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AI-MSL vs AgentStats

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

AI-MSL compared with AgentStats
DetailAI-MSL logo AI-MSLAgentStats logo AgentStats
What it doesAI-powered software development and maintenance service with expert governance and system intelligence See which AI agents use your product, where they fail, and what to fix
StageEstablished Startup
Founded2014 Not given
Based inUS Not given
Pricing modelPaid Free trial
PricingDevCredits pricing model where costs vary by change complexity. Monthly Continuous Software Readiness maintenance package covers routine updates and small enhancements. New features purchased individually as DevCredits or in discounted bundles: 200 DCs (save 5%), 500 DCs (save 10%), 1,000 DCs (save Free trial for 14 days. Starter: $15/month (2 projects, 50k events/month, 30-day retention). Growth: $49/month (5 projects, 500k events/month, 90-day retention, up to 5 team members). Scale: $149/month (25 projects, 5M events/month, 1-year retention, unlimited team members).
Key features
  • Continuous per-change delivery without sprint cycles
  • AppGraph system intelligence for persistent context
  • Five review gates with expert supervision
  • Full lifecycle management from requirements to deployment
  • Security and reliability controls with rollback capability
  • Pay-per-change DevCredit pricing model
  • Managed Kubernetes infrastructure with continuous improvement
  • Complete audit trail and full traceability
  • AI-assisted requirements and PRD generation
  • Automated testing, documentation, and deployment preparation
  • Monitor AI crawlers, website agents, MCP clients, APIs and CLIs
  • Real-time dashboard showing tool calls, errors, latency and client details
  • AI visibility: track what ChatGPT, Claude and Gemini say about your product
  • MCP server integration for agents to query your analytics data
  • SDKs for TypeScript, Python, Go, Rust, C#, Java, Swift and browsers
  • Identifies silent agent failures hidden from logs and APM
  • Never blocks request paths with background worker batching
  • Weekly or daily AI reviews depending on plan
  • Funnels, conversions and email alerts
What makes it different
  • No vendor lock-in with full code ownership and open platform model
  • Predictable costs and delivery estimates before implementation starts
  • Only platform showing silent agent failures that return 200 OK status codes
  • Covers six distinct data sources in one dashboard instead of scattered logs
  • Agents can access dashboard via MCP server to self-fix their failures
  • Installation takes five minutes with background worker approach never blocking request paths
  • AI visibility shows what AI models actually say about your product with claim verification
Community votes00
DR (Domain Rating by Ahrefs)53 no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)200
Citation Flow (Majestic)410
Referring domains (Majestic)4210

6 details filled in for both companies.

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