Generates realistic, relational synthetic test data via API for developers and AI agents.
Product memo
Developers and AI agents use MockHero to generate realistic, relational synthetic test data via API. It solves the problem of seeding databases with production-quality fake data that maintains referential integrity. The platform differentiates itself with over 156 field types, auto-locale detection, and plain English prompts, making it a broad tool for various testing needs.
For who
Developers and AI agents
Solves what
Generating realistic, relational synthetic test data via API
- Relational data generation
- 156+ field types
- Plain English prompts
In their own words
Realistic test data in one API call
Send a schema or plain English description, get back production-quality fake data with proper names, valid formats, and referential integrity.
Generate production-quality fake data with proper names, valid formats, and referential integrity.
Commercial cues
Model
subscription
Free tier
Yes
Trial
Available
Pricing Strategy
- • Free tier lowers testing friction.
- • Monthly plans keep buying commitment low.
Operator context
Operating setup
Founded
Mar 2026
HQ
Croatia
Platform
API
Audience
Developers
Payments
Polar
Detected via TrustMRR
Social footprint
Tech stack
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Solo Buildable
About MockHero Expand
MockHero offers a synthetic test data API designed for developers and AI agents who need to generate realistic, relational data. It addresses the common challenge of populating databases with high-quality fake data that maintains referential integrity across fields.
The platform stands out with its extensive library of over 156 field types, auto-locale detection, and the ability to use plain English prompts for data generation. This makes MockHero a valuable resource for testing, development, and AI training, ensuring data accuracy without compromising privacy.