HALOWERK Medien
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.
MediaLiveeip155:8453Exactvia cdp
OssOpencvP009
Settlements · 30d
5,236↑ 54%
No per-endpoint history for this service yet, so this is payments indexed to its PROVIDER's wallet over 30 days.
$22.11
Verified settled volume
A floor: summed over 5,000 of 6,900 verified settlements.
$0.0020
Listed price
As published in the catalog. Always read the live 402 before paying.
2
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-10-25 19:38Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5EThe wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913
Provider
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Live 402 challenge
Captured by the enrichment pass, not read just now. Prices can change — always read the 402 the endpoint answers with.
{
"docs": "https://medien.halowerk.com/llms.txt",
"name": "oss_opencv_external_contour_metrics",
"error": "payment_required",
"accepts": [
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"asset": "USDC",
"version": "2",
"eip712Domain": {
"name": "USD Coin",
"chainId": 8453,
"version": "2",
"verifyingContract": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
},
"network_name": "Base Mainnet",
"assetTransferMethod": "eip3009"
},
"payTo": "0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E",
"amount": "2000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"pricing": "https://medien.halowerk.com/pricing",
"resource": {
"url": "https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics",
"tags": [
"oss",
"opencv",
"p009"
],
"mimeType": "application/json",
"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.",
"serviceName": "HALOWERK Medien",
"outputSchema": {
"$ref": "https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics/schema#/outputSchema"
},
"outputExample": {
"result": {
"contours": [
{
"area": 400,
"centroid": [
20,
20
],
"perimeter": 80,
"bounding_box": [
10,
10,
21,
21
],
"vertex_count": 4
},
{
"area": 200,
"centroid": [
56.66666666666666,
16.666666666666664
],
"perimeter": 68.28427124023438,
"bounding_box": [
50,
10,
21,
21
],
"vertex_count": 3
}
],
"warnings": [
"Only external contours are measured; holes are excluded. Polygon area differs from foreground-pixel count."
],
"foreground_pixels": 672
},
"upstream": {
"project": "OpenCV",
"version": "4.13.0",
"components": [
"findContours",
"moments",
"contourArea",
"arcLength",
"boundingRect"
],
"binary_sha256": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c",
"numpy_version": "2.5.0",
"package_version": "4.13.0.92"
},
"operation": "external-contour-metrics",
"runtime_ms": 0.795
}
},
"extensions": {
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "POST",
"bodyType": "json",
"schemaUrl": "https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics/schema#/inputSchema",
"exampleUrl": "https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics/schema#/requestExample"
},
"output": {
"type": "json",
"example": {
"result": {
"contours": [
{
"area": 400,
"centroid": [
20,
20
],
"perimeter": 80,
"bounding_box": [
10,
10,
21,
21
],
"vertex_count": 4
},
{
"area": 200,
"centroid": [
56.66666666666666,
16.666666666666664
],
"perimeter": 68.28427124023438,
"bounding_box": [
50,
10,
21,
21
],
"vertex_count": 3
}
],
"warnings": [
"Only external contours are measured; holes are excluded. Polygon area differs from foreground-pixel count."
],
"foreground_pixels": 672
},
"upstream": {
"project": "OpenCV",
"version": "4.13.0",
"components": [
"findContours",
"moments",
"contourArea",
"arcLength",
"boundingRect"
],
"binary_sha256": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c",
"numpy_version": "2.5.0",
"package_version": "4.13.0.92"
},
"operation": "external-contour-metrics",
"runtime_ms": 0.795
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType"
],
"properties": {
"type": {
"const": "http"
},
"method": {
"const": "POST"
},
"bodyType": {
"const": "json"
},
"schemaUrl": {
"type": "string",
"format": "uri"
},
"exampleUrl": {
"type": "string",
"format": "uri"
}
},
"additionalProperties": true
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object",
"required": [
"operation",
"result",
"upstream",
"runtime_ms"
],
"properties": {
"result": {
"type": "object",
"required": [
"contours",
"foreground_pixels",
"warnings"
],
"properties": {
"contours": {
"type": "array",
"items": {
"type": "object",
"required": [
"area",
"perimeter",
"centroid",
"bounding_box",
"vertex_count"
],
"properties": {
"area": {
"type": "number",
"minimum": 0
},
"centroid": {
"anyOf": [
{
"type": "array",
"items": {
"type": "number"
},
"maxItems": 2,
"minItems": 2
},
{
"type": "null"
}
]
},
"perimeter": {
"type": "number",
"minimum": 0
},
"bounding_box": {
"type": "array",
"items": {
"type": "integer",
"minimum": 0
},
"maxItems": 4,
"minItems": 4
},
"vertex_count": {
"type": "integer",
"minimum": 1
}
},
"additionalProperties": false
},
"maxItems": 128,
"minItems": 0
},
"warnings": {
"type": "array",
"items": {
"type": "string",
"maxLength": 1024
},
"maxItems": 8,
"minItems": 1
},
"foreground_pixels": {
"type": "integer",
"minimum": 0
}
},
"additionalProperties": false
},
"upstream": {
"type": "object",
"required": [
"project",
"version",
"package_version",
"binary_sha256",
"numpy_version",
"components"
],
"properties": {
"project": {
"const": "OpenCV"
},
"version": {
"const": "4.13.0"
},
"components": {
"const": [
"findContours",
"moments",
"contourArea",
"arcLength",
"boundingRect"
]
},
"binary_sha256": {
"const": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c"
},
"numpy_version": {
"const": "2.5.0"
},
"package_version": {
"const": "4.13.0.92"
}
},
"additionalProperties": false
},
"operation": {
"const": "external-contour-metrics"
},
"runtime_ms": {
"type": "number",
"minimum": 0
}
},
"additionalProperties": false
}
}
}
},
"additionalProperties": true
}
}
},
"price_usdc": "0.002",
"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.",
"inputSchema": {
"$ref": "https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics/schema#/inputSchema"
},
"price_model": "per_call",
"x402Version": 2,
"instructions": "Sign the accepted terms with an x402 client and repeat the request with the payment header.",
"payment_header": "PAYMENT-SIGNATURE",
"requestExampleUrl": "https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics/schema#/requestExample",
"capability_request": {
"url": "https://bedarf.halowerk.com/capabilities/request",
"cost": "free",
"method": "POST",
"description": "Missing a capability, or does the scope not fit? Report the need here - no payment required. Similar reports are bundled; the response returns an id you can check back on.",
"body_example": {
"max_price": 0.01,
"description": "what exactly is needed",
"requested_capability": "short label"
}
}
}Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
0.002USDC≈ $0.002 USD
on Base · exact scheme
Pay 0.002 USDC on Base to 0x2880…C4E5E. The signed payment is good for 5 minutes.
- Paid to
- 0x2880…C4E5E
- USD Coin contract
- 0x8335…02913
- Payment window
- 5 minutes
- As published
- 2000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"extra": {
"name": "USD Coin",
"asset": "USDC",
"version": "2",
"eip712Domain": {
"name": "USD Coin",
"chainId": 8453,
"version": "2",
"verifyingContract": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
},
"network_name": "Base Mainnet",
"assetTransferMethod": "eip3009"
},
"payTo": "0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E",
"amount": "2000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"type": "http",
"method": "POST",
"bodyType": "json",
"schemaUrl": "https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics/schema#/inputSchema",
"exampleUrl": "https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics/schema#/requestExample"
},
"output": {
"type": "json",
"example": {
"result": {
"contours": [
{
"area": 400,
"centroid": [
20,
20
],
"perimeter": 80,
"bounding_box": [
10,
10,
21,
21
],
"vertex_count": 4
},
{
"area": 200,
"centroid": [
56.66666666666666,
16.666666666666664
],
"perimeter": 68.28427124023438,
"bounding_box": [
50,
10,
21,
21
],
"vertex_count": 3
}
],
"warnings": [
"Only external contours are measured; holes are excluded. Polygon area differs from foreground-pixel count."
],
"foreground_pixels": 672
},
"upstream": {
"project": "OpenCV",
"version": "4.13.0",
"components": [
"findContours",
"moments",
"contourArea",
"arcLength",
"boundingRect"
],
"binary_sha256": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c",
"numpy_version": "2.5.0",
"package_version": "4.13.0.92"
},
"operation": "external-contour-metrics",
"runtime_ms": 0.795
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType"
],
"properties": {
"type": {
"const": "http"
},
"method": {
"const": "POST"
},
"bodyType": {
"const": "json"
},
"schemaUrl": {
"type": "string",
"format": "uri"
},
"exampleUrl": {
"type": "string",
"format": "uri"
}
},
"additionalProperties": true
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object",
"required": [
"operation",
"result",
"upstream",
"runtime_ms"
],
"properties": {
"result": {
"type": "object",
"required": [
"contours",
"foreground_pixels",
"warnings"
],
"properties": {
"contours": {
"type": "array",
"items": {
"type": "object",
"required": [
"area",
"perimeter",
"centroid",
"bounding_box",
"vertex_count"
],
"properties": {
"area": {
"type": "number",
"minimum": 0
},
"centroid": {
"anyOf": [
{
"type": "array",
"items": {
"type": "number"
},
"maxItems": 2,
"minItems": 2
},
{
"type": "null"
}
]
},
"perimeter": {
"type": "number",
"minimum": 0
},
"bounding_box": {
"type": "array",
"items": {
"type": "integer",
"minimum": 0
},
"maxItems": 4,
"minItems": 4
},
"vertex_count": {
"type": "integer",
"minimum": 1
}
},
"additionalProperties": false
},
"maxItems": 128,
"minItems": 0
},
"warnings": {
"type": "array",
"items": {
"type": "string",
"maxLength": 1024
},
"maxItems": 8,
"minItems": 1
},
"foreground_pixels": {
"type": "integer",
"minimum": 0
}
},
"additionalProperties": false
},
"upstream": {
"type": "object",
"required": [
"project",
"version",
"package_version",
"binary_sha256",
"numpy_version",
"components"
],
"properties": {
"project": {
"const": "OpenCV"
},
"version": {
"const": "4.13.0"
},
"components": {
"const": [
"findContours",
"moments",
"contourArea",
"arcLength",
"boundingRect"
]
},
"binary_sha256": {
"const": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c"
},
"numpy_version": {
"const": "2.5.0"
},
"package_version": {
"const": "4.13.0.92"
}
},
"additionalProperties": false
},
"operation": {
"const": "external-contour-metrics"
},
"runtime_ms": {
"type": "number",
"minimum": 0
}
},
"additionalProperties": false
}
}
}
},
"additionalProperties": true
}
}
}Provenance
- Seen in the source catalog
- 2026-10-25 19:38Z
- Last indexed by Roundhouse
- 2026-10-26 14:50Z
- Last enriched (probe, favicon, geo)
- 2026-10-26 12:15Z
- x402 version
- 2
- Max timeout
- 300s
- Liveness probe
- HTTP 402
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
No per-endpoint history for this service yet, so this is payments indexed to its PROVIDER's wallet over 30 days. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service HALOWERK Medien and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=HALOWERK%20Medien' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://medien.halowerk.com/v1/oss-opencv-external-contour-metrics, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Either pay over x402 (mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402), or ask me for an organization key, which I create at https://roundhouseai.io/dashboard/connections. If you have neither, ask before going further. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.