Backtest a forecasting method on the input series by holding out the last `testS
Backtest 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.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
943 msmedian answer time
$0.001listed price per call
$0.001price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://agent402.tools/api/forecast-eval
| Category | Everything else |
|---|---|
| Provider host | agent402.tools |
| Networks | algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8=, eip155:10, eip155:1329, eip155:137, eip155:143, eip155:42161, eip155:42220, eip155:43114, eip155:4663, eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp, stellar:pubnet |
| Payment schemes | exact, upto |
| Self-reported calls, 30 days | 5 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.001 | 943 ms |
Example input (from the provider)
{
"body": {
"method": "drift",
"testSize": 3,
"values": [
10,
12,
13,
12,
15,
16,
18,
19,
21,
22
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"alpha": {
"description": "Smoothing for ses/holt/holt-winters",
"type": "number"
},
"beta": {
"description": "Trend smoothing for holt/holt-winters",
"type": "number"
},
"gamma": {
"description": "Seasonal smoothing for holt-winters",
"type": "number"
},
"method": {
"description": "\"mean\", \"naive\", \"drift\", \"ses\", \"holt\", \"holt-winters\"",
"type": "string"
},
"period": {
"description": "Seasonal period for holt-winters (auto-detected if omitted)",
"type": "number"
},
"seasonality": {
"description": "\"additive\" or \"multiplicative\" for holt-winters",
"type": "string"
},
"testSize": {
"description": "Trailing observations to hold out (1 to values.length - 2). Values above n/2 trigger a warning, not an error.",
"type": "number"
},
"values": {
"description": "Numeric series (max 10000)",
"type": "array"
}
},
"required": [
"values",
"testSize",
"method"
]
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"forecast": {
"items": {
"properties": {
"actual": {
"type": "integer"
},
"predicted": {
"type": "number"
},
"step": {
"type": "integer"
}
},
"type": "object"
},
"type": "array"
},
"mape": {
"type": "number"
},
"method": {
"type": "string"
},
"n": {
"type": "integer"
},
"rmse": {
"type": "number"
},
"testSize": {
"type": "integer"
},
"trainSize": {
"type": "integer"
},
"warnings": {
"type": "array"
}
},
"required": [
"method",
"n",
"testSize",
"trainSize",
"mape",
"rmse",
"forecast",
"warnings"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}