SLayer v0.3.1 is live — the open-source semantic layer built for AI agents. View on GitHub →

Security built for enterprise-grade reporting

Make your AI agents trusted data analysts, from metrics definition to document creation with data

Semantic Layer

Manage your Semantic Layer

Configure and audit your semantic layer from your preferred coding agent

Manage your database connectivity: Motley supports SQL, Postgres databases, DuckDB, Clikhouse and most major warehouses

Define and manage your data model: easy onboarding with automated introspection, extend your data model using your preferred coding agent via MCP

Visualise your semantic layer: auditability and versioning in a simple UI

Documents built from query results

Most data enquiries require more than one query to be answered; documents combine several objects: queries, tables, charts, and text analysis generated from query results

Multi-object documents

Most data enquiries require more than one query to be answered; documents combine several objects: queries, tables, charts, and text analysis generated from query results

MCP-triggered generation

Document generation is triggered via Motley's MCP server; each metric is validated against semantic layer queries

Versioned & auditable

Documents are stored, versioned and fully auditable in Motley's UI

Agent-ready recall

Documents can be easily recalled by agents for context, validation

Recurring analysis

Recurring data analysis — whether a scheduled report or an agent running a workflow regularly — needs to be efficient and consistent. Masters make it easy to run the same analysis repeatedly without rebuilding it from scratch each time.

Deterministic generation

Masters are structured documents generated deterministically from key variables such as time period or customer name. This means the same Master can produce a different, accurate output each time it's resolved — without any manual configuration.

MCP resolution

Masters are stored in Motley with full versioning history and can be resolved directly via the Motley MCP server. Any connected agent can trigger generation automatically, making Masters a reliable building block for recurring workflows.

Audit & versioning

Every Master is stored, versioned and fully auditable in Motley's UI. You can track how outputs change over time, review previous versions, and ensure every generated document meets the expected standard.

Start building with an agent-native semantic layer

Define business logic once.
Query consistently across agents, apps, and Python workflows