How much does Definite cost?

The Free plan is $0 with 5 credits a month, 2 users and 2 connectors. Standard is $250 per month (8 percent less billed annually) with 100 credits, unlimited users and connectors and API access; extra credits cost $1 each, and the plan is booked through a demo. Enterprise is custom, with SSO, SCIM, audit logs, the SOC 2 program and private or on premise deployment. Data Team as a Service is $2,500 a month or $100 an hour.

What are the best alternatives to Definite?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Definite among data analyst agents are Zenlytic, Wisdom AI, Tellius, ThoughtSpot. Each is graded on the same public evidence, and no vendor pays for placement.

Does Definite support MCP and tool calling?

Full under the Agentic Index verification standard. Definite publishes public evidence of Model Context Protocol (MCP) support, tool calling, and API or SDK extensibility for connecting agents to external tools. Evidence basis: A REST API at /api/v1 with scoped bearer tokens covers queries, the catalog, automation pipelines, Fi agent threads, row ingest and email, a CLI is documented, and the MCP server at /mcp (OAuth 2.1 with PKCE or a static bearer token) expose. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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

Full under the Agentic Index verification standard. Definite publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: Role based access control spans workspaces, docs and integrations, SAML 2.0 and OIDC SSO and SCIM come on higher plans, and a HIPAA BAA is offered on Enterprise. The SOC 2 Type II audit is underway, with an interim Type I report available o. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can Definite be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Definite publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: Definite runs as a private deployment in the customer's own cloud (AWS, GCP, Azure or any Kubernetes) with a documented self host guide, and the hosted service runs on GCP in the US with an EU region on Enterprise. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Back to vendors

Definite

Visit site

Data analyst agentindependentVerified 2026-09-28

Entry priceFree plan; Standard $250 per month (100 credits); Enterprise customFull pricing detail

Definite is an AI native data platform that bundles 500+ connectors, a lakehouse, a governed semantic layer, dashboards and data apps, the Fi analyst agent and scheduled monitoring agents, with an API, CLI and MCP server and a private deployment option.

Definite combines the pieces of a data stack in one product: 500+ native connectors that sync into a lakehouse, a semantic layer of models, measures, relationships and business context that teams maintain in git, a catalog editor or the API, and Fi, an AI analyst that answers questions and builds data apps and dashboards from a description.

Automations are ordered pipelines of SQL, Python, sync, export, Slack, email, assertion, LLM decision and agent steps, run on cron schedules or after another pipeline succeeds, with conditional skip guards. Monitoring agents probe the lakehouse on a schedule or event, let an LLM decide whether to act, and then post to Slack, call a webhook or write a row, keeping a run log and a durable state scratchpad; the docs state there is no built in approval gate. A REST API, a CLI and an MCP server with OAuth let other tools and assistants query data and create data apps.

Definite documents role based access control, SAML and OIDC SSO, SCIM and logging of every query and integration event. Its SOC 2 Type II audit is underway with an interim Type I report available on request. The hosted service runs on GCP in the US with an EU region on Enterprise, and Definite can run as a private deployment in the customer's own AWS, GCP, Azure or Kubernetes environment with the customer's own model provider credentials. A separate Data Team as a Service offering provides analysts by the month or hour.

Vendor details

Canonical URL

https://definite.app

Company status

independent

Use cases & customers

Integrations

Definite offers 500+ native connectors including Salesforce, HubSpot, Stripe, Postgres, Slack, Zendesk, Shopify, Snowflake, BigQuery, Redshift, DuckDB, Google Sheets, GA4, Mixpanel and generic REST. Agent and automation actions go to Slack, email, webhooks and SQL writes, and Definite provides a REST API, CLI and MCP server.

In practice

A finance lead asks Fi for net revenue retention by cohort last quarter, and Fi searches the semantic layer for the governed revenue and cohort definitions before writing the query and returning a data app.

A startup schedules a nightly pipeline that syncs HubSpot and Stripe, runs its transforms and then an agent that posts to Slack when churn risk crosses a threshold it keeps in its state.

A data team runs Definite in its own AWS account with its own Bedrock credentials and lets analysts query it from Claude through the MCP server.

Agentic Index coverage score

10.5 / 14 capabilities · 75%

Integrations & Tool Calling	Full
Definite ships 500+ native connectors (Salesforce, HubSpot, Stripe, Postgres, Zendesk, Shopify, Snowflake, BigQuery and more), and its agents act outside the product: they post to Slack, POST to any HTTP endpoint as a generic webhook, and run SQL writes, while automation steps run Python with integration access and send email. Sourcedefinite.app/docs/agentsread 2026-09-28
Workflow Orchestration	Full
Automations are ordered pipelines the customer defines, with steps for SQL, Python, syncs, exports, Slack, email, assertions, LLM decisions and Fi agents, conditional skip guards (when clauses), and run after dependencies that fan out from one pipeline to several; each agent is limited to one probe and one action. Sourcedefinite.app/docs/automationsread 2026-09-28
Knowledge Grounding & RAG	Full
A lakehouse native semantic layer of seven tables (models, dimensions, measures, relationships, context annotations and two ontology tables) is maintained by the team in git YAML, the Catalog editor or the API, and Fi searches it and the ontology at the start of each question; a newly saved model is available immediately with no retraining. Sourcedefinite.app/docs/semanticread 2026-09-28
Human Oversight & Guardrails	Partial
The customer bounds what agents do: one probe and one action per agent, a cooldown before an action fires again, skip guards on pipeline steps and API tokens scoped to capabilities. The agents docs state there is no built in approval workflow or human review gate. Sourcedefinite.app/docs/agentsread 2026-09-28
Security, Identity & Governance	Full
Role based access control spans workspaces, docs and integrations, SAML 2.0 and OIDC SSO and SCIM come on higher plans, and a HIPAA BAA is offered on Enterprise. The SOC 2 Type II audit is underway, with an interim Type I report available on request. Sourcedefinite.app/securityread 2026-09-28
Observability & Auditability	Full
Every authentication, permission change, query and integration event is logged, with export to a SIEM on Enterprise; automation runs record ordered steps with logs and outputs, and agents keep a log of each run. Sourcedefinite.app/securityread 2026-09-28
Memory & State Persistence	Full
Each agent keeps two documented memory layers: an episodic log of its runs and a durable per agent state scratchpad (JSON) that persists watermarks and notes across runs, and the LLM reads its memory of recent runs when deciding whether to act; the scope is per agent and the state is durable. No review or deletion path for agent memory is described. Sourcedefinite.app/docs/agentsread 2026-09-28
Deployment & Data Residency	Full
Definite runs as a private deployment in the customer's own cloud (AWS, GCP, Azure or any Kubernetes) with a documented self host guide, and the hosted service runs on GCP in the US with an EU region on Enterprise. Sourcedefinite.app/docs/on-premread 2026-09-28
Prebuilt Agents, Templates & Packs	Not documented
No templates, prebuilt agents or packs are listed in the docs; dashboards and data apps are built by Fi from a description (the campaign dashboard page says "Describe your dashboard. Fi builds it"). Sourcedefinite.app/dashboards/campaignread 2026-09-28
Triggers & Channel Coverage	Full
Pipelines and agents run on cron schedules with time zones, agents also fire when an automation run on a named table or pipeline succeeds, and runs can be enqueued through the API or CLI. Sourcedefinite.app/docs/agentsread 2026-09-28
Model Flexibility & Routing	Full
The LLM Setup docs support Anthropic direct, AWS Bedrock, Google Vertex AI and Azure OpenAI with the customer's own credentials, and admins change the default model in Settings, Models. That page sits in the self host section, so whether hosted customers can pick the model is not stated. Sourcedefinite.app/docs/llm-setupread 2026-09-28
APIs, SDKs & MCP Extensibility	Full
A REST API at /api/v1 with scoped bearer tokens covers queries, the catalog, automation pipelines, Fi agent threads, row ingest and email, a CLI is documented, and the MCP server at /mcp (OAuth 2.1 with PKCE or a static bearer token) exposes tools including save_data_app, which creates or updates data apps. Sourcedefinite.app/docs/apiread 2026-09-28
Testing, Debugging & Optimization	Not documented
No test set, scored cases or evaluation of Fi or the agents is documented; pipeline assertion steps test the data (uniqueness), not the agent. Sourcedefinite.app/docs/automationsread 2026-09-28
Browser & Computer Use	Not documented
No browser, desktop or computer control is described; Definite works through connectors, SQL, Python and HTTP actions. Sourcedefinite.appread 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 plan; Standard $250 per month (100 credits); Enterprise custom

flat monthly fee with a credit allowance; unlimited users on Standard

Free tier

What is public

Definite publishes the free and Standard plans with credits, overage and inclusions, the annual discount and the Data Team as a Service rate; Enterprise is custom.

Variable cost rationale

Standard includes 100 credits a month and meters extra credits at $1 each, so heavy agent and query use adds cost above the flat fee.

Overage / add-ons

Additional credits $1 each

Sales call required

Mixed (some tiers require a call)

Free / trial

Free plan: 2 users, 2 connectors, 5 credits a month

Lowest paid plan

Standard ($250 per month, 100 credits)

Agentic Index verified 2026-09-28

Official pricing page

Related vendors

Alternatives to Definite

The closest documented capability profiles to Definite 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.

Zenlytic11.0 / 14Adds documented Prebuilt Agents, Templates & Packs and Testing, Debugging & Optimization
Wisdom AI11.5 / 14Adds documented Prebuilt Agents, Templates & Packs and Testing, Debugging & Optimization
Tellius12.0 / 14Adds documented Prebuilt Agents, Templates & Packs and Testing, Debugging & Optimization
ThoughtSpot12.0 / 14Adds documented Prebuilt Agents, Templates & Packs and Testing, Debugging & Optimization
AskYourDatabase7.5 / 14A lighter documented profile than Definite
Datafold11.5 / 14Adds documented Prebuilt Agents, Templates & Packs and Testing, Debugging & Optimization

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

Data confidence: high

Head to head

Definite vs Scoop Analytics