AgentStats vs Interlok

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

AgentStats compared with Interlok
Detail	AgentStats	Interlok
What it does	See which AI agents use your product, where they fail, and what to fix	Lockout/tagout for AI agents: risky actions stop, a person decides, and a signed record proves it
Stage	Startup	Not given
Founded	Not given	Not given
Based in	Not given	US
Pricing model	Free trial	Freemium
Pricing	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).	Free: risk scan, 100 approvals per month, offline verification. Approvals: $99/month, unlimited approvals. Gate: $799/month (includes Approvals). Evidence: from $18K/year. Regulated: from $40K/year.
Key features	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	Risk scan of agent reach, capabilities and consequences Policy-as-code for gating rules Shadow mode to preview holds before enforcement Human-in-the-loop approvals via console Cryptographically signed audit ledger Compliance framework packs Inference receipts for model calls GitHub merge check for agent-written PRs Directory sync with Okta or Microsoft Entra
What makes it different	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	Gates actions, not agents—routine calls pass through untouched Low published latency overhead: p50 8ms, p95 25ms for allowed verdicts
Community votes	0	0
DR (Domain Rating by Ahrefs)	Not checked yet no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	0	0
Citation Flow (Majestic)	0	0
Referring domains (Majestic)	0	0

5 details filled in for both companies.

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