Agentsql vs Basedash
Agentsql
agentsql.com
Basedash
basedash.comSide by side
| Figure | Agentsql | Basedash |
|---|---|---|
| Price from | $24/mo | $1,000/mo |
| Free plan | — | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 2 |
| Spec score · AI SQL Generators | 7.7 (#9) | 8.4 (#2) |
| Intended users | The site presents AgentSQL for founders, operations teams, analysts, and product managers who want database answers without writing SQL. | Basedash describes its audience as data leaders and business teams, including product, sales, marketing, finance, and operations teams. |
| Support | The contact page says a real person usually replies within one business day; Scale includes priority support with a named contact. | Paid plans include Slack support, while Enterprise includes a dedicated support contact and priority SLAs. |
Plans
Agentsql
- Starter$24 a month
- Team$59 a month
- Scale$179 a month
- Enterprise$299 a month
In their own words
Agentsql
AgentSQL is a web service that turns plain-English questions about connected databases into read-only SQL queries, then returns a chart, table, and plain-English answer. Each response shows the exact SQL, and users can rephrase their question to have the service rewrite and rerun it. Supported connections are Postgres, MySQL, Snowflake, and BigQuery. Connections use least-privilege read-only credentials, can be limited to selected tables, and can be revoked. AgentSQL says it encrypts connections in transit, does not copy database tables or build a shadow warehouse, and does not use database contents, queries, or results to train AI models. It stores query history; Team and Scale also retain result rows. Plans are billed yearly: Starter costs $24 per month, Team $59 per month, Scale $179 per month, and Enterprise $299 per month. Monthly allowances are 600, 1,500, 5,000, and 8,000 questions respectively, with no more than one tenth usable in a day. The service targets founders, operations teams, analysts, and product managers.
Basedash
Basedash is an AI-native business intelligence platform for asking plain-English questions about live company data and turning answers into governed dashboards and automated reports. Its AI analyst validates generated SQL against connected schemas and displays the SQL behind each answer. Users describe the metrics they want to follow, and Basedash assembles charts, KPIs, and dashboard layouts. Teams can define dimensions, measures, and segments for reuse across chat, dashboards, and automations. A managed DuckDB warehouse centralizes data synced from more than 750 sources. Listed connections include PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, Databricks, Salesforce, HubSpot, and Stripe. The agent answers questions in Slack with chart images; reports and alerts can go to Slack and email. Deployment options are managed cloud, private VPC, or self-hosting with Docker, Kubernetes, and Helm. Security listings include SOC 2 Type II, encryption, SSO, SCIM, role-based and row-level security, and audit logs.