HALOWERK Medien
HALOWERK provides paid endpoints that AI agents call and pay for per request via x402 on Base. No account, no API key, no signup.
DataLiveeip155:8453Exactvia cdp
OssOpencvP009
Settlements · 30d
5,237↑ 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 6,901 verified settlements.
$0.0030
Listed price
As published in the catalog. Always read the live 402 before paying.
3
Calls · 30d
Upstream's own call count for this endpoint, not ours.
2
Unique payers · 30d
Last called 2026-10-25 19:39Z
—
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_robot_hand_eye_calibrate",
"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": "3000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
],
"pricing": "https://medien.halowerk.com/pricing",
"resource": {
"url": "https://medien.halowerk.com/v1/oss-opencv-robot-hand-eye-calibrate",
"tags": [
"oss",
"opencv",
"p009"
],
"mimeType": "application/json",
"description": "Solves the hand-eye problem: given a series of gripper-to-base poses read from the robot and the matching target-to-camera poses seen by the camera, it recovers the rigid transform between camera and gripper that stays constant as the arm moves. This is what lets a robot act on what its camera sees. The poses must be genuinely synchronized — a pairing that is off by one sample produces a confident and entirely wrong transform, and nothing in the data reveals it.",
"serviceName": "HALOWERK Medien",
"outputSchema": {
"$ref": "https://medien.halowerk.com/v1/oss-opencv-robot-hand-eye-calibrate/schema#/outputSchema"
},
"outputExample": {
"result": {
"warnings": [
"The target must be stationary in the robot base frame; inputs must use consistent translation units."
],
"pose_count": 6,
"camera_to_gripper": [
[
0.9838313410528072,
-0.13351671919724173,
-0.11936992107329103,
0.04999999999999844
],
[
0.0987123949919233,
0.9603808956786626,
-0.2606230962336462,
0.020000000000001246
],
[
0.14943813247359738,
0.24462587947773962,
0.9580325796404614,
0.09999999999999978
],
[
0,
0,
0,
1
]
]
},
"upstream": {
"project": "OpenCV",
"version": "4.13.0",
"components": [
"calibrateHandEye"
],
"binary_sha256": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c",
"numpy_version": "2.5.0",
"package_version": "4.13.0.92"
},
"operation": "robot-hand-eye-calibrate",
"runtime_ms": 1.24
}
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"gripper_to_base": [
[
[
0.9883261643209938,
-0.011898272648401948,
0.15188753742995567,
-0.1
],
[
0.02965868306845241,
0.9928985120353282,
-0.11520810438800028,
-0.08
],
[
-0.14943813247359922,
0.11836796824316773,
0.981660465057439,
0.9
],
[
0,
0,
0,
1
]
],
[
[
0.9900332889206209,
0.07810864350797697,
0.11718842365337251,
-0.08
],
[
-0.09933466539753062,
0.9771504070221839,
0.18790877123418434,
-0.06
],
[
-0.09983341664682815,
-0.19767681165408388,
0.975170327201816,
1.1
],
[
0,
0,
0,
1
]
],
[
[
0.9838313410528056,
-0.13931586755647624,
-0.11254768504604905,
-0.12
],
[
0.0987123949919223,
0.9461549437949042,
-0.30829642457774376,
-0.07
],
[
0.14943813247359922,
0.29220183329241467,
0.9446090901443596,
1
],
[
0,
0,
0,
1
]
],
[
[
0.9446090901443596,
0.1778630716306493,
-0.27582312188566716,
-0.07
],
[
-0.14276370081881548,
0.9794224989256464,
0.1426537567916039,
-0.1
],
[
0.29552020666133955,
-0.09537450575679464,
0.9505637859220634,
0.8
],
[
0,
0,
0,
1
]
],
[
[
0.9519758849404707,
-0.1430411600614064,
0.27070489655729324,
-0.12
],
[
0.19297506543968274,
0.9667501975957967,
-0.1677935623527856,
-0.06
],
[
-0.23770262642713458,
0.21197472013609336,
0.9479262520960516,
1.2
],
[
0,
0,
0,
1
]
],
[
[
0.9684764438206882,
-0.09024418993859348,
0.23218390113606152,
-0.1
],
[
0.029063012741622204,
0.966640457675885,
0.2544829402426335,
-0.09
],
[
-0.24740395925452294,
-0.2397127693021015,
0.9387912809451863,
0.95
],
[
0,
0,
0,
1
]
]
],
"target_to_camera": [
[
[
0.9063237102581435,
0.33288469091973355,
0.26031733475738106,
0.5204232013800494
],
[
-0.3848000025265721,
0.9047162386004,
0.1828045012254741,
-0.09917100092930925
],
[
-0.17466050005500083,
-0.26585016487491175,
0.9480598080060768,
0.25671815524783104
],
[
0,
0,
0,
1
]
],
[
[
0.9222283210537701,
0.25507749811785274,
0.2905690861056643,
0.5125007539727658
],
[
-0.2343748946366054,
0.9665051811763983,
-0.10457601791643052,
-0.18699677147137095
],
[
-0.3075115162240664,
0.02834086648488894,
0.9511222122716204,
0.008701358136651516
],
[
0,
0,
0,
1
]
],
[
[
0.7565350674425667,
0.3826417258073084,
0.5303206590364696,
0.5596770183022365
],
[
-0.5750082882699702,
0.7754833106415053,
0.2607510370781477,
-0.22671957263743936
],
[
-0.31148059353755847,
-0.5022060778083985,
0.8067024824938839,
0.032405134859663565
],
[
0,
0,
0,
1
]
],
[
[
0.7271227394292543,
0.22383053900494349,
0.6489933833358035,
0.6217218064125126
],
[
-0.24008323494454095,
0.9685694851402569,
-0.0650629906606059,
-0.10884376766944985
],
[
-0.6431582714258297,
-0.1085036509242624,
0.7580068572464532,
0.04431792492295017
],
[
0,
0,
0,
1
]
],
[
[
0.8732504913062019,
0.4636150448634498,
0.14998223097999983,
0.49446971179787524
],
[
-0.4872295048277384,
0.834827570239529,
0.25626224379194174,
-0.2805429704181118
],
[
-0.0064022698157275865,
-0.2968568984278877,
0.9549005146071401,
0.08983366223433209
],
[
0,
0,
0,
1
]
],
[
[
0.9229723671601914,
0.36672150886044824,
0.11677904091843325,
0.4715357954702587
],
[
-0.3459078789556262,
0.9234607788801362,
-0.1660359272763343,
-0.23292273219008508
],
[
-0.16872980985923255,
0.11285178248130816,
0.979180640359918,
0.24271464454929048
],
[
0,
0,
0,
1
]
]
]
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"result": {
"warnings": [
"The target must be stationary in the robot base frame; inputs must use consistent translation units."
],
"pose_count": 6,
"camera_to_gripper": [
[
0.9838313410528072,
-0.13351671919724173,
-0.11936992107329103,
0.04999999999999844
],
[
0.0987123949919233,
0.9603808956786626,
-0.2606230962336462,
0.020000000000001246
],
[
0.14943813247359738,
0.24462587947773962,
0.9580325796404614,
0.09999999999999978
],
[
0,
0,
0,
1
]
]
},
"upstream": {
"project": "OpenCV",
"version": "4.13.0",
"components": [
"calibrateHandEye"
],
"binary_sha256": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c",
"numpy_version": "2.5.0",
"package_version": "4.13.0.92"
},
"operation": "robot-hand-eye-calibrate",
"runtime_ms": 1.24
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"gripper_to_base",
"target_to_camera"
],
"properties": {
"gripper_to_base": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number",
"maximum": 1000000000,
"minimum": -1000000000
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 32,
"minItems": 3
},
"target_to_camera": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number",
"maximum": 1000000000,
"minimum": -1000000000
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 32,
"minItems": 3
}
},
"description": "Numeric JSON arrays only. Additionally enforce equal paired dimensions, nondegenerate geometry, maximum 32768 pixels/image, 131072 scalars/array, and 1048576 encoded bytes. No paths or network resources.",
"additionalProperties": false
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object",
"required": [
"operation",
"result",
"upstream",
"runtime_ms"
],
"properties": {
"result": {
"type": "object",
"required": [
"camera_to_gripper",
"pose_count",
"warnings"
],
"properties": {
"warnings": {
"type": "array",
"items": {
"type": "string",
"maxLength": 1024
},
"maxItems": 8,
"minItems": 1
},
"pose_count": {
"type": "integer",
"maximum": 32,
"minimum": 3
},
"camera_to_gripper": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number"
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 4,
"minItems": 4
}
},
"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": [
"calibrateHandEye"
]
},
"binary_sha256": {
"const": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c"
},
"numpy_version": {
"const": "2.5.0"
},
"package_version": {
"const": "4.13.0.92"
}
},
"additionalProperties": false
},
"operation": {
"const": "robot-hand-eye-calibrate"
},
"runtime_ms": {
"type": "number",
"minimum": 0
}
},
"additionalProperties": false
}
}
}
}
}
}
},
"price_usdc": "0.003",
"description": "Solves the hand-eye problem: given a series of gripper-to-base poses read from the robot and the matching target-to-camera poses seen by the camera, it recovers the rigid transform between camera and gripper that stays constant as the arm moves. This is what lets a robot act on what its camera sees. The poses must be genuinely synchronized — a pairing that is off by one sample produces a confident and entirely wrong transform, and nothing in the data reveals it.",
"inputSchema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"gripper_to_base",
"target_to_camera"
],
"properties": {
"gripper_to_base": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number",
"maximum": 1000000000,
"minimum": -1000000000
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 32,
"minItems": 3
},
"target_to_camera": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number",
"maximum": 1000000000,
"minimum": -1000000000
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 32,
"minItems": 3
}
},
"description": "Numeric JSON arrays only. Additionally enforce equal paired dimensions, nondegenerate geometry, maximum 32768 pixels/image, 131072 scalars/array, and 1048576 encoded bytes. No paths or network resources.",
"additionalProperties": false
},
"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",
"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.
0.003USDC≈ $0.003 USD
on Base · exact scheme
Pay 0.003 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
- 3000 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": "3000",
"scheme": "exact",
"network": "eip155:8453",
"maxTimeoutSeconds": 300
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"gripper_to_base": [
[
[
0.9883261643209938,
-0.011898272648401948,
0.15188753742995567,
-0.1
],
[
0.02965868306845241,
0.9928985120353282,
-0.11520810438800028,
-0.08
],
[
-0.14943813247359922,
0.11836796824316773,
0.981660465057439,
0.9
],
[
0,
0,
0,
1
]
],
[
[
0.9900332889206209,
0.07810864350797697,
0.11718842365337251,
-0.08
],
[
-0.09933466539753062,
0.9771504070221839,
0.18790877123418434,
-0.06
],
[
-0.09983341664682815,
-0.19767681165408388,
0.975170327201816,
1.1
],
[
0,
0,
0,
1
]
],
[
[
0.9838313410528056,
-0.13931586755647624,
-0.11254768504604905,
-0.12
],
[
0.0987123949919223,
0.9461549437949042,
-0.30829642457774376,
-0.07
],
[
0.14943813247359922,
0.29220183329241467,
0.9446090901443596,
1
],
[
0,
0,
0,
1
]
],
[
[
0.9446090901443596,
0.1778630716306493,
-0.27582312188566716,
-0.07
],
[
-0.14276370081881548,
0.9794224989256464,
0.1426537567916039,
-0.1
],
[
0.29552020666133955,
-0.09537450575679464,
0.9505637859220634,
0.8
],
[
0,
0,
0,
1
]
],
[
[
0.9519758849404707,
-0.1430411600614064,
0.27070489655729324,
-0.12
],
[
0.19297506543968274,
0.9667501975957967,
-0.1677935623527856,
-0.06
],
[
-0.23770262642713458,
0.21197472013609336,
0.9479262520960516,
1.2
],
[
0,
0,
0,
1
]
],
[
[
0.9684764438206882,
-0.09024418993859348,
0.23218390113606152,
-0.1
],
[
0.029063012741622204,
0.966640457675885,
0.2544829402426335,
-0.09
],
[
-0.24740395925452294,
-0.2397127693021015,
0.9387912809451863,
0.95
],
[
0,
0,
0,
1
]
]
],
"target_to_camera": [
[
[
0.9063237102581435,
0.33288469091973355,
0.26031733475738106,
0.5204232013800494
],
[
-0.3848000025265721,
0.9047162386004,
0.1828045012254741,
-0.09917100092930925
],
[
-0.17466050005500083,
-0.26585016487491175,
0.9480598080060768,
0.25671815524783104
],
[
0,
0,
0,
1
]
],
[
[
0.9222283210537701,
0.25507749811785274,
0.2905690861056643,
0.5125007539727658
],
[
-0.2343748946366054,
0.9665051811763983,
-0.10457601791643052,
-0.18699677147137095
],
[
-0.3075115162240664,
0.02834086648488894,
0.9511222122716204,
0.008701358136651516
],
[
0,
0,
0,
1
]
],
[
[
0.7565350674425667,
0.3826417258073084,
0.5303206590364696,
0.5596770183022365
],
[
-0.5750082882699702,
0.7754833106415053,
0.2607510370781477,
-0.22671957263743936
],
[
-0.31148059353755847,
-0.5022060778083985,
0.8067024824938839,
0.032405134859663565
],
[
0,
0,
0,
1
]
],
[
[
0.7271227394292543,
0.22383053900494349,
0.6489933833358035,
0.6217218064125126
],
[
-0.24008323494454095,
0.9685694851402569,
-0.0650629906606059,
-0.10884376766944985
],
[
-0.6431582714258297,
-0.1085036509242624,
0.7580068572464532,
0.04431792492295017
],
[
0,
0,
0,
1
]
],
[
[
0.8732504913062019,
0.4636150448634498,
0.14998223097999983,
0.49446971179787524
],
[
-0.4872295048277384,
0.834827570239529,
0.25626224379194174,
-0.2805429704181118
],
[
-0.0064022698157275865,
-0.2968568984278877,
0.9549005146071401,
0.08983366223433209
],
[
0,
0,
0,
1
]
],
[
[
0.9229723671601914,
0.36672150886044824,
0.11677904091843325,
0.4715357954702587
],
[
-0.3459078789556262,
0.9234607788801362,
-0.1660359272763343,
-0.23292273219008508
],
[
-0.16872980985923255,
0.11285178248130816,
0.979180640359918,
0.24271464454929048
],
[
0,
0,
0,
1
]
]
]
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"result": {
"warnings": [
"The target must be stationary in the robot base frame; inputs must use consistent translation units."
],
"pose_count": 6,
"camera_to_gripper": [
[
0.9838313410528072,
-0.13351671919724173,
-0.11936992107329103,
0.04999999999999844
],
[
0.0987123949919233,
0.9603808956786626,
-0.2606230962336462,
0.020000000000001246
],
[
0.14943813247359738,
0.24462587947773962,
0.9580325796404614,
0.09999999999999978
],
[
0,
0,
0,
1
]
]
},
"upstream": {
"project": "OpenCV",
"version": "4.13.0",
"components": [
"calibrateHandEye"
],
"binary_sha256": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c",
"numpy_version": "2.5.0",
"package_version": "4.13.0.92"
},
"operation": "robot-hand-eye-calibrate",
"runtime_ms": 1.24
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"gripper_to_base",
"target_to_camera"
],
"properties": {
"gripper_to_base": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number",
"maximum": 1000000000,
"minimum": -1000000000
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 32,
"minItems": 3
},
"target_to_camera": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number",
"maximum": 1000000000,
"minimum": -1000000000
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 32,
"minItems": 3
}
},
"description": "Numeric JSON arrays only. Additionally enforce equal paired dimensions, nondegenerate geometry, maximum 32768 pixels/image, 131072 scalars/array, and 1048576 encoded bytes. No paths or network resources.",
"additionalProperties": false
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object",
"required": [
"operation",
"result",
"upstream",
"runtime_ms"
],
"properties": {
"result": {
"type": "object",
"required": [
"camera_to_gripper",
"pose_count",
"warnings"
],
"properties": {
"warnings": {
"type": "array",
"items": {
"type": "string",
"maxLength": 1024
},
"maxItems": 8,
"minItems": 1
},
"pose_count": {
"type": "integer",
"maximum": 32,
"minimum": 3
},
"camera_to_gripper": {
"type": "array",
"items": {
"type": "array",
"items": {
"type": "number"
},
"maxItems": 4,
"minItems": 4
},
"maxItems": 4,
"minItems": 4
}
},
"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": [
"calibrateHandEye"
]
},
"binary_sha256": {
"const": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c"
},
"numpy_version": {
"const": "2.5.0"
},
"package_version": {
"const": "4.13.0.92"
}
},
"additionalProperties": false
},
"operation": {
"const": "robot-hand-eye-calibrate"
},
"runtime_ms": {
"type": "number",
"minimum": 0
}
},
"additionalProperties": false
}
}
}
}
}
}
}Provenance
- Seen in the source catalog
- 2026-10-25 19:39Z
- Last indexed by Roundhouse
- 2026-10-26 20:00Z
- 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-robot-hand-eye-calibrate, 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.