POST /api/forecast-evalBacktest a forecasting method on the input series by holding out the last `testSize` observations, forecasting them, and computing MAPE (mean absolute percentage error) + RMSE (root mean squared error). Lets an agent pick which method (mean / naive / drift / ses / holt / holt-winters) actually fits its data before committing to a forward forecast. Always returns a `warnings` array — empty when the backtest is well-posed, populated when `testSize` exceeds n/2 (treat error as indicative not predictive).
| Field | Type | Description |
|---|---|---|
values * | array | Numeric series (max 10000) |
testSize * | number | Trailing observations to hold out (1 to values.length - 2). Values above n/2 trigger a warning, not an error. |
method * | string | "mean", "naive", "drift", "ses", "holt", "holt-winters" |
alpha | number | Smoothing for ses/holt/holt-winters |
beta | number | Trend smoothing for holt/holt-winters |
gamma | number | Seasonal smoothing for holt-winters |
period | number | Seasonal period for holt-winters (auto-detected if omitted) |
seasonality | string | "additive" or "multiplicative" for holt-winters |
{
"method": "drift",
"n": 10,
"testSize": 3,
"trainSize": 7,
"mape": 1.1139,
"rmse": 0.2722,
"forecast": [
{
"step": 1,
"actual": 19,
"predicted": 19.3333
},
{
"step": 2,
"actual": 21,
"predicted": 20.6667
},
{
"step": 3,
"actual": 22,
"predicted": 22
}
],
"warnings": []
}
curl -i -X POST https://agent402.tools/api/forecast-eval \
-H "Content-Type: application/json" \
-d '{"values":[10,12,13,12,15,16,18,19,21,22],"testSize":3,"method":"drift"}'
The response is HTTP 402 Payment Required with exact payment requirements. Any x402 v2 client pays automatically and retries:
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();
registerExactEvmScheme(client, { signer: privateKeyToAccount(KEY) });
const payFetch = wrapFetchWithPayment(fetch, client);
const res = await payFetch("https://agent402.tools/api/forecast-eval", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
"values": [
10,
12,
13,
12,
15,
16,
18,
19,
21,
22
],
"testSize": 3,
"method": "drift"
}),
});
This is a pure-CPU tool, so an agent without a wallet can pay with proof-of-work instead of USDC: fetch a challenge, solve the sha256 puzzle (16 leading zero bits — a fraction of a second of CPU, no money, no AI tokens), 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=forecast-eval")).json();
let n = 0;
while (lz(createHash("sha256").update(c.challenge + ":" + n).digest()) < c.difficulty) n++;
await fetch("https://agent402.tools/api/forecast-eval", { method: "POST", headers: { "X-Pow-Solution": c.token + ":" + n, "Content-Type": "application/json" }, body: JSON.stringify({"values":[10,12,13,12,15,16,18,19,21,22],"testSize":3,"method":"drift"}) });
This tool is one step in a curated multi-tool workflow — agents can fetch the whole sequence as an MCP prompt or call https://agent402.tools/api/skill-packs/{slug}/prompt.
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