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Linear Regression

by Linear regression (OLS) in Productivity & SaaS

x402 APIPassing, checked 3 h ago

Fit a least-squares line y = slope·x + intercept to two equal-length series. Returns slope, intercept, r² (variance explained), and optionally predicted y values for new x inputs - useful for trend extrapolation (e.g. project next quarter's revenue from the last 8 quarters).

POST https://agent402.tools/api/linear-regression

Last 30 days

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Uptime
100%
Response time
203 ms typical, 203 ms slowest 5%
Last check
3 h ago
Next check
any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://agent402.tools/api/linear-regression" \
  -H "content-type: application/json" \
  -d '{"predict":[6,7],"x":[1,2,3,4,5],"y":[2.1,4,6.1,7.9,10.2]}'
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 $0.03:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fagent402.tools%2Fapi%2Flinear-regression
const res = await pay("https://agent402.tools/api/linear-regression", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"predict":[6,7],"x":[1,2,3,4,5],"y":[2.1,4,6.1,7.9,10.2]}),
});
console.log(await res.json());

Example input

{
  "predict": [
    6,
    7
  ],
  "x": [
    1,
    2,
    3,
    4,
    5
  ],
  "y": [
    2.1,
    4,
    6.1,
    7.9,
    10.2
  ]
}

Example output

{
  "equation": "y = 2.01x + 0.03",
  "intercept": 0.03,
  "n": 5,
  "predictions": [
    {
      "x": 6,
      "y": 12.09
    },
    {
      "x": 7,
      "y": 14.1
    }
  ],
  "rSquared": 0.9997,
  "slope": 2.01
}

Security scan

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Recent checks

WhenResultHTTPTimePrice
3 h agoPassed402203 ms$0.001