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Fabi.ai

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Entry priceFree Starter plan; Builder $39 per monthFull pricing detail

Fabi.ai is an AI data analyst platform whose Analyst Agent writes SQL and Python in collaborative Smartbook notebooks, publishes auto refreshing dashboards, and runs Workflows that send scheduled reports and change alerts to Slack, email, Sheets and Slides.

Fabi.ai gives data teams and operators an Analyst Agent that takes a plain English question, writes SQL to pull data from warehouses, databases, files and apps, and writes Python for statistics, modeling and custom charts. The work lands in Smartbooks, AI notebooks with reactive cells and version control, which publish as dashboards and data apps that refresh on a schedule.

Workflows push results to where people work: scheduled weekly or monthly reports and AI alerts on significant data changes go to Slack or email, and outputs can be written into Google Sheets and Slides. Teams can configure the agent with their business context, set field and table access, and scope agents to approved datasets. The customer chooses OpenAI, Anthropic or a privately hosted model, and an MCP server lets other assistants create analysis threads and save results to Smartbooks. A template gallery offers ready made dashboards and analyses by use case.

Fabi states it is SOC 2 Type 2 certified. Pricing starts with a free Starter plan and a $39 a month Builder seat, with Enterprise on request.

Vendor details

Canonical URL

https://fabi.ai

Category

Data analyst agent

Company status

independent

Use cases & customers

Integrations

Fabi connects to Snowflake, BigQuery, PostgreSQL, Stripe, HubSpot, Salesforce, Google Sheets and other warehouses, databases, files and apps (40+ listed in the template gallery), delivers to Slack, email, Google Sheets and Slides, and offers an MCP server and a Slack app.

In practice

A lean growth team connects its warehouse and customer relationship management data to Fabi, then asks the Analyst Agent plain English questions that return SQL, Python analysis, and a publishable dashboard within minutes.

An operator builds a Smartbook with reactive cells and version control, publishes it as a scheduled dashboard, and lets teammates ask follow up questions through the Fabi agent installed in Slack.

A data lead scopes an analyst agent to only approved tables, connects it through the Model Context Protocol server, and sets real time alerts so stakeholders learn when a key metric shifts.

Agentic Index coverage score

9.0 / 14 capabilities · 64%

Integrations & Tool Calling Full

Fabi connects warehouses, databases, files and apps (Snowflake, BigQuery, PostgreSQL, Stripe, HubSpot, Salesforce, Google Sheets and more), writes and runs SQL and Python across merged sources, and its Workflows push results into Google Sheets, Slides, Slack and email through direct connectors.

SourceFabi.ai, Analyst Agent and Workflows pages and homepageread 2026-09-28

Workflow Orchestration Full

Workflows are flows the customer builds that combine SQL, Python, no code and AI steps, run on schedules and deliver to Sheets, Slides, Slack or email, and Smartbooks chain reactive cells. Branching and conditions are not described.

SourceFabi.ai, Workflows and Analyst Agent pagesread 2026-09-28

Knowledge Grounding & RAG Partial

The Analyst Agent can be configured with the business's own context and semantics and auto learns as the team engages. How that context is stored and retrieved, or whether it forms a maintained structure beyond the prompt, is not described.

SourceFabi.ai, Analyst Agent pageread 2026-09-28

Human Oversight & Guardrails Partial

Admins set field and table access, and scoped agents work only with approved datasets, which bounds what the agent may touch. No step where a person approves an analysis or delivery before it goes out is documented.

SourceFabi.ai, Analyst Agent pageread 2026-09-28

Security, Identity & Governance Full

Fabi states it is SOC 2 Type 2 certified (with GDPR and CCPA readiness badges) and documents granular access control down to fields and tables, with scoped agents limited to approved datasets. SSO, the auditor and roles beyond that are not described, and the SOC 2 report itself is not published.

SourceFabi.ai, Security page and Analyst Agent pageread 2026-09-28

Observability & Auditability Partial

The agent's SQL and Python land as cells in Smartbooks with version control, so the code it ran can be read and traced through reactive cells. No audit log or run trace of the agent's steps across users is documented.

SourceFabi.ai, homepage, Analyst Agent page and MCP Server docsread 2026-09-28

Memory & State Persistence Partial

Analysis runs in threads backed by Smartbooks that keep their cells and state. The learned business context is grounding rather than memory, and no memory the agent keeps across sessions with a stated scope and lifetime is described.

SourceFabi.ai, MCP Server docs and Analyst Agent page; docs.fabi.ai/advanced_features_and_dev_tools/mcp_serverread 2026-09-28

Deployment & Data Residency Not documented

No region selection, VPC, dedicated or self hosted deployment of the platform is described; Fabi is a hosted service, and the privately hosted LLM on Enterprise is a model choice rather than a deployment option.

SourceFabi.ai, Pricing page, homepage and Security pageread 2026-09-28

Prebuilt Agents, Templates & Packs Full

A template gallery offers named templates filtered by use case, industry and data source (marketing pipeline dashboard, deal analysis with AI, closed lost deal analysis, Stripe dashboard, user retention analysis and more), each with its own page. How a template is copied into a workspace is not described.

SourceFabi.ai, Template Galleryread 2026-09-28

Triggers & Channel Coverage Full

Workflows generate scheduled weekly or monthly reports, AI powered alerting detects significant data changes and sends alerts to Slack or email, and dashboards refresh on a schedule, so work starts without a person asking.

SourceFabi.ai, Workflows and Analyst Agent pagesread 2026-09-28

Model Flexibility & Routing Full

Teams run analysis on the engine they prefer, OpenAI, Anthropic or their own privately hosted LLM (on Enterprise), and the MCP server plugs the analyst into the LLM of the customer's choice.

SourceFabi.ai, Analyst Agent page and Pricing pageread 2026-09-28

APIs, SDKs & MCP Extensibility Full

The MCP server at app.fabi.ai/mcp (bearer token or OAuth) exposes tools to create an analysis thread, submit a request, poll for the result and save the generated cells to a Smartbook, which changes Fabi's own objects.

SourceFabi.ai, MCP Server docs; docs.fabi.ai/advanced_features_and_dev_tools/mcp_serverread 2026-09-28

Testing, Debugging & Optimization Not documented

No test set, scored cases or evaluation of the agent's answers is documented; users can inspect and edit the agent's SQL and Python in Smartbooks, which is debugging rather than evaluation.

SourceFabi.ai, Analyst Agent page and docsread 2026-09-28

Browser & Computer Use Not documented

No browser, desktop or computer control is described; Fabi works through data connectors, SQL and Python.

SourceFabi.ai, homepage and Analyst Agent pageread 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

Free Starter plan; Builder $39 per month

per builder seat per month with an AI request allowance

Free tier

What is public

Fabi publishes the Starter and Builder prices and limits; Enterprise is on request.

Variable cost rationale

Builder is a flat monthly seat with a request cap rather than metered overage; heavier use moves a team to Enterprise.

Overage / add-ons

AI requests capped by plan (500 a month on Builder); Enterprise unlimited

Sales call required

Mixed (some tiers require a call)

Free / trial

Free Starter plan (10 AI requests a day)

Lowest paid plan

Builder ($39 per month)

Agentic Index verified 2026-09-28

Alternatives to Fabi.ai

The closest documented capability profiles to Fabi.ai 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.

  • Chord8.0 / 14Fuller documented coverage on Knowledge Grounding & RAG and Human Oversight & Guardrails
  • ThoughtSpot12.0 / 14Adds documented Deployment & Data Residency and Testing, Debugging & Optimization
  • Zenlytic11.0 / 14Adds documented Deployment & Data Residency and Testing, Debugging & Optimization
  • AskYourDatabase7.5 / 14Adds documented Deployment & Data Residency
  • Datafold11.5 / 14Adds documented Deployment & Data Residency and Testing, Debugging & Optimization
  • Datapad7.5 / 14Adds documented Deployment & Data Residency

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

Head to head

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