HubVibe
Predictive probability and regression engine: least-squares linear regression with standard errors, confidence and prediction intervals, a fitted normal distribution with quantiles and probability queries (P(y > t)), exact Student t and Jarque-Bera p-values. Points inline or from a BigQuery table. Deterministic arithmetic, no LLM: the same input always returns the same numbers. Input: points or table with x_column, y_column; optional metrics, predict_x, probability_queries.
Offering
- Provider
- hubvibe-io.com
- Method
- POST
- Offering type
- Api Endpoint
- Transport type
- http
- Category
- Financial Analysis
- Delivery
- Not provided
- Pricing model
- Not provided
- x402 version
- 2
Endpoint context
- URL
https://hubvibe-io.com/work/stats/probability- MIME type
- application/json
- First seen
- 2026-10-16T01:50:53.972Z
- Last seen
- Tags
- statistics, regression, probability, prediction, confidence-interval
Payment pricing
x402 payment terms are the authoritative price for calling this endpoint.
- Payment option 1
- 0.5 USDC
Atomic price: 500000 · Network: eip155:8453 · Asset: USDC · Scheme: exact - Payment option 2
- 0.5 USDC
Atomic price: 500000 · Network: solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp · Asset: USDC · Scheme: exact
Raw x402 terms
[
{
"scheme": "exact",
"network": "eip155:8453",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "500000",
"payTo": "0x837C40E2B4e976f43Ffb4451eE281A00fA9477dd"
},
{
"scheme": "exact",
"network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
"asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
"amount": "500000",
"payTo": "J1K4mdbvXEbJLRKpgxFcA7s66LWMCYHu71ye6Hz2icSh"
}
]Observed health
- Status
- Reachable
- Latest latency
- 48 ms
- Average latency
- 50 ms
- HTTP status
- 405
- Last checked
- Reachability
- 100% over 13 checks
Latency is measured to the first response headers. A reachable result does not verify response accuracy or merchant identity.
Input schema
{
"type": "object",
"properties": {
"type": {
"type": "string",
"const": "http"
},
"method": {
"type": "string",
"enum": [
"POST",
"PUT",
"PATCH"
]
},
"bodyType": {
"type": "string",
"enum": [
"json",
"form-data",
"text"
]
},
"body": {
"type": "object",
"properties": {
"points": {
"type": "array",
"items": {
"oneOf": [
{
"type": "array",
"items": {
"type": "number"
},
"minItems": 2,
"maxItems": 2
},
{
"type": "object",
"properties": {
"x": {
"type": "number"
},
"y": {
"type": "number"
}
},
"required": [
"x",
"y"
],
"additionalProperties": false
}
]
},
"minItems": 2,
"maxItems": 100000
},
"table": {
"type": "string"
},
"x_column": {
"type": "string"
},
"y_column": {
"type": "string"
},
"max_rows": {
"type": "integer",
"minimum": 3,
"maximum": 100000
},
"metrics": {
"type": "array",
"items": {
"type": "string",
"enum": [
"linear_regression",
"normal_distribution",
"p_values",
"prediction"
]
},
"minItems": 1,
"uniqueItems": true
},
"predict_x": {
"type": "array",
"items": {
"type": "number"
},
"minItems": 1,
"maxItems": 100
},
"alpha": {
"type": "number",
"exclusiveMinimum": 0,
"exclusiveMaximum": 1
},
"distribution_of": {
"type": "string",
"enum": [
"y",
"x",
"residuals"
]
},
"probability_queries": {
"type": "array",
"maxItems": 50,
"items": {
"type": "object",
"minProperties": 1,
"maxProperties": 1,
"properties": {
"below": {
"type": "number"
},
"above": {
"type": "number"
},
"between": {
"type": "array",
"items": {
"type": "number"
},
"minItems": 2,
"maxItems": 2
}
},
"additionalProperties": false
}
},
"language": {
"type": "string",
"maxLength": 35,
"pattern": "^[A-Za-z]{2,3}(-[A-Za-z0-9]{2,8})*$"
}
},
"required": [],
"additionalProperties": false,
"oneOf": [
{
"required": [
"points"
]
},
{
"required": [
"table",
"x_column",
"y_column"
]
}
]
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"additionalProperties": false
}Output schema
{
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object"
}
}
}