How much does Datapad cost?

Basic $30 per month ($15 billed annually) for one user and one data source; Pro $50 per user per month ($25 annually) with 10 sources, the auto learning agent, Slack bot and workflow automation; Scale $1,000 per workspace per month ($500 annually) with unlimited sources including databases; Enterprise custom with Bring Your Own Cloud and white labeling.

What are the best alternatives to Datapad?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Datapad among data analyst agents are AskYourDatabase, AskEarth, Fabi.ai, Powerdrill. Each is graded on the same public evidence, and no vendor pays for placement.

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

Full under the Agentic Index verification standard. Datapad 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: Datapad states SOC 2 Type II and TX-RAMP certification, and its security guide documents SSO (OAuth 2.0, OpenID Connect), multi factor authentication and role based access control with granular permissions and least privilege, plus encrypti. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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

Full under the Agentic Index verification standard. Datapad 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: The Enterprise plan offers Bring Your Own Cloud, a customer environment option, while the standard service processes data in US based data centers; the BYOC option is named without further detail. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Datapad

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Data analyst agentindependentVerified 2026-09-28

Entry priceFrom $30 per month ($15 billed annually), Basic, one userFull pricing detail

Datapad is an AI data analyst that connects 50+ marketing, sales and database sources, answers questions with SQL and Python, runs a catalog of 60+ ready made workflows that produce campaigns and reports, and pushes proactive and anomaly alerts through a Slack bot.

Datapad is an AI data analyst for marketing, sales and operations teams. It connects to more than fifty sources, including Google Analytics, Facebook and Google Ads, Shopify, HubSpot, Stripe, Salesforce, Instagram and databases, turns plain language questions into SQL and Python, blends data across sources and answers with charts, dashboards and shareable reports.

A catalog of more than sixty ready to use AI workflows, grouped by team from marketing and SEO to finance and supply chain, produces deliverables such as channel ROI analyses, cash flow forecasts and campaign plans that are ready to copy into other tools. A learning layer remembers business context and team terminology across sessions, a Slack bot answers questions and sends proactive and anomaly detection alerts, and a voice mode presents insights aloud. Datapad routes each question between Claude and GPT, and users can pick the model themselves.

Datapad states SOC 2 Type II and TX-RAMP certification and documents SSO, multi factor authentication and role based access control. Data is processed in US data centers, and the Enterprise plan adds Bring Your Own Cloud.

Vendor details

Canonical URL

https://datapad.io

Company status

independent

Use cases & customers

Integrations

50+ sources including Google Analytics, Facebook Ads, Google Ads, Shopify, HubSpot, Stripe, Salesforce, Instagram and databases; Slack bot for questions and alerts; voice mode.

In practice

A growth team connects its ad accounts and Shopify store, and the Slack bot flags an overnight spike in cost per acquisition with the campaigns behind it before the morning stand up.

A marketing agency runs the Cross Channel Marketing ROI Analysis workflow for each client and copies the recommendations into its client decks the same day.

A founder asks in plain language for revenue by channel over the last quarter, and Datapad writes the SQL against the connected database and returns a chart it can add to a dashboard.

Agentic Index coverage score

7.5 / 14 capabilities · 54%

Integrations & Tool Calling	Partial
Datapad reads from 50+ sources (Google Analytics, Facebook and Google Ads, Shopify, HubSpot, Stripe, Salesforce, Instagram, databases) and runs the SQL and Python it writes, but its deliverables are copy paste ready and no action it takes inside those platforms is documented, so the catalog is read access. Sourcedatapad.io/docs/features/workflowsread 2026-09-28
Workflow Orchestration	Partial
A single AI data agent answers questions and runs workflows the user picks from a sidebar, each producing its own deliverable; no branching, conditions, multiple agents or flow the buyer configures is documented, and the July multi agent team reading (from the vendor's 2024 funding post) is not on the current pages. Sourcedatapad.io/docs/features/workflowsread 2026-09-28
Knowledge Grounding & RAG	Partial
Answers draw on the connected sources, uploaded files and blended data per question, and users can add business goals and brand guidelines to a workflow; no maintained index, semantic layer or retrieval structure over the customer's knowledge is described. Sourcedatapad.io/docs/featuresread 2026-09-28
Human Oversight & Guardrails	Not documented
Datapad presents itself as a fully autonomous analyst whose workflow outputs the user copies into other tools; no approval step, review before delivery or configurable limit on what the agent may do is documented. Sourcedatapad.io/docs/features/workflowsread 2026-09-28
Security, Identity & Governance	Full
Datapad states SOC 2 Type II and TX-RAMP certification, and its security guide documents SSO (OAuth 2.0, OpenID Connect), multi factor authentication and role based access control with granular permissions and least privilege, plus encryption in transit and at rest. Sourcedatapad.io/docs/guides/data-securityread 2026-09-28
Observability & Auditability	Partial
The security guide promises complete records of data access and processing and logs of what data was analyzed and when, and users drill through any chart or insight; no per question view of the SQL, Python or steps the agent ran is documented. Sourcedatapad.io/docs/guides/data-securityread 2026-09-28
Memory & State Persistence	Partial
A learning layer (the auto learning agent on Pro and above) learns from users, data sources and workspace context and remembers business context and team terminology across sessions; its scope is the workspace, but no lifetime, review or deletion of what it keeps is stated. Sourcedatapad.io/docs/featuresread 2026-09-28
Deployment & Data Residency	Full
The Enterprise plan offers Bring Your Own Cloud, a customer environment option, while the standard service processes data in US based data centers; the BYOC option is named without further detail. Sourcedatapad.io/pricingread 2026-09-28
Prebuilt Agents, Templates & Packs	Full
A catalog of 61+ ready to use AI workflows across marketing, sales, SEO, ecommerce, social, product, finance, agency, growth, supply chain and CRM (for example Cross Channel Marketing ROI Analysis, Cash Flow Forecasting, Inventory Stock Out Prediction) each produces its own deliverable and can be run on its own. Sourcedatapad.io/workflowsread 2026-09-28
Triggers & Channel Coverage	Full
The Slack bot delivers proactive, real time and anomaly detection alerts and daily performance updates without anyone asking, alongside questions typed in Slack and a voice mode; how alerts are configured and scheduled is not detailed. Sourcedatapad.io/features/slack-botread 2026-09-28
Model Flexibility & Routing	Full
Datapad routes each question between Claude and GPT by complexity and output type, and users can override the routing and pick the model for a query from the chat settings. Sourcedatapad.io/docs/features/multi-model-airead 2026-09-28
APIs, SDKs & MCP Extensibility	Not documented
No API, SDK or MCP server for calling Datapad is documented. Sourcedatapad.io/docs/featuresread 2026-09-28
Testing, Debugging & Optimization	Not documented
Anomaly detection watches the customer's metrics, not the agent; no test set, scored cases or evaluation of the agent's answers is documented. Sourcedatapad.io/docs/featuresread 2026-09-28
Browser & Computer Use	Not documented
The docs index lists a Web Access feature whose page returns 404, and no browser, desktop or computer control is described elsewhere. Sourcedatapad.io/docs/featuresread 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

From $30 per month ($15 billed annually), Basic, one user

per user (Basic, Pro); per workspace (Scale)

What is public

Every self serve plan with monthly and annual prices, the billing unit and the source caps; Enterprise is custom.

Variable cost rationale

Flat per user or per workspace fees with unlimited messages; cost grows with seats or a move to Scale.

Overage / add-ons

Messages unlimited; data sources capped by plan

Sales call required

Mixed (some tiers require a call)

Free / trial

"Start Free" sign up offered; trial terms not stated

Lowest paid plan

Basic ($30 per month, one user)

Agentic Index verified 2026-09-28

Official pricing page

Related vendors

Alternatives to Datapad

The closest documented capability profiles to Datapad 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.

AskYourDatabase7.5 / 14Adds documented Human Oversight & Guardrails and APIs, SDKs & MCP Extensibility
AskEarth6.0 / 14Fuller documented coverage on Knowledge Grounding & RAG and Observability & Auditability
Fabi.ai9.0 / 14Adds documented Human Oversight & Guardrails and APIs, SDKs & MCP Extensibility
Powerdrill8.0 / 14Adds documented APIs, SDKs & MCP Extensibility
AnswerRocket9.5 / 14Adds documented APIs, SDKs & MCP Extensibility and Testing, Debugging & Optimization
Datafold11.5 / 14Adds documented Human Oversight & Guardrails and APIs, SDKs & MCP Extensibility, among others

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

Data confidence: high

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