MockForge vs Lens

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

MockForge compared with Lens
Detail	MockForge	Lens
What it does	Open-source API mock server for multiple protocols	Kubernetes IDE for managing clusters with governed AI agent access
Stage	Not given	Established
Founded	Not given	2015
Based in	US	US
Pricing model	Freemium	Freemium
Pricing	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	Personal: Free (for students, hobbyists, and small organizations under $10M revenue). Plus: $25/month with annual subscription ($300/year) or $30/month billed monthly. Pro: $25/seat/month with annual subscription ($300/year per seat) or $30/month. Enterprise: $50/seat/month with annual subscription
Key features	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	Multi-cluster management with real-time metrics and logs AI integration with Claude, Codex, and Copilot Helm Chart management and deployment Port forwarding and resource editor GitOps with Flux and Argo CD Security Center with CVE reporting AI Smart Terminal connecting to cluster context Lens Studio with split screen and tabs AWS EKS, Azure AKS, and Google GKE integration Agent identity and policy-controlled access
What makes it different	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 Deploy to cloud hosting with a single command	Used by over one million developers globally Local operation with no backends or cloud services required Enterprise compliance with SOC 2 Type 1 and ISO 27001 certification Developer-first design shaped around real workflows Governed AI agent access with full audit trails
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	9 no change since last check	70 no change since last check
Trust Flow (Majestic)	0	13
Citation Flow (Majestic)	17	41
Referring domains (Majestic)	7	1058

6 details filled in for both companies.

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