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Correlation

by Correlation (Pearson) in Markets & finance

x402 APIPassing, checked 10 min ago

Pearson correlation coefficient between two equal-length numeric series. Returns r (the correlation, -1 to 1), r² (variance explained), n (sample size). Use this to ask things like: is a stock's daily return correlated with a macro indicator? Are two FRED series moving together?

POST https://agent402.tools/api/correlation

Last 30 days

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Uptime
100%
Response time
185 ms typical, 185 ms slowest 5%
Last check
10 min ago
Next check
in 23 min

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://agent402.tools/api/correlation" \
  -H "content-type: application/json" \
  -d '{"x":[1,2,3,4,5],"y":[2,4,6,8,10]}'
import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fagent402.tools%2Fapi%2Fcorrelation
const res = await pay("https://agent402.tools/api/correlation", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"x":[1,2,3,4,5],"y":[2,4,6,8,10]}),
});
console.log(await res.json());

Example input

{
  "x": [
    1,
    2,
    3,
    4,
    5
  ],
  "y": [
    2,
    4,
    6,
    8,
    10
  ]
}

Example output

{
  "interpretation": "perfect positive linear relationship",
  "n": 5,
  "r": 1,
  "rSquared": 1
}

Security scan

  • No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTimePrice
10 min agoPassed402185 ms$0.001
5 h agoPassed402297 ms$0.001