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Agent Bricks

Agent platform

by Databricks

A control plane for building, evaluating, governing and monitoring AI agents across proprietary and open-source models, with native MCP support.

Find alternatives to Agent Bricks

Has its own pricing page but no independent rate card during beta: billed at the existing rates of the underlying products and models it invokes, plus a separate beta-pricing section whose figures render client-side and were not readable.

What it does

• Agent orchestration
• Evaluation and observability

Sources

Pricing

Pricing page · 2 Sep 2026

Rate table is JS-rendered; only the billing-model description was verifiable.

Description

Official documentation · 2 Sep 2026

Sold within

Pricing page · 29 Sep 2026

Its own per-plan (Premium/Enterprise) rate card (Knowledge Assistant $0.150 / Answer; Supervisor Agent $0.070 / DBU) is billed as a SKU of the platform account: "Charges for the Supervisor will appear on your bill under the Serverless Real-time Inference SKU (or under the Model Serving SKU on SAP Databricks)." The product page adds "Agent Bricks is billed at existing prices for the underlying products used."

Also from Databricks

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• Databricks Model Serving Model API

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• Databricks Model Training Developer tool

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• Databricks AI Platform

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• Databricks Data + AI Platform Platform

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• AI/BI Application

  AI-native business-intelligence product comprising AI/BI Dashboards (AI-assisted dashboard/visualization creation) and Genie Spaces (conversational natural-language exploration of data), built into the Databricks Data + AI Platform with Unity Catalog governance and no per-seat licensing.

• Genie One Application

  AI coworker (the evolution of the earlier Databricks Assistant/Genie) that lets business users ask questions, take action and drive outcomes over enterprise data via natural language, integrating with Slack, Teams, Jira, Google Drive and Salesforce, with mobile apps.

• Unity Gateway Infrastructure service

  Enterprise AI gateway providing centralized cost tracking/budgets, model access (Claude, GPT, Gemini, Grok and others), security/governance (access policies, PII/PHI filtering, audit trails), smart routing and observability across an organization's AI systems.

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