Agentic Index
Fabi.ai vs Julius AI (2026)
Fabi.ai and Julius AI both start free and answer data questions by writing code, and they suit different habits. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Fabi's 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; Builder is 39 dollars a month. Julius works on files and live databases, remembers each data source, drives a live browser and acts in Google Ads, with Plus at 20 dollars a month. On the grid Fabi is Full on its API, packaged workflows, security and orchestration where Julius is None or Partial; Julius is Full on computer use, human oversight and memory where Fabi is None or Partial. Choose Fabi for shared notebooks and scheduled reporting; choose Julius for a personal analyst that acts beyond the data.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Fabi.ai and Julius AI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Fabi.ai if
- Your team works in shared notebooks and publishes dashboards from them.
- Scheduled reports and change alerts should reach Slack, email, Sheets and Slides.
- An API and documented security controls are on your checklist.
Choose Julius AI if
- The analyst should remember each data source between sessions.
- It should act in a live browser or in Google Ads, not only answer.
- Human oversight controls must be documented in full.
| Feature | F Fabi.ai |
J Julius AI |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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Fabi.aiIntegrations & Tool Calling 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. The agent merges several sources in memory, from spreadsheets to data warehouses. The Builder plan includes one data connector and one app connector, and Enterprise includes all of them. SourceFabi.ai, fabi.ai/product/analyst-agent, /product/workflows and /pricingread 2026-10-05 |
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Julius AIIntegrations & Tool Calling Julius connects to PostgreSQL, MySQL, SQL Server, Snowflake, BigQuery, Databricks, Supabase, Vertica, Google Ads, Meta Ads and Google Drive, OneDrive and SharePoint. It calls external APIs, such as Stripe, with stored secret keys. With Google Ads write access it adds keywords, changes bids and enables, pauses or deletes ads. Sourcejulius.ai/docs/data-connectors/google-ads-write-accessread 2026-09-28 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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Fabi.aiWorkflow Orchestration 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. Fabi does not describe branching or conditions. Smart Reports turn an analysis into a report that refreshes on its own, and dashboard links can be shared with outside viewers who have no paid seat. SourceFabi.ai, fabi.ai/product/workflows and /product/analyst-agentread 2026-10-05 |
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Julius AIWorkflow Orchestration Julius plans and runs multi step analysis in chat, writing and executing code in its sandbox. Notebooks, the step by step workflow surface, and Custom Agents have both been sunset in favor of instructions given in chat and reusable skill files. Customers can no longer configure branching, conditions or a flow of their own. Sourcejulius.ai/docs/notebooks-sunsetread 2026-09-28 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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Fabi.aiTriggers & Channel Coverage 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. Custom alerts can also fire on metric thresholds, and people who receive reports by email or Slack need no Fabi login. Scheduled dashboards and workflows start on the Builder plan. SourceFabi.ai, fabi.ai/product/workflows and /pricingread 2026-10-05 |
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Julius AITriggers & Channel Coverage Scheduled runs are sold on every plan, three on Free and unlimited from Plus up, and the Business plan includes unlimited scheduled report runs. Reports can post to Slack automatically every hour, day or week. Scheduled reports first ran from Notebooks, which have since been sunset. Otherwise the Slack agent answers the team's own questions. Sourcejulius.ai/docs/slack-agent/slack-reportsread 2026-10-07 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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Fabi.aiKnowledge Grounding & RAG The Analyst Agent can be configured with the business's own context and semantics and auto learns as the team engages, and it helps users refine their questions. Fabi does not say how that context is stored or retrieved, or whether it lives anywhere beyond the prompt. SourceFabi.ai, fabi.ai/product/analyst-agentread 2026-10-05 |
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Julius AIKnowledge Grounding & RAG Answers draw on uploaded files, connected schemas (with filtered schemas), custom instructions and skill files assembled per conversation. Sourcejulius.ai/docs/get-started/language-settings-custom-instructionsread 2026-09-28 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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Fabi.aiMemory & State Persistence Analysis runs in threads backed by Smartbooks that keep their cells and state. The business context the agent learns grounds its answers, and Fabi describes no memory that the agent keeps from one session to the next or how long it would last. SourceFabi.ai, docs.fabi.ai MCP Server and fabi.ai/product/analyst-agentread 2026-10-05 |
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Julius AIMemory & State Persistence A Learning Sub Agent records what columns mean, table relationships, join patterns and business context from conversations and feedback. What it learns is scoped to each data connector, shared across the team and kept for all future conversations. Users can view and manage it on the Data Connectors page, but Julius gives no exact steps for editing or deleting it. Sourcejulius.ai/docs/learning-subagent/overviewread 2026-09-28 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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Fabi.aiHuman Oversight & Guardrails Admins set field and table access, and scoped agents work only with approved datasets, which bounds what the agent may touch. There is no step where a person approves an analysis or delivery before it goes out. Data teams define exactly which data each agent can reach. SourceFabi.ai, fabi.ai/product/analyst-agentread 2026-10-05 |
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Julius AIHuman Oversight & Guardrails Before any Google Ads change, Julius shows exactly what it plans to do and the user must approve each change before it executes. The live browser pauses and hands control to the user at logins, two factor prompts and CAPTCHAs, and filtered schemas limit what the agent reads. Sourcejulius.ai/docs/data-connectors/google-ads-write-accessread 2026-09-28 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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Fabi.aiSecurity, Identity & Governance Fabi says it is SOC 2 Type 2 certified (with GDPR and CCPA readiness badges) and offers granular access control down to fields and tables, with scoped agents limited to approved datasets. Fabi does not describe SSO, the auditor or roles beyond that, and does not publish the SOC 2 report itself. A data processing addendum and a subprocessor list are available, and Enterprise customers can ask for a custom security review. SourceFabi.ai, fabi.ai/security, /pricing and /product/analyst-agentread 2026-10-05 |
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Julius AISecurity, Identity & Governance Teams have Owner, Admin and Member roles and can enforce two factor sign in across the team. SSO setup and audit logs come with the Business and Enterprise plans. Julius points customers to its trust center at trust.julius.ai for certifications but names no SOC 2 or comparable attestation. Sourcejulius.ai/docs/teams/setup/user-roles-permissionsread 2026-09-28 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Fabi.aiObservability & Auditability 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. There is no audit log or run trace of the agent's steps across users. Smartbooks and Smart Reports keep the analysis and its charts together for review. SourceFabi.ai, fabi.ai, /product/analyst-agent and docs.fabi.ai MCP Serverread 2026-10-05 |
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Julius AIObservability & Auditability The Code Sandbox view shows the environment where Julius runs the code behind an analysis. Business and Enterprise plans add audit logs, and a connector error log records failed connections. There is no step by step record of the agent's code and tool calls for each question. Sourcejulius.ai/docs/get-started/understanding-the-chat-interfaceread 2026-09-28 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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Fabi.aiDeployment & Data Residency Fabi is a hosted service, and no region selection, VPC, dedicated or self hosted deployment of the platform is described. On Enterprise, Fabi can host a private LLM for the customer or connect to one the customer runs, which changes the model but not where Fabi runs. SourceFabi.ai, fabi.ai/pricing and /securityread 2026-10-05 |
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Julius AIDeployment & Data Residency All data is stored and processed in the United States in a regionally isolated cloud environment. Customers cannot choose a region, and there is no dedicated or customer hosted option. Sourcejulius.ai/docs/get-started/privacy-and-data-securityread 2026-09-28 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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Fabi.aiPrebuilt Agents, Templates & Packs 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. Fabi does not say how a template is copied into a workspace. SourceFabi.ai, Template Galleryread 2026-09-28 |
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Julius AIPrebuilt Agents, Templates & Packs Custom Agents and Notebooks, Julius's earlier reusable assets, have been sunset. Users now write their own instructions or ask Julius to create a skill file. There are no prebuilt agents, templates or packs. Sourcejulius.ai/docs/custom-agents-sunsetread 2026-09-28 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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Fabi.aiModel Flexibility & Routing 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. On Enterprise, Fabi can host the private LLM itself or connect to one the customer runs, and the Builder plan includes the latest models. SourceFabi.ai, fabi.ai/product/analyst-agent and /pricingread 2026-10-05 |
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Julius AIModel Flexibility & Routing The Model Selector in the chat lets users switch between Julius's own models and third party models from OpenAI, Anthropic, xAI, Meta and Moonshot AI, with availability by plan. Sourcejulius.ai/docs/get-started/model-selectorread 2026-09-28 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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Fabi.aiAPIs, SDKs & MCP Extensibility 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, so outside assistants work with Fabi's own objects. Fabi calls it a plug and play server for connecting the analyst to an LLM platform. A Slack app also lets people ask questions of their data inside Slack. SourceFabi.ai, docs.fabi.ai MCP Server and fabi.ai/product/analyst-agentread 2026-10-05 |
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Julius AIAPIs, SDKs & MCP Extensibility Outside callers cannot reach Julius through an API, though Julius can call APIs itself. There is no SDK or MCP server for outside callers. SourceJulius, docs Secret Keys and Connections page and llms.txt index; julius.ai/docs/get-started/apisread 2026-09-28 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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Fabi.aiTesting, Debugging & Optimization Fabi publishes no test set, scored cases or evaluation of the agent's answers. Users can read and edit the agent's SQL and Python in Smartbooks, which helps them debug an answer, and an AI assistant suggests code while they wrangle data. SourceFabi.ai, fabi.ai/product/analyst-agent and /product/workflowsread 2026-10-05 |
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Julius AITesting, Debugging & Optimization Learning from user feedback updates what Julius knows about the data, and troubleshooting guides cover errors. There is no test set, no scored cases and no evaluation of the agent's answers. Sourcejulius.ai/docs/learning-subagent/learning-from-user-feedbackread 2026-09-28 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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Fabi.aiBrowser & Computer Use |
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Julius AIBrowser & Computer Use The Live Browser lets Julius open any URL, click buttons and links, type into forms and search fields and move through multi step workflows. It reads content that appears only after JavaScript runs and hands control to the user at logins. Julius does not say where the browser is hosted. Sourcejulius.ai/docs/basic-tools/live-browserread 2026-09-28 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | F Fabi.ai |
J Julius AI |
|---|---|---|
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Entry price Lowest public entry point |
Free Starter plan; Builder $39 per month | Free plan; Plus from $20 per month ($16 billed annually) |
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Pricing confidence How public the numbers are |
Public, exact | Public, exact |
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Billing Primary billing axis |
per builder seat per month with an AI request allowance | per plan per month with a credit allowance |
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Variable cost Workload / overage exposure |
Low variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
Free tier
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Free tier
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Buying motion Self-serve vs sales call |
Mixed | Mixed |
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