← The evidence ledger
Evidence row 116936
Observed , by baseline/1.
- Kind
- listing
- About
- source_record x402_bazaar:https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- b09bd6cc1092586860b57327abbbe0d167351fa7f25db876034a4e484dfce473
- Leaf
- 0x611fb11ceb1d1e315b54e645018e789d625ec4ae0336821f486e798608066424
What was observed
{
"endpoints": [
[
"x402",
"https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics"
]
],
"name": "HALOWERK Medien",
"owner_address": "0x2880edfff13100677bf97a3cbdf3bc34771c4e5e",
"raw": {
"accepts": [
{
"amount": "2000",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"asset": "USDC",
"assetTransferMethod": "eip3009",
"eip712Domain": {
"chainId": 8453,
"name": "USD Coin",
"verifyingContract": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"version": "2"
},
"name": "USD Coin",
"network_name": "Base Mainnet",
"version": "2"
},
"maxTimeoutSeconds": 300,
"network": "eip155:8453",
"payTo": "0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E",
"scheme": "exact"
}
],
"description": "Finds the external contours in a caller-supplied binary mask and reports, for each, its area, perimeter, centroid and bounding rectangle, plus the total foreground pixel count. The division of labour is deliberate: segmentation is a domain decision, so the mask comes from you and the measurement comes from here, which keeps the numbers reproducible and independent of any threshold this service might have chosen.",
"extensions": {
"bazaar": {
"info": {
"input": {
"bodyType": "json",
"exampleUrl": "https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics/schema#/requestExample",
"method": "POST",
"schemaUrl": "https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics/schema#/inputSchema",
"type": "http"
},
"output": {
"example": {
"operation": "external-contour-metrics",
"result": {
"contours": [
{
"area": 400,
"bounding_box": [
10,
10,
21,
21
],
"centroid": [
20,
20
],
"perimeter": 80,
"vertex_count": 4
},
{
"area": 200,
"bounding_box": [
50,
10,
21,
21
],
"centroid": [
56.66666666666666,
16.666666666666664
],
"perimeter": 68.28427124023438,
"vertex_count": 3
}
],
"foreground_pixels": 672,
"warnings": [
"Only external contours are measured; holes are excluded. Polygon area differs from foreground-pixel count."
]
},
"runtime_ms": 0.795,
"upstream": {
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"components": [
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"moments",
"contourArea",
"arcLength",
"boundingRect"
],
"numpy_version": "2.5.0",
"package_version": "4.13.0.92",
"project": "OpenCV",
"version": "4.13.0"
}
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"additionalProperties": true,
"properties": {
"input": {
"additionalProperties": true,
"properties": {
"bodyType": {
"const": "json"
},
"exampleUrl": {
"format": "uri",
"type": "string"
},
"method": {
"const": "POST"
},
"schemaUrl": {
"format": "uri",
"type": "string"
},
"type": {
"const": "http"
}
},
"required": [
"type",
"method",
"bodyType"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"additionalProperties": false,
"properties": {
"operation": {
"const": "external-contour-metrics"
},
"result": {
"additionalProperties": false,
"properties": {
"contours": {
"items": {
"additionalProperties": false,
"properties": {
"area": {
"minimum": 0,
"type": "number"
},
"bounding_box": {
"items": {
"minimum": 0,
"type": "integer"
},
"maxItems": 4,
"minItems": 4,
"type": "array"
},
"centroid": {
"anyOf": [
{
"items": {
"type": "number"
},
"maxItems": 2,
"minItems": 2,
"type": "array"
},
{
"type": "null"
}
]
},
"perimeter": {
"minimum": 0,
"type": "number"
},
"vertex_count": {
"minimum": 1,
"type": "integer"
}
},
"required": [
"area",
"perimeter",
"centroid",
"bounding_box",
"vertex_count"
],
"type": "object"
},
"maxItems": 128,
"minItems": 0,
"type": "array"
},
"foreground_pixels": {
"minimum": 0,
"type": "integer"
},
"warnings": {
"items": {
"maxLength": 1024,
"type": "string"
},
"maxItems": 8,
"minItems": 1,
"type": "array"
}
},
"required": [
"contours",
"foreground_pixels",
"warnings"
],
"type": "object"
},
"runtime_ms": {
"minimum": 0,
"type": "number"
},
"upstream": {
"additionalProperties": false,
"properties": {
"binary_sha256": {
"const": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c"
},
"components": {
"const": [
"findContours",
"moments",
"contourArea",
"arcLength",
"boundingRect"
]
},
"numpy_version": {
"const": "2.5.0"
},
"package_version": {
"const": "4.13.0.92"
},
"project": {
"const": "OpenCV"
},
"version": {
"const": "4.13.0"
}
},
"required": [
"project",
"version",
"package_version",
"binary_sha256",
"numpy_version",
"components"
],
"type": "object"
}
},
"required": [
"operation",
"result",
"upstream",
"runtime_ms"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
},
"lastUpdated": "2026-10-25T19:38:22.045Z",
"quality": {
"l30DaysTotalCalls": 2,
"l30DaysUniquePayers": 1,
"lastCalledAt": "2026-10-25T19:38:21.598Z"
},
"resource": "https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics",
"serviceName": "HALOWERK Medien",
"tags": [
"oss",
"opencv",
"p009"
],
"type": "http",
"x402Version": 2
},
"source": "x402_bazaar",
"summary": "Finds the external contours in a caller-supplied binary mask and reports, for each, its area, perimeter, centroid and bounding rectangle, plus the total foreground pixel count. The division of labour is deliberate: segmentation is a domain decision, so the mask comes from you and the measurement comes from here, which keeps the numbers reproducible and independent of any threshold this service might have chosen."
}What the leaf hashes
{"body":"b09bd6cc1092586860b57327abbbe0d167351fa7f25db876034a4e484dfce473","id":116936,"kind":"listing","method":"baseline/1","observed_us":1793025610448279,"prev":null,"subject":"x402_bazaar:https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics","subject_kind":"source_record"}Proof
Its day has not closed yet. A day closes ten minutes after midnight UTC; the proof appears here then.