AI Agent Control Plane: Observability & Governance
Connect your AI agent to App Store data
Stage
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Founded
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Based in
IN
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Pricing model
Freemium
Freemium
Pricing
Free plan: $0/month with 50K events/month and 7-day retention. Team plan: $299/month with 2M events/month and 90-day retention. Business plan: $799/month with 10M events/month and 1-year retention. Enterprise plan: Custom pricing with volume pricing, custom retention, and unlimited policies.
Free tier: track rankings and competitors for one app with no card required. Grow plan: from $9.99/month per workspace, includes app integrations and MCP access. Investigate one app costs $9.99/month (up to three apps per workspace). Use LAUNCH code at checkout for 20% off while keeping the subscrip
Key features
Unified Agent Registry across LangChain, CrewAI, and OpenAI Agents SDK
End-to-End OpenTelemetry-native tracing with full execution visibility
Accurate cost tracking across 2,500+ models independent of trace sampling
PII and sensitive data detection with optional redaction and hard blocks
Prompt registry with versioning, comparison, and production label protection
Datasets, scorers, and experiment framework with evidence-attached promotion
Framework-agnostic design supporting dynamic agent identity and multi-agent systems
Real-time health scores and dashboard for agent performance monitoring
23 MCP tools for iOS app analysis
Keyword ranking history by storefront
Competitor tracking and keyword overlap inspection
Apple Ads campaign data integration
RevenueCat subscription and revenue snapshots
Read-only Apple Ads tools
Hosted MCP endpoint with remote access
What makes it different
Only platform that enforces policies mid-execution instead of alerting after the fact
Zero runtime overhead guardrail detection using passive span processor inspection
Accurate cost totals at any sampling rate through OTEL metrics per LLM call
Framework-agnostic and portable through OpenTelemetry-native SDK design
Enterprise-grade security with SOC 2 Type II and RBAC built in
Maintains separate data boundaries between sources to avoid false attribution
Separates missing ranks from measured drops in analysis
Connects paid and organic data with revenue context in one investigation