calculate_correlation
Calculate Pearson or Spearman correlation between two datasets.
This record as markdown: /tools/io-github-scotia1973-bot-api-hub/calculate-correlation.md
What calculate_correlation does on GadgetHumans API Hub
AI agents call calculate_correlation to retrieve information from GadgetHumans API Hub without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why calculate_correlation is rated Low
This tool performs a mathematical calculation (correlation analysis) on provided datasets. It is purely analytical and read-only—it does not create, modify, delete, or execute any state-changing operations. The output is a computed statistical result. This aligns with the Read category definition: 'retrieves or queries data; no side effects'.
From the tool's definition Tool name 'calculate_correlation' and description 'Calculate Pearson or Spearman correlation between two datasets' indicate a statistical computation that retrieves and analyzes data without modifying, deleting, or executing external operations.
Attacks that exploit this kind of access
The rule that runs calculate_correlation safely
PolicyLayer is an MCP gateway: it sits between your AI agents and GadgetHumans API Hub, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For calculate_correlation, this is the rule to start with:
calculate_correlation is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect GadgetHumans API Hub, apply this rule, and every calculate_correlation call is checked against it from then on.
Questions about calculate_correlation
Calculate Pearson or Spearman correlation between two datasets. It is categorised as a Read tool in the GadgetHumans API Hub MCP Server, which means it retrieves data without modifying state.
Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for calculate_correlation: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches GadgetHumans API Hub. Nothing to install.
calculate_correlation is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the calculate_correlation rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for calculate_correlation. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
calculate_correlation is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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