Holt's linear trend method
Holt's linear trend method - level + trend (no seasonality). Two smoothing parameters: alpha (level) and beta (trend). Forecast extrapolates as a straight line from the last fitted level along the last fitted trend, so it grows or shrinks linearly with horizon. Use this when your series has a persistent up/down trend but no seasonal cycle (e.g. a SaaS MRR climb, a deflating cohort retention curve).
Answeringour last check, 2026-09-24
1 of 1checks answered this week
948 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-holt
| 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 | $0.001 | 948 ms |
Example input (from the provider)
{
"body": {
"alpha": 0.5,
"beta": 0.3,
"horizon": 3,
"values": [
100,
105,
111,
118,
124,
131,
137,
144,
150,
157
]
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"alpha": {
"description": "Level smoothing, 0 < alpha < 1 (default 0.5)",
"type": "number"
},
"beta": {
"description": "Trend smoothing, 0 < beta < 1 (default 0.3)",
"type": "number"
},
"horizon": {
"description": "Number of future periods to forecast (1 to 1000)",
"type": "number"
},
"values": {
"description": "Numeric series in chronological order (max 10000, min 4)",
"type": "array"
}
},
"required": [
"values",
"horizon"
]
},
"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": {
"alpha": {
"type": "number"
},
"beta": {
"type": "number"
},
"forecast": {
"items": {
"properties": {
"lower95": {
"type": "number"
},
"point": {
"type": "number"
},
"step": {
"type": "integer"
},
"upper95": {
"type": "number"
}
},
"type": "object"
},
"type": "array"
},
"horizon": {
"type": "integer"
},
"method": {
"type": "string"
},
"n": {
"type": "integer"
}
},
"required": [
"method",
"n",
"horizon",
"alpha",
"beta",
"forecast"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}