zpl_computeRun a raw ZPL Engine computation. Takes dimension (d), bias (0-1), and optional samples. Returns AIN score, status, deviation, and token usage. Use th
zpl_sweepRun a ZPL Engine sweep: tests all 19 bias levels (0.0 to 1.0) for a given dimension. Shows how stability changes as bias increases. Useful for underst
zpl_analyzeSmart analysis using a domain lens. Automatically converts domain-specific data (prices, game stats, model outputs, etc.) into engine parameters and i
zpl_domainsList all available ZPL domain lenses with their descriptions, input schemas, and examples. Use this to discover what types of analysis are available.
zpl_healthCheck if the ZPL Engine is online and responding. Returns status and version. Does not require an API key.
zpl_plansShow all ZPL Engine subscription plans with pricing, token limits, and dimension limits. Requires a valid API key.
zpl_historyView history of past ZPL analyses. Shows recent questions, scores, and results. Useful for comparing over time or recalling past decisions.
zpl_watchlistManage a watchlist of items to monitor with ZPL. Add assets, portfolios, or any analysis to track AIN changes over time.
zpl_reportGenerate a comprehensive ZPL analysis report. Runs multiple computations across different bias levels and dimensions, producing a full stability profi
We re-grade npm:zpl-engine-mcp on a schedule and alert your Slack/webhook the moment its tools change or its grade drops — rug-pull insurance for the connection.
Add the wmcp.sh trust oracle as an MCP server and call grade_mcp_server / check_mcp_drift in your agent's pre-connection gate:
https://wmcp.sh/mcp/trust
readOnly vs observed behavior) layer on via the wmcp.sh proxy.