Cryptographically verified repository authorship and timestamping for legal and audit evidence
Open-source API mock server for multiple protocols
Stage
Not given
Not given
Founded
Not given
Not given
Based in
US
US
Pricing model
Freemium
Freemium
Pricing
Community: Free. Pro Solo: $79 one-time (perpetual v1.x license) or $29/mo, $290/yr subscription. Team & Agency: $99/mo or $990/yr (up to 10 seats).
Free: $0/month with 10,000 requests/month and local mocks only. Pro: $29/month with 250,000 requests/month, 100,000 platform AI tokens/month, and 3 hosted mocks. Team: $99/month with 1,000,000 requests/month, 1,000,000 platform AI tokens/month, and unlimited hosted mocks. Annual plans include 2 mont
Key features
RFC 3161 notarization from DigiCert and Sectigo time stamp authorities
Merkle DAG provenance with SHA-256 tree hashing
FRE 902 self-authenticating PDF certificate generation
100% offline verification with open-source verifier
Automated Git hooks for pre-push cryptographic sealing
CLI and native Git plugin integration
CI/CD workflow automation for repository sealing
Dynamic SVG authorship badges for README files
Corporate entity binding and custom LLC configuration
Multi-protocol support (REST, gRPC, GraphQL, WebSocket, Kafka, MQTT and more)
Realistic data synthesis with template tokens and faker fields
Latency and fault injection for testing retries and fallbacks
Record and replay for capturing and replaying live traffic
Modern admin UI for managing servers, overrides and metrics
Configuration as code with OpenAPI specs and YAML
Local-first development without account requirement
CI integration with local endpoints
HTTP bridge exposing gRPC services over REST
BYOK AI integration with user provider keys
What makes it different
Cryptographic evidence under U.S. Federal Rules of Evidence 902 and 28 U.S.C. § 1746
Human authorship defense for copyright and M&A intellectual property verification
Fully offline and open-source verification with zero external dependencies
Enterprise-grade legal compliance for litigation and M&A due diligence
Multi-protocol mocking from one configuration file
Realism-first simulation with data synthesis and failure injection
Open source with permissive MIT or Apache-2.0 licensing
Local-first approach with optional cloud collaboration