Linear regression (OLS) · Linear Regression
$0.001
per call · USD Coin on Base
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).
Endpoint
POST https://agent402.tools/api/linear-regression4
Calls / 30d
1
Unique payers / 30d
Aug 31
Last called
exact
Payment scheme
Call this service
import { wrapFetchWithPayment } from "@x402/fetch";
import { privateKeyToAccount } from "viem/accounts";
const account = privateKeyToAccount(process.env.PRIVATE_KEY);
const fetchWithPay = wrapFetchWithPayment(fetch, account);
const res = await fetchWithPay("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
]
}),
});
const data = await res.json();curl -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]}' \
-H "X-PAYMENT: <signed x402 payment>"Example response
{
"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
}Payment details
0xabf4fabd7c416fb67202e5f9002389fc75e2a9d0USD Coin · 0x833589fcd6edb6e08f4c7c32d4f71b54bda02913Is this your API?
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