Support
Support runs through a single contact email address published on the site. No help centre, documentation portal or response-time commitment is described.
Monitr
Query, visualize, and discuss your data with Claude-powered assistance
Intermediate
What is Monitr?
Monitr is an AI spreadsheet generator tool. A beta-stage analytics workspace that combines a SQL editor, shareable dashboards and a Claude 3.5 Sonnet assistant that turns plain-language business questions into SQL against PostgreSQL databases and API endpoints.
Monitr is a data analytics workspace that pairs a SQL editor with a dashboard builder and a conversational AI assistant. The premise is straightforward: connect a database, ask questions in plain language, and get back SQL that can be run, validated and saved as a chart or dashboard. The product is currently in beta, so the surrounding details (limits, pricing, plan tiers) are still thin on the public site. The AI layer runs on Claude 3.5 Sonnet, which the company says can read complex database schemas and translate business questions into optimized queries. This is aimed less at replacing analysts than at accelerating them: drafting a first query, checking a join, or validating an aggregation without hand-writing every line. Results flow into real-time visualizations that can be shared with stakeholders as KPI dashboards, and the workspace supports sharing queries and results across a team with unlimited viewer seats. Connectivity is deliberately narrow. Monitr connects to existing PostgreSQL databases and API endpoints, with the company stressing enterprise-grade security and scale. There is no broad catalogue of native connectors advertised, so teams on MySQL, BigQuery, Snowflake or warehouse-native stacks may need to wait or route through other systems. Because queries are executed against live data, the accuracy of AI-generated SQL still depends on schema quality and on a person reviewing what comes back before it reaches a dashboard. Who it suits: small data teams, startup analysts and product or operations staff who want dashboards without a separate BI tool and without deep SQL fluency. The pitch of one workspace covering editor, dashboards and assistant is the main differentiator against heavier BI suites. Buyers should treat the beta status, the PostgreSQL-first integration story and the absence of published pricing as open questions to settle in a direct conversation with the vendor before committing.
How do you use Monitr?
1Create your Monitr workspace
Sign up from the homepage and open the workspace. The beta sign-up is the entry point; no separate install is required since the product runs in the browser.2Connect a PostgreSQL database or API endpoint
Add your existing PostgreSQL connection or point Monitr at an API endpoint. Confirm the schema is visible before moving on to querying.3Ask the AI assistant a business question
Type the question in plain language and let the assistant draft the SQL. Review the generated query and check that joins and filters match your schema.4Run and validate the query
Execute the SQL in the editor, sanity-check the result set against a known figure, then adjust the prompt or the query until the output is trustworthy.5Turn the query into a dashboard
Save the validated query and convert it into a visualization, then group the charts that track the metrics you report on regularly.6Share with your team
Invite colleagues as viewers so they can read queries, results and dashboards without consuming paid analyst time.
Pros and cons
Pros
- AI assistant converts business questions into SQL, which shortens the query drafting loop for analystsAI
- Dashboards turn saved queries into real-time visualizations that can be shared with stakeholdersAI
- Unlimited viewer seats on shared queries and reports lowers the cost of circulating insightsAI
- Runs on Claude 3.5 Sonnet and is described as able to handle complex database schemasAI
- Editor, dashboards and assistant sit in one workspace rather than three separate toolsAI
Cons
- Still in beta, so stability, roadmap and long-term support commitments are unprovenAI
- Integration coverage appears limited to PostgreSQL and API endpoints, leaving other warehouses unaddressedAI
- No published pricing, free tier or trial terms on the site, which blocks budget comparisonsAI
- AI-generated SQL still needs human review before it drives dashboards or stakeholder decisionsAI
- Support routes to a single contact email, with no documented help centre or SLAAI
How much does Monitr cost?
Integrations
Monitr connects to existing PostgreSQL databases and API endpoints. No other native connectors are listed on the homepage.
Features
Core pieces are an AI query assistant for converting business questions into SQL, a SQL editor for running and validating those queries, dashboards that turn queries into real-time visualizations, and a collaborative workspace where queries and results are shared with unlimited viewer seats. The assistant is powered by Claude 3.5 Sonnet and is built to work with complex database schemas.
Frequently asked questions about Monitr
How do you use Monitr?
The walkthrough on this page covers 6 steps: 1. Create your Monitr workspace 2. Connect a PostgreSQL database or API endpoint 3. Ask the AI assistant a business question 4. Run and validate the query 5. Turn the query into a dashboard 6. Share with your team.What platforms does Monitr support?
Monitr is available on Web App.What does Monitr integrate with?
Monitr connects to existing PostgreSQL databases and API endpoints. No other native connectors are listed on the homepage.What are the limitations of Monitr?
Still in beta, so stability, roadmap and long-term support commitments are unproven. Integration coverage appears limited to PostgreSQL and API endpoints, leaving other warehouses unaddressed. No published pricing, free tier or trial terms on the site, which blocks budget comparisons.
Status
StatusActive
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Added10/22/2026
Platforms
Web App
Pricing
Freemium
