govern_actionGovern any AI agent action. Performs capability check + policy evaluation + generates a governance receipt. Returns a receipt proving the action was g
get_verified_badgeReturns the
audit_trailGet the governance audit trail. Returns governance receipts from local storage or cloud API. Free to use.
compliance_checkQuick compliance check against common AI governance frameworks. Free tier: 10 checks per day. Evaluates against EU AI Act, Colorado AI Act — Revised (
meter_llm_callTrack the cost of an LLM API call and enforce budget limits. Call this after every LLM API response. Returns real-time cost, cumulative spend, and bud
set_llm_budgetSet a USD spend limit for an agent. The meter will return budget_status:
get_spend_reportGet LLM spend breakdown by agent, model, and provider. Filter by agent and date range. Returns total cost, call count, and per-model breakdown.
We re-grade npm:dingdawg-governance 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.