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Stats Regression

by stats-regression in Productivity & SaaS

x402 APIPassing, checked 2 h ago

Ordinary least squares simple linear regression (y = slope*x + intercept) with R-squared.

POST https://x402.agentindex.world/stats/regression

Last 30 days

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Uptime
100%
Response time
51 ms typical, 51 ms slowest 5%
Last check
2 h ago
Next check
any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://x402.agentindex.world/stats/regression" \
  -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 $0.03:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fx402.agentindex.world%2Fstats%2Fregression
const res = await pay("https://x402.agentindex.world/stats/regression", {
  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

{
  "intercept": 0,
  "r_squared": 1,
  "slope": 2
}

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Recent checks

WhenResultHTTPTimePrice
2 h agoPassed40251 ms$0.001