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  • An AI-driven observability platform that analyzes logs, metrics, and traces for automated insights and root-cause analysis.
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    What is Klavis.ai?
    Klavis.ai is an enterprise-grade AI observability agent that unifies logs, metrics, traces, and events into a single AI-driven layer. It supports connectors for Prometheus, Elastic, Grafana, AWS CloudWatch and more. Teams can ask natural-language questions about system health, receive instant anomaly alerts, and get guided remediation steps. Its AI models correlate data across services to pinpoint failures, reduce alert noise, and proactively surface performance issues before they impact users.
    Klavis.ai Core Features
    • Natural-language querying of logs, metrics, and traces
    • AI-powered anomaly detection and alerting
    • Automated root-cause analysis
    • Remediation guidance and runbook recommendations
    • Integrations with Prometheus, Elastic, Grafana, CloudWatch
    • Customizable dashboards and reports
    Klavis.ai Pro & Cons

    The Cons

    No mobile app presence on Google Play or Apple App Store.
    Pricing details may require contacting sales for enterprise options.
    Limited information on potential performance or user limitations.

    The Pros

    Open-source infrastructure supporting Model Context Protocols for AI applications.
    Supports multiple popular programming languages for integration.
    Hosted MCP servers with high stability and reliability on dedicated cloud infrastructure.
    Secure OAuth and user-based authentication integration.
    Direct access to MCP servers through popular communication platforms like Slack and Discord.
    Streamlined API interface for easy integration and scaling.
    White-label OAuth support for customizable authentication experience.
    Klavis.ai Pricing
    Has free planNo
    Free trial details
    Pricing model
    Is credit card requiredNo
    Has lifetime planNo
    Billing frequency
    For the latest prices, please visit: https://www.klavis.ai/home/billing
  • TrustGraph AI builds and analyzes trust graphs to visualize relationships, detect risks, and ensure brand safety in real time.
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    What is TrustGraph AI?
    TrustGraph AI ingests data from multiple sources such as web crawlers, social media platforms, CRM systems, and spreadsheets. Its AI-driven engine processes content sentiment and connection metadata to build interactive trust graphs. Users can explore network structures, identify weak links or suspicious clusters, and assign configurable risk thresholds. Customizable dashboards display live metrics and alerts, enabling proactive brand safety management, fraud detection, and reputation monitoring across digital ecosystems.
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