Roundhouse

Busker Object Detection

Detect and locate objects in an image (YOLOX-nano, COCO classes): people, pets (dog/cat/horse), vehicles, and 70+ more. Returns per-class counts and pixel bounding boxes. Detection only — no identification. Best on clear, medium-to-large objects.

MediaLiveeip155:8453Exactvia cdp
https://workbot1.oddsys.org/detect
DetectionVisionImagePeopleVehicles
Calls · 30d
1→ 0%
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 6 snapshots so far.
$0.19
Verified settled volume
68 settlements proven x402 by their on-chain EIP-3009 marker.
$0.010
Listed price
As published in the catalog. Always read the live 402 before paying.
1
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-07-30 10:46Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x15459498e1191d8787c83177809bd54022fA18c4

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.

Accepts

The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.

0.01USDC≈ $0.01 USD
on Base · exact scheme

Pay 0.01 USDC on Base to 0x1545…A18c4. The signed payment is good for 5 minutes.

Paid to
0x1545…A18c4
USD Coin contract
0x8335…02913
Payment window
5 minutes
As published
10000 smallest units
The catalog’s raw entry
[
  {
    "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
    "extra": {
      "name": "USD Coin",
      "version": "2"
    },
    "payTo": "0x15459498e1191d8787c83177809bd54022fA18c4",
    "amount": "10000",
    "scheme": "exact",
    "network": "eip155:8453",
    "maxTimeoutSeconds": 300
  }
]

Extensions

{
  "bazaar": {
    "info": {
      "input": {
        "body": {
          "classes": [
            "person"
          ],
          "imageBase64": "",
          "minConfidence": 0.4
        },
        "type": "http",
        "method": "POST",
        "bodyType": "json"
      },
      "output": {
        "body": {
          "meta": {
            "model": "string",
            "width": "number",
            "height": "number",
            "inferenceMs": "number"
          },
          "counts": "object (class -> count)",
          "objects": "array of { class, confidence, box: {x, y, width, height} } in source pixels"
        },
        "example": {
          "meta": {
            "model": "yolox-nano",
            "width": 1920,
            "height": 1080,
            "inputBytes": 348211,
            "inferenceMs": 1450,
            "classesFilter": null,
            "minConfidence": 0.4
          },
          "counts": {
            "dog": 1,
            "person": 2
          },
          "objects": [
            {
              "box": {
                "x": 412,
                "y": 108,
                "width": 143,
                "height": 388
              },
              "class": "person",
              "confidence": 0.87
            },
            {
              "box": {
                "x": 655,
                "y": 121,
                "width": 130,
                "height": 371
              },
              "class": "person",
              "confidence": 0.81
            },
            {
              "box": {
                "x": 220,
                "y": 340,
                "width": 180,
                "height": 160
              },
              "class": "dog",
              "confidence": 0.63
            }
          ]
        },
        "bodyType": "json"
      }
    },
    "schema": {
      "properties": {
        "input": {
          "type": "object",
          "required": [
            "type",
            "method",
            "bodyType",
            "body"
          ],
          "properties": {
            "body": {
              "type": "object",
              "required": [
                "imageBase64"
              ],
              "properties": {
                "classes": {
                  "type": "array",
                  "items": {
                    "type": "string"
                  },
                  "description": "Restrict results to these COCO class names (e.g. person, dog, cat, horse, car, bus, truck, motorcycle, bicycle). Omit for all 80 classes."
                },
                "imageBase64": {
                  "type": "string",
                  "description": "Base64-encoded image (png/jpeg/webp)."
                },
                "minConfidence": {
                  "type": "number",
                  "description": "Score threshold 0.05-0.95 (default 0.4)."
                }
              },
              "additionalProperties": false
            },
            "type": {
              "type": "string",
              "const": "http"
            },
            "method": {
              "enum": [
                "POST"
              ],
              "type": "string"
            },
            "bodyType": {
              "enum": [
                "json"
              ],
              "type": "string"
            }
          },
          "additionalProperties": false
        }
      }
    },
    "routeTemplate": "/detect"
  }
}

Provenance

Seen in the source catalog
2026-07-30 10:46Z
Last indexed by Roundhouse
2026-08-29 10:20Z
Last enriched (probe, favicon, geo)
2026-09-12 19:45Z
x402 version
2
Max timeout
300s
Liveness probe
HTTP 405
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

This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 6 snapshots so far. 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 Busker Object Detection 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=Busker%20Object%20Detection'
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://workbot1.oddsys.org/detect, 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. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402,
or use an organization key from https://roundhouseai.io/dashboard/team.

If you do not have Roundhouse tools or skills installed, read
https://roundhouseai.io/skill.md first — it is the whole procedure.