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.

MediaLiveeip155:8453Exactvia 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.
$0.0020
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 19:40Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E

The 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_robust_planar_homography",
  "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-robust-planar-homography",
    "tags": [
      "oss",
      "opencv",
      "p009"
    ],
    "mimeType": "application/json",
    "description": "Fits a 2D projective transform between two point sets with RANSAC at a caller-chosen reprojection threshold, and returns both the homography and the inlier mask. The mask is what makes this useful beyond a plain fit: bad correspondences are named rather than quietly averaged in, so a caller can re-run detection, drop a frame or raise an alarm. Suitable for document rectification, planar tracking and image stitching where the scene really is flat.",
    "serviceName": "HALOWERK Medien",
    "outputSchema": {
      "$ref": "https://medien.halowerk.com/v1/oss-opencv-robust-planar-homography/schema#/outputSchema"
    },
    "outputExample": {
      "result": {
        "warnings": [
          "A projective fit is not evidence that the depicted scene is planar."
        ],
        "homography": [
          [
            1.199999997679267,
            0.1000000233400433,
            9.999999003856683
          ],
          [
            0.02000000487172726,
            0.8999999981776593,
            -4.999999843361213
          ],
          [
            0.0005000001259268624,
            0.00020000002086012774,
            1
          ]
        ],
        "inlier_mask": [
          true,
          true,
          true,
          true,
          true,
          true,
          true,
          true,
          true,
          true,
          true,
          false
        ],
        "inlier_count": 11
      },
      "upstream": {
        "project": "OpenCV",
        "version": "4.13.0",
        "components": [
          "findHomography"
        ],
        "binary_sha256": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c",
        "numpy_version": "2.5.0",
        "package_version": "4.13.0.92"
      },
      "operation": "robust-planar-homography",
      "runtime_ms": 0.62
    }
  },
  "extensions": {
    "bazaar": {
      "info": {
        "input": {
          "body": {
            "source_points": [
              [
                5,
                10
              ],
              [
                35,
                10
              ],
              [
                70,
                10
              ],
              [
                100,
                10
              ],
              [
                5,
                50
              ],
              [
                35,
                50
              ],
              [
                70,
                50
              ],
              [
                100,
                50
              ],
              [
                5,
                90
              ],
              [
                35,
                90
              ],
              [
                70,
                90
              ],
              [
                100,
                90
              ]
            ],
            "target_points": [
              [
                16.923842707814835,
                4.081632653061225
              ],
              [
                51.986267778322706,
                4.61010299166258
              ],
              [
                91.61041465766635,
                5.207328833172614
              ],
              [
                124.52471482889733,
                5.703422053231939
              ],
              [
                20.74074074074074,
                39.604938271604944
              ],
              [
                55.47445255474452,
                39.61070559610705
              ],
              [
                94.73684210526316,
                39.61722488038278
              ],
              [
                127.35849056603773,
                39.62264150943396
              ],
              [
                24.497795198432144,
                74.57128858402744
              ],
              [
                58.90873973925639,
                74.07049734427812
              ],
              [
                97.81576448243115,
                73.50427350427351
              ],
              [
                180.1498127340824,
                13.033707865168537
              ]
            ],
            "reprojection_threshold": 1
          },
          "type": "http",
          "method": "POST",
          "bodyType": "json"
        },
        "output": {
          "type": "json",
          "example": {
            "result": {
              "warnings": [
                "A projective fit is not evidence that the depicted scene is planar."
              ],
              "homography": [
                [
                  1.199999997679267,
                  0.1000000233400433,
                  9.999999003856683
                ],
                [
                  0.02000000487172726,
                  0.8999999981776593,
                  -4.999999843361213
                ],
                [
                  0.0005000001259268624,
                  0.00020000002086012774,
                  1
                ]
              ],
              "inlier_mask": [
                true,
                true,
                true,
                true,
                true,
                true,
                true,
                true,
                true,
                true,
                true,
                false
              ],
              "inlier_count": 11
            },
            "upstream": {
              "project": "OpenCV",
              "version": "4.13.0",
              "components": [
                "findHomography"
              ],
              "binary_sha256": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c",
              "numpy_version": "2.5.0",
              "package_version": "4.13.0.92"
            },
            "operation": "robust-planar-homography",
            "runtime_ms": 0.62
          }
        }
      },
      "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": [
                  "source_points",
                  "target_points",
                  "reprojection_threshold"
                ],
                "properties": {
                  "source_points": {
                    "type": "array",
                    "items": {
                      "type": "array",
                      "items": {
                        "type": "number",
                        "maximum": 1000000000,
                        "minimum": -1000000000
                      },
                      "maxItems": 2,
                      "minItems": 2
                    },
                    "maxItems": 2048,
                    "minItems": 4
                  },
                  "target_points": {
                    "type": "array",
                    "items": {
                      "type": "array",
                      "items": {
                        "type": "number",
                        "maximum": 1000000000,
                        "minimum": -1000000000
                      },
                      "maxItems": 2,
                      "minItems": 2
                    },
                    "maxItems": 2048,
                    "minItems": 4
                  },
                  "reprojection_threshold": {
                    "type": "number",
                    "maximum": 10,
                    "minimum": 0.1
                  }
                },
                "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": [
                      "homography",
                      "inlier_mask",
                      "inlier_count",
                      "warnings"
                    ],
                    "properties": {
                      "warnings": {
                        "type": "array",
                        "items": {
                          "type": "string",
                          "maxLength": 1024
                        },
                        "maxItems": 8,
                        "minItems": 1
                      },
                      "homography": {
                        "type": "array",
                        "items": {
                          "type": "array",
                          "items": {
                            "type": "number"
                          },
                          "maxItems": 3,
                          "minItems": 3
                        },
                        "maxItems": 3,
                        "minItems": 3
                      },
                      "inlier_mask": {
                        "type": "array",
                        "items": {
                          "type": "boolean"
                        },
                        "maxItems": 2048,
                        "minItems": 4
                      },
                      "inlier_count": {
                        "type": "integer",
                        "maximum": 2048,
                        "minimum": 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": [
                          "findHomography"
                        ]
                      },
                      "binary_sha256": {
                        "const": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c"
                      },
                      "numpy_version": {
                        "const": "2.5.0"
                      },
                      "package_version": {
                        "const": "4.13.0.92"
                      }
                    },
                    "additionalProperties": false
                  },
                  "operation": {
                    "const": "robust-planar-homography"
                  },
                  "runtime_ms": {
                    "type": "number",
                    "minimum": 0
                  }
                },
                "additionalProperties": false
              }
            }
          }
        }
      }
    }
  },
  "price_usdc": "0.002",
  "description": "Fits a 2D projective transform between two point sets with RANSAC at a caller-chosen reprojection threshold, and returns both the homography and the inlier mask. The mask is what makes this useful beyond a plain fit: bad correspondences are named rather than quietly averaged in, so a caller can re-run detection, drop a frame or raise an alarm. Suitable for document rectification, planar tracking and image stitching where the scene really is flat.",
  "inputSchema": {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "source_points",
      "target_points",
      "reprojection_threshold"
    ],
    "properties": {
      "source_points": {
        "type": "array",
        "items": {
          "type": "array",
          "items": {
            "type": "number",
            "maximum": 1000000000,
            "minimum": -1000000000
          },
          "maxItems": 2,
          "minItems": 2
        },
        "maxItems": 2048,
        "minItems": 4
      },
      "target_points": {
        "type": "array",
        "items": {
          "type": "array",
          "items": {
            "type": "number",
            "maximum": 1000000000,
            "minimum": -1000000000
          },
          "maxItems": 2,
          "minItems": 2
        },
        "maxItems": 2048,
        "minItems": 4
      },
      "reprojection_threshold": {
        "type": "number",
        "maximum": 10,
        "minimum": 0.1
      }
    },
    "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.

0.002USDC≈ $0.002 USD
on Base · exact scheme

Pay 0.002 USDC on Base to 0x2880…C4E5E. The signed payment is good for 5 minutes.

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": {
        "body": {
          "source_points": [
            [
              5,
              10
            ],
            [
              35,
              10
            ],
            [
              70,
              10
            ],
            [
              100,
              10
            ],
            [
              5,
              50
            ],
            [
              35,
              50
            ],
            [
              70,
              50
            ],
            [
              100,
              50
            ],
            [
              5,
              90
            ],
            [
              35,
              90
            ],
            [
              70,
              90
            ],
            [
              100,
              90
            ]
          ],
          "target_points": [
            [
              16.923842707814835,
              4.081632653061225
            ],
            [
              51.986267778322706,
              4.61010299166258
            ],
            [
              91.61041465766635,
              5.207328833172614
            ],
            [
              124.52471482889733,
              5.703422053231939
            ],
            [
              20.74074074074074,
              39.604938271604944
            ],
            [
              55.47445255474452,
              39.61070559610705
            ],
            [
              94.73684210526316,
              39.61722488038278
            ],
            [
              127.35849056603773,
              39.62264150943396
            ],
            [
              24.497795198432144,
              74.57128858402744
            ],
            [
              58.90873973925639,
              74.07049734427812
            ],
            [
              97.81576448243115,
              73.50427350427351
            ],
            [
              180.1498127340824,
              13.033707865168537
            ]
          ],
          "reprojection_threshold": 1
        },
        "type": "http",
        "method": "POST",
        "bodyType": "json"
      },
      "output": {
        "type": "json",
        "example": {
          "result": {
            "warnings": [
              "A projective fit is not evidence that the depicted scene is planar."
            ],
            "homography": [
              [
                1.199999997679267,
                0.1000000233400433,
                9.999999003856683
              ],
              [
                0.02000000487172726,
                0.8999999981776593,
                -4.999999843361213
              ],
              [
                0.0005000001259268624,
                0.00020000002086012774,
                1
              ]
            ],
            "inlier_mask": [
              true,
              true,
              true,
              true,
              true,
              true,
              true,
              true,
              true,
              true,
              true,
              false
            ],
            "inlier_count": 11
          },
          "upstream": {
            "project": "OpenCV",
            "version": "4.13.0",
            "components": [
              "findHomography"
            ],
            "binary_sha256": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c",
            "numpy_version": "2.5.0",
            "package_version": "4.13.0.92"
          },
          "operation": "robust-planar-homography",
          "runtime_ms": 0.62
        }
      }
    },
    "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": [
                "source_points",
                "target_points",
                "reprojection_threshold"
              ],
              "properties": {
                "source_points": {
                  "type": "array",
                  "items": {
                    "type": "array",
                    "items": {
                      "type": "number",
                      "maximum": 1000000000,
                      "minimum": -1000000000
                    },
                    "maxItems": 2,
                    "minItems": 2
                  },
                  "maxItems": 2048,
                  "minItems": 4
                },
                "target_points": {
                  "type": "array",
                  "items": {
                    "type": "array",
                    "items": {
                      "type": "number",
                      "maximum": 1000000000,
                      "minimum": -1000000000
                    },
                    "maxItems": 2,
                    "minItems": 2
                  },
                  "maxItems": 2048,
                  "minItems": 4
                },
                "reprojection_threshold": {
                  "type": "number",
                  "maximum": 10,
                  "minimum": 0.1
                }
              },
              "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": [
                    "homography",
                    "inlier_mask",
                    "inlier_count",
                    "warnings"
                  ],
                  "properties": {
                    "warnings": {
                      "type": "array",
                      "items": {
                        "type": "string",
                        "maxLength": 1024
                      },
                      "maxItems": 8,
                      "minItems": 1
                    },
                    "homography": {
                      "type": "array",
                      "items": {
                        "type": "array",
                        "items": {
                          "type": "number"
                        },
                        "maxItems": 3,
                        "minItems": 3
                      },
                      "maxItems": 3,
                      "minItems": 3
                    },
                    "inlier_mask": {
                      "type": "array",
                      "items": {
                        "type": "boolean"
                      },
                      "maxItems": 2048,
                      "minItems": 4
                    },
                    "inlier_count": {
                      "type": "integer",
                      "maximum": 2048,
                      "minimum": 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": [
                        "findHomography"
                      ]
                    },
                    "binary_sha256": {
                      "const": "1fd4eb220f9986baa0ea0492cbcbedf85b868e792cbcac5f69e10d067a2f956c"
                    },
                    "numpy_version": {
                      "const": "2.5.0"
                    },
                    "package_version": {
                      "const": "4.13.0.92"
                    }
                  },
                  "additionalProperties": false
                },
                "operation": {
                  "const": "robust-planar-homography"
                },
                "runtime_ms": {
                  "type": "number",
                  "minimum": 0
                }
              },
              "additionalProperties": false
            }
          }
        }
      }
    }
  }
}

Provenance

Seen in the source catalog
2026-10-25 19:40Z
Last indexed by Roundhouse
2026-10-26 17:20Z
Last enriched (probe, favicon, geo)
2026-10-26 12:15Z
x402 version
2
Max timeout
300s
Liveness probe
HTTP 402
Report

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.

Open skill.md
Show 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-robust-planar-homography, 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.