How much does Brewit cost?

Growth (unlimited members, 2,000 messages a month, 5 data sources, 5 workbooks up to 5GB) and Enterprise (unlimited editors, messages and data sources, API access, invoicing, white labeling); both by contact, no prices published.

What are the best alternatives to Brewit?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Brewit among data analyst agents are BlazeSQL, Actian AI Analyst, Athenic AI, Defog.ai. Each is graded on the same public evidence, and no vendor pays for placement.

Does Brewit support MCP and tool calling?

Partial under the Agentic Index verification standard. Brewit publishes some public evidence of tool calling and API or SDK extensibility, but narrower than full Model Context Protocol (MCP) support as defined by the Agentic Index taxonomy. Evidence basis: An API at api.brewit.ai/v1 with workspace API keys is documented, and API access sits on the Enterprise plan. The reference lists only a JWT endpoint for embedding the chat agent; no endpoints to query or manage the platform, SDK or MCP ser. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Brewit have SOC 2, SSO and role based access control?

Partial under the Agentic Index verification standard. Brewit publishes some public evidence of security and identity controls, but narrower than the full set of SOC 2, single sign on (SSO) and role based access control (RBAC). Evidence basis: Access controls are documented: Owner, Admin and Member roles with a permissions table over chat, charts, data sources and workspace settings, plus table and column visibility. The Security page points to AWS's audits and certifications and. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Brewit give you tracing and observability into agent runs?

Partial under the Agentic Index verification standard. Brewit publishes some public evidence of logging or observability, but narrower than full tracing and auditability across agent runs. Evidence basis: Chat shows the SQL Brewit wrote and the tables it used, and Monitoring lists all conversations on a data source with chat history and team feedback. No audit log, step trace or export of what the agent ran is documented. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Back to vendors

Brewit

Visit site

Data analyst agentindependentVerified 2026-09-28

Entry priceContact sales (Growth and Enterprise plans, no prices published)Full pricing detail

Brewit is a conversational data analyst that writes SQL and recommends charts from plain language questions over a data catalog of the customer's database, with notebooks, dashboards, an evaluation harness and an embeddable chat agent.

Brewit lets people ask business questions in plain language and answers with SQL, charts and Notion style notebooks and dashboards. It connects to PostgreSQL, MySQL, BigQuery, Snowflake, SQL Server and Databricks, optionally over an SSH tunnel, plus CSV files and a Brewit hosted workbook database.

Answers draw on a data catalog of table and column descriptions and visibility settings, sampled distinct values and a query library of verified SQL, retrieved through a RAG framework that the docs say handles hundreds of tables. An Evaluation feature runs sets of test questions against the database so the team can verify the generated SQL and answers, and Monitoring shows every conversation on a data source with feedback. The chat agent can be embedded in the buyer's own application for its customers, authenticated by JWT. Workspaces have Owner, Admin and Member roles.

Brewit runs on AWS and uses the OpenAI API (GPT-4), sending metadata rather than data; hosting in a customer's own cloud is described as coming. Pricing is by contact for a Growth plan and an Enterprise plan with API access and white labeling. The most recent public changelog entry is dated 18 June 2024.

Vendor details

Canonical URL

https://brewit.ai

Company status

independent

Use cases & customers

Integrations

Databases: PostgreSQL, MySQL, BigQuery, Snowflake, Microsoft SQL Server, Databricks (SSH tunnel supported), CSV and a hosted workbook database. Embeddable chat agent with JWT authentication; API at api.brewit.ai (Enterprise).

In practice

A marketing lead asks which campaigns drove the most qualified pipeline last quarter, and Brewit writes the SQL against the warehouse, returns a chart and lets her drill further in a notebook.

A data team documents tables and columns in the data catalog, saves verified queries to the Query Library and runs a set of test questions through Evaluation before opening Brewit to the wider company.

A software company embeds the Brewit chat agent in its product so its customers can ask questions of their own data, signing each session with a JWT.

Agentic Index coverage score

6.5 / 14 capabilities · 46%

Integrations & Tool Calling	Partial
Brewit connects to PostgreSQL, MySQL, BigQuery, Snowflake, SQL Server and Databricks (optionally over an SSH tunnel), plus CSV and a hosted workbook database, and writes and runs SQL against them. The connectors are databases only, and no action in other systems or custom tool is documented. SourceBrewit, docs.brewit.ai Integrations pagesread 2026-09-28
Workflow Orchestration	Partial
The chat agent clarifies large requests, writes and runs SQL and recommends charts, and notebooks assemble reports and dashboards, which is the product's own sequence. No branching, conditions, multiple agents or flow the buyer configures is documented. Sourcedocs.brewit.ai/docs/data-agent/best-practices/large-databasesread 2026-09-28
Knowledge Grounding & RAG	Full
A data catalog holds table and column descriptions, types and visibility settings, a Distinct Values feature samples string values, and the homepage describes an automated semantic layer for business logic; the Best Practices docs state a RAG plus LLM framework that handles hundreds of tables without token limits. Sourcedocs.brewit.ai/docs/data-agent/train/data-catalogread 2026-09-28
Human Oversight & Guardrails	Partial
Admins set table and column visibility in the data catalog, only owners and admins manage data sources, and the agent asks clarifying questions before large queries to limit cost. No step where a person approves a query before it runs is documented. Sourcedocs.brewit.ai/docs/workspace/access-controlread 2026-09-28
Security, Identity & Governance	Partial
Access controls are documented: Owner, Admin and Member roles with a permissions table over chat, charts, data sources and workspace settings, plus table and column visibility. The Security page points to AWS's audits and certifications and names none of Brewit's own; encryption in transit and at rest is stated, and no SSO is documented. Sourcedocs.brewit.ai/docs/others/securityread 2026-09-28
Observability & Auditability	Partial
Chat shows the SQL Brewit wrote and the tables it used, and Monitoring lists all conversations on a data source with chat history and team feedback. No audit log, step trace or export of what the agent ran is documented. Sourcedocs.brewit.ai/docs/data-agent/monitorread 2026-09-28
Memory & State Persistence	Partial
Users save verified queries with titles and descriptions to a Query Library that the changelog says keeps future answers accurate, a store people maintain for the agent across sessions. No memory the agent writes itself with a stated scope and lifetime is described. Sourcedocs.brewit.ai/docs/data-agent/train/query-libraryread 2026-09-28
Deployment & Data Residency	Not documented
Brewit runs on AWS with no region named or selectable, and its Security page says hosting Brewit in a company's own cloud is coming in the near future, which is roadmap rather than a shipped option. Sourcedocs.brewit.ai/docs/others/securityread 2026-09-28
Prebuilt Agents, Templates & Packs	Not documented
Suggested questions help start an analysis, but no prebuilt agents, templates or packs a customer adopts are offered. SourceBrewit, docs.brewit.ai and changelogread 2026-09-28
Triggers & Channel Coverage	Full
The chat agent embeds in the buyer's own application so the buyer's customers, authenticated by JWT, query their data by message with no one at the buyer invoking it; no schedules or alerts are documented, and Slack appears only as a community workspace. Sourcedocs.brewit.ai/docs/data-agent/embedread 2026-09-28
Model Flexibility & Routing	Not documented
The Security docs state Brewit uses the OpenAI API (GPT-4) and send only metadata to it; no model choice for the customer is documented. Sourcedocs.brewit.ai/docs/others/securityread 2026-09-28
APIs, SDKs & MCP Extensibility	Partial
An API at api.brewit.ai/v1 with workspace API keys is documented, and API access sits on the Enterprise plan. The reference lists only a JWT endpoint for embedding the chat agent; no endpoints to query or manage the platform, SDK or MCP server are listed. Sourcedocs.brewit.ai/api-reference/introductionread 2026-09-28
Testing, Debugging & Optimization	Full
Evaluation lets the customer create test questions by hand or from a CSV, run them against the database and verify the SQL and answers Brewit generates, a documented test harness for the text to SQL agent. No numeric score is described for those runs. Sourcedocs.brewit.ai/docs/data-agent/evaluationread 2026-09-28
Browser & Computer Use	Not documented
Brewit works through database connections and SQL; no browser, desktop or computer control is described. Sourcebrewit.airead 2026-09-28

The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded

Pricing

Contact sales (Growth and Enterprise plans, no prices published)

plan allowances (messages, data sources, workbooks); rates not published

What is public

The plan names and their allowances only; no prices, trial or metering are published.

Variable cost rationale

Growth caps messages at 2,000 a month; how usage past the cap is billed is not published.

Sales call required

Yes, required for paid access

Free / trial

Not published

Agentic Index verified 2026-09-28

Official pricing page

Related vendors

Alternatives to Brewit

The closest documented capability profiles to Brewit among data analyst agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

BlazeSQL9.0 / 14Adds documented Deployment & Data Residency
Actian AI Analyst9.5 / 14Adds documented Deployment & Data Residency and Prebuilt Agents, Templates & Packs, among others
Athenic AI6.5 / 14Fuller documented coverage on Security, Identity & Governance and Observability & Auditability
Defog.ai7.5 / 14Adds documented Deployment & Data Residency
Lumi AI7.5 / 14Adds documented Deployment & Data Residency and Prebuilt Agents, Templates & Packs
Pluvo6.5 / 14Adds documented Deployment & Data Residency and Prebuilt Agents, Templates & Packs

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Brewit with other vendors →Compare all data analyst agents →See where Brewit ranks →

Data confidence: high

Head to head

Brewit vs Datapad