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Bits Agent Builder

Agent platform

by Datadog

No-code builder for custom AI agents that investigate, decide and act inside Datadog to automate incident response, observability, security and operational workflows.

Find alternatives to Bits Agent Builder

Metered in Datadog AI credits at roughly 3 credits per manual or autonomous agent run; credits sold at $500 per 500 credits/month billed annually, or $1.30 per credit on-demand.

What it does

• Agent orchestration
• Workflow automation

Sources

Pricing

Pricing page · 3 Sep 2026

AI credits table lists Bits Agent Builder with a per-run credit rate.

Sold within

Official documentation · 29 Sep 2026

The AI Credits docs name Bits Agent Builder as metered in AI Credits (~3 credits per run), a separate line on a Datadog org's bill: "AI Credits are available to all Datadog customers except" FedRAMP or opted-out orgs.

Also from Datadog

• Agent Observability Developer tool

  Traces, evaluates and monitors LLM and AI-agent applications in production, with offline experimentation on datasets built from real traces.

• Bits Chat Application

  Conversational AI interface for querying Datadog metrics, logs, traces and monitors in natural language and generating dashboards and notebooks, accessible from Datadog, Slack or mobile.

• Bits Investigation AI agent

  AI SRE agent that autonomously investigates every alert the moment it fires, explores multiple root-cause hypotheses in parallel and reports findings into Slack, Jira, ServiceNow or GitHub.

• Bits Code AI agent

  Coding agent that triages production errors, regressions and vulnerabilities from Datadog telemetry, generates fixes with unit tests grounded in logs, traces and runtime variables, and opens pull requests for review.

• Bits Security Analyst AI agent

  Always-on AI SOC analyst that autonomously triages and investigates security alerts and delivers written investigation results to Datadog, Slack or Jira within minutes.

• Datadog MCP Server Developer tool

  Model Context Protocol server that gives AI coding agents such as Claude Code, Cursor and Codex secure real-time access to Datadog logs, metrics and traces under existing RBAC controls.

• AI Impact Application

  Detects AI-assisted pull requests from coding assistants such as Claude Code, Cursor and GitHub Copilot and compares them on adoption, PR throughput, cycle time, change failure rate and daily cost per active user.

• Watchdog Application

  Datadog's built-in AI engine: it continuously analyses metrics, traces and logs across the platform to raise anomaly alerts without configuration, detect faulty deployments by comparing code versions, run automated root-cause analysis on critical failures and surface tag-based insights and impact analysis. Available inside Infrastructure Monitoring, APM, Log Management and RUM rather than sold on its own.

• GPU Monitoring Application

  Datadog's Infrastructure-family product for shared GPU fleets across cloud, on-prem and neocloud providers: it links device health, cost and performance to the workloads and teams using them, alerts on unmet GPU requests, thermal throttling and ECC/XID errors, forecasts GPU demand and recommends optimisations such as reclaiming GPUs held by zombie processes. The page markets alerting, forecasting and recommendations but does not name a model or AI mechanism behind them.

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