enables users to validate JSON-LD documents against schema.org standards, ensuring compliance with rich-result support.