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Linear Regression (least squares)

Best-fit slope, intercept, r^2 and an optional prediction from paired x/y data.

Free tier eligible — 500 calls/month with a free key from /pricing; x402 pay-per-call above quota.

Parameters

ParameterTypeRequiredDescription
xarrayrequiredArray of x values (length >= 2)
yarrayrequiredArray of y values (same length as x)
predict_xnumberoptionalOptional x to predict y for

Call it over MCP (JSON-RPC 2.0)

curl -s https://wingmanprotocol.com/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": {"name": "regression", "arguments": {"x": [], "y": []}}}'

Or plain HTTP

curl -s https://wingmanprotocol.com/tools/regression \
  -H 'Content-Type: application/json' \
  -d '{"x": [], "y": []}'

Try it live

Edit the JSON and run it — this POSTs to https://wingmanprotocol.com/tools/regression from your browser.

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