The User Agents API is a comprehensive solution for generating realistic and diverse user agents for your website or application. With advanced algorithms, it creates user agents that mimic real browsers and devices, ensuring that your requests are not detected as suspicious or blocked.

The User Agent Builder API allows developers to create and customize user agent strings for web scraping, testing, and automation. Generate realistic and varied user agent strings to mimic different browsers and devices, ensuring better performance and evasion of anti-bot measures.

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.

"Elevate applications and simulations with a versatile, randomized user profile generator for authentic testing and development."

Test a regular expression against an input text and get every match with capture groups and named groups. Patterns run in an isolated worker with a hard time limit, so catastrophic patterns are stopped safely.

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

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

The AI Text Checker API utilizes sophisticated algorithms to differentiate between human-written and AI-generated text, thereby verifying authenticity and ensuring trustworthiness in textual content.

The AI Text Validation API employs advanced algorithms to distinguish human-authored text from AI-generated content, ensuring authenticity and fostering trust in textual information.

The Automatic Keyword Generator API instantly creates relevant and diverse keywords, optimizing content for search engines and expanding reach.

Run automated WCAG accessibility audits on any web page. Detects violations, warnings, and best practices for ADA and EAA compliance.

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.

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

Evaluate web performance by measuring server-client metrics, detect common issues, and generate detailed automatic optimization suggestions.

Algorithmic Text Discrimination API involves deploying rule-based and machine learning methods to distinguish between model-generated and human-generated content for reliable online interactions.

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.

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.