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    • A
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      Enables natural-language investigation of Datadog data including logs, metrics, monitors, traces, hosts, dashboards, events, and incidents, all through read-only API access.
      14
      1,876 npm
      MIT
    • A
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      Enables agents to answer analytics questions with provable correctness by resolving metrics through the semantic layer, tracing lineage, traversing knowledge graphs, checking freshness, and searching glossary definitions, while enforcing access controls and logging every call.
      MIT
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      Enables monitoring and management of Apache Cassandra and DataStax Enterprise clusters through the DataStax OpsCenter API, providing tools for cluster metrics, node monitoring, schema access, and event tracking.
      1
      MIT
    • A
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      Enables AI agents and their users to ask business questions in plain language and receive governed metric values, breakdowns, share-of-total figures, and the exact parameterized SQL behind them, drawn from a single semantic model rather than ad-hoc SQL. It also lets clients inspect available metrics and their definitions, and preview optimized queries without executing them.
      4
      MIT
    • A
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      Enables AI assistants to interact with DataDog's observability platform through a standardized interface. Supports monitoring infrastructure, managing events, analyzing logs and metrics, and automating operations like alerts and downtimes.
      1
      MIT
    • A
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      Enables AI assistants to interact with Datadog's observability platform via natural language, covering metrics, logs, APM, monitors, dashboards, incidents, and infrastructure.
      2,313 npm
      1
      MIT