AI-powered intelligence layer between humans and their databases.
Data is abundant. The context needed to query it correctly is scarce.
Every database carries hidden conventions — amounts stored in cents, soft-delete flags, status codes mapped to integers, timezone assumptions, deprecated tables. This knowledge lives scattered across codebases, tribal memory, and individual experience. Without it, even correct-looking queries produce wrong answers.
CheckMyData.ai bridges this gap. It synthesizes schema, codebase, business rules, and accumulated experience into a single intelligence that answers data questions accurately from the first attempt. Ask questions in plain language — get validated, context-aware results with rich visualizations.
Supported databases: PostgreSQL, MySQL, ClickHouse, MongoDB LLM providers: OpenAI, Anthropic, OpenRouter
- Natural language to SQL — validated queries with self-healing error correction
- Multi-agent orchestration — adaptive routing between SQL, visualization, and knowledge agents
- Learning memory — the system learns from every query outcome and accumulates per-connection knowledge over time
- Code-DB sync — cross-references your codebase with the database to discover data formats, enums, and conversion rules
- Rich visualizations — bar, line, pie, scatter charts with on-the-fly switching and XLSX/CSV/JSON export
- Data validation — anomaly detection, benchmark verification, and proactive sanity checks
- Team collaboration — shared projects with role-based access, dashboards, scheduled queries, and alerts
| Website | checkmydata.ai |
| Main Repository | CheckMyData-AI/checkmydata-ai |
Open source under the MIT License.