Correlation (Pearson)
POST /api/correlationPearson correlation coefficient between two equal-length numeric series. Send POST /api/correlation with the required fields x and y and pay $0.001 per call over x402 or MPP, or call it free by solving a proof-of-work challenge. It returns a JSON object with n, r, rSquared and interpretation.
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?
Parameters
| Name | Type | Required | Description |
|---|---|---|---|
x | array | yes | First numeric series |
y | array | yes | Second numeric series (same length as x) |
Example request
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]}'
Without payment this returns HTTP 402 Payment Required with the exact price for correlation; any x402 v2 or MPP client pays it and retries.
Example response
{
"n": 5,
"r": 1,
"rSquared": 1,
"interpretation": "perfect positive linear relationship"
}
| Field | Type | Always present | In the example |
|---|---|---|---|
n | number | yes | 5 |
r | number | yes | 1 |
rSquared | number | yes | 1 |
interpretation | string | yes | perfect positive linear relationship |
From an MCP client
catalog.call {
"slug": "correlation",
"params": {
"x": [
1,
2,
3,
4,
5
],
"y": [
2,
4,
6,
8,
10
]
}
}
On the hosted connector at https://agent402.tools/mcp, catalog.call runs correlation free (rate-limited, no wallet). Local install: npx -y agent402-mcp.
Errors and behavior
xandyare required. An input the tool rejects returns an HTTP 4xx whose body carrieserror,tool,expected,requiredandexample, so the caller can correct it.- A paid call that ends in any status of 400 or above is not charged over x402, MPP or a prepaid credits key: settlement is cancelled when the tool fails. The exception is a Tempo push credential, a transfer the buyer sent before the call: it settles before the tool runs, so if the tool then fails the payment is recorded as a refund owed to the paying wallet.
- Free tier: no outbound network call leaves the server for this tool, so proof-of-work (16 leading zero bits of sha256) pays for it.
- A
GETorHEADto /api/correlation returns the same 402 quote, so the price can be read without a body. - An
Idempotency-Keyheader makes a retried paid call replay the first 200 instead of charging again (an answer larger than 1 MB is not replayed).
Paid call (JavaScript agent)
import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";
const client = new x402Client();
client.setSpendControls?.(false); // keep your own spending ceiling in code
registerExactEvmScheme(client, { signer: privateKeyToAccount(KEY) });
const payFetch = wrapFetchWithPayment(fetch, client);
const res = await payFetch("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
]
}),
});
No wallet? Pay with compute
Fetch a challenge, solve the sha256 puzzle (16 leading zero bits, a fraction of a second of CPU), and resend with the X-Pow-Solution header:
import { createHash } from "node:crypto";
const lz = (b) => { let t = 0; for (const x of b) { if (!x) { t += 8; continue; } t += Math.clz32(x) - 24; break; } return t; };
const c = await (await fetch("https://agent402.tools/api/pow/challenge?slug=correlation")).json();
let n = 0;
while (lz(createHash("sha256").update(c.challenge + ":" + n).digest()) < c.difficulty) n++;
await fetch("https://agent402.tools/api/correlation", { method: "POST", headers: { "X-Pow-Solution": c.token + ":" + n, "Content-Type": "application/json" }, body: JSON.stringify({"x":[1,2,3,4,5],"y":[2,4,6,8,10]}) });
Part of these workflows
Correlation (Pearson) is one step in these 2 skill packs, each sold as a single call:
- Trend analysis - Take any numeric time series - a stock's daily close, a FRED macro indicator, a treasury yield history - and run it through the full quantitative workup: descriptives, moving averages, trend line, outliers, optional correlation against a benchmark, and a deterministic forecast forward with a 95% prediction interval. Everything an analyst writes a notebook for, in one chain of cheap calls.
- Number crunch - Statistical analysis suite: descriptive statistics, correlation analysis, and outlier detection on a single dataset.
Related tools
Linear regression (OLS)
POST /api/linear-regressionFit a least-squares line y = slope·x + intercept to two equal-length series. Returns slope, intercept, r² (variance expl…
FRED time series
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FRED series metadata
GET /api/fred-series-infoMetadata for a FRED series: title, frequency, units, seasonal adjustment, observation date range, and popularity. Use be…
Moving average (SMA + EMA)
POST /api/moving-averageCompute simple (SMA) and exponential (EMA) moving averages over a numeric series. Returns one value per input position -…
Outlier detection (IQR + z-score)
POST /api/outliersFlag outliers in a numeric series using either the IQR rule (Tukey fences at 1.5·IQR - robust, default) or z-score (|z| …
RSI (relative strength index)
POST /api/rsiCompute the relative strength index (Wilder's smoothing, default period 14) over a price series you supply, such as dail…