Independently verified against live vendor data on Oct 5, 2026.
Transparency
Mostly Public
Contract
Annual Only
Data training
Not Disclosed
Human in loop
Optional
Capabilities
data-analysisreportingmcp-serverno-code
Pros & Limitations
Editorial assessmentPros
- ✓Spotter answers natural-language questions on live warehouse data and shows the search tokens behind each answer, so results can be checked.
- ✓Four agents cover questions, semantic modeling, dashboards and embed code, plus an Agentic MCP Server and apps for Slack, ChatGPT, Claude and Salesforce.
- ✓Essentials and Pro are publicly priced, a 14-day free trial needs no card, and ThoughtSpot does not meter LLM tokens.
Limitations
- –Buy now leads to a sales contact form rather than a checkout, so even the published plans are bought through sales, and Enterprise is custom priced.
- –Essentials covers 5 to 50 users and 25 million rows, and Pro includes 25 Spotter queries per user per month, with unlimited Spotter sold as an add-on.
- –The MCP Server, embedding API and SDK, and Analyst Studio are paid add-ons on top of the plan price.
Technical Details
Deployment
cloudwebapimobile
Model architectureSearch-token architecture and semantic layer over Microsoft Azure OpenAI GPT, Google Vertex AI (Gemini, Anthropic Claude) and Snowflake Cortex AI (Mistral) models, with flexible LLM selection
Autonomous rateConfigurable: Spotter answers and analyzes on request, SpotterViz builds dashboards and alerts run automatically, while SpotterModel keeps human-in-the-loop review. No autonomy percentage is published
MCPServer
Integrations
SnowflakeDatabricksAmazon RedshiftSnowflake Cortex AIGoogle CloudSlackChatGPTClaudeGoogle SlidesSalesforce
Security
SOC 2 Type IIISO 27001HIPAAGDPRCCPA
Industries
FinanceHealthcare
Built for
B2BEnterpriseSaaS
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