ToolVet
75trust / 100

Annotate

by Supervision Draw in Developer tools

x402 APIPassing, checked 14 min ago

Annotate an image with detections using supervision's annotators (box, round_box, box_corner, circle, dot, ellipse, triangle, label, color, mask, polygon, halo, background_overlay, blur, pixelate, percentage_bar), applied in order. Input: base64 image up to 4 megapixels, up to 500 detections with xyxy pixel boxes and optional class_id, confidence, ASCII label, polygon. Returns the annotated image (base64 PNG or JPEG), size and counts per class.

POST
https://supervision-draw.saastemly.com/v1/annotate
Price
$0.003
per call in USDC
Uptime
100%
last 30 days
Response time
369 ms
594 ms slowest 5%
Last check
Passed
14 min ago, next in 15 min

Run a free test callHow to call it

Reliability

All checks passedSome failedAll failedNot checked

Status and outage history · Atom feed

How to call it

POST https://supervision-draw.saastemly.com/v1/annotate

Each call costs $0.003 in USDC on Base, paid with the request over x402.

Run a free test callOne unpaid request, the way an agent sends it. You see the payment challenge it gets back. Nothing is charged.

Example request

From the listing. Shortened to fit. The code below sends this shortened example too: put in your own values.

POST https://supervision-draw.saastemly.com/v1/annotate
content-type: application/json

{
  "annotators": [
    {
      "thickness": 2,
      "type": "box"
    },
    {
      "text_padding": 4,
      "text_scale": 0.4,
      "type": "label"
    }
  ],
  "class_names": [
    "car",
    "person",
    "ball"
  ],
  "detections": [
    {
      "class_id": 0,
      "confidence": 0.94,
      "xyxy": [
        30,
        60,
        90,
        120
      ]
    },
    {
      "class_id": 1,
      "confidence": 0.88,
      "xyxy": [
        140,
        40,
        180,
        115
      ]
    },
    {
      "class_id": 2,
      "confidence": 0.71,
      "xyxy": [
        190,
        90,
        225,
        125
      ]
    }
  ],
  "format": "jpeg",
  "image": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYaKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wAARCACgAPADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uH…",
  "quality": 85
}

Parameters

ParameterTypeRequiredDescription
annotatorsarray of objectNoAnnotators applied in order, each a type name or an object {"type": ..., options}. Default [box, label]. Put blur, pixelate, color, mask or background_overlay before box and label. Types: box, round_box, box_corner, circle, dot, ellipse, triangle, label, color, mask, polygon, halo, background_overl…
class_namesarray of stringNoNames indexed by class_id, used in generated labels and in counts.byClass (printable ASCII)
detectionsarray of objectYesUp to 500 detections, drawn in this order
formatstringNoOutput format (default png) One of: png, jpeg.
imagestringYesBase64 of a PNG, JPEG, BMP or WebP file (a data: URI also works), up to 4 million pixels and about 2 MB
qualityintegerNoJPEG quality 1-100 (default 90)

Example response

The provider's example. We can't check it without paying. Shortened for display.

{
  "annotators": [
    "box",
    "label"
  ],
  "counts": {
    "byClass": {
      "ball": 1,
      "car": 1,
      "person": 1
    },
    "total": 3
  },
  "detections": 3,
  "height": 160,
  "image": "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…",
  "mimeType": "image/jpeg",
  "width": 240
}

Call it from code

The curl command shows the payment challenge. The JavaScript and Python versions pay and call, and never pay more than $0.003.

curl: see the payment challenge
# bash or zsh: see the payment challenge. Nothing is charged.
curl -sS -g -i -X POST 'https://supervision-draw.saastemly.com/v1/annotate' \
  -H 'content-type: application/json' \
  --data-raw '{"annotators":[{"thickness":2,"type":"box"},{"text_padding":4,"text_scale":0.4,"type":"label"}],"class_names":["car","person","ball"],"detections":[{"class_id":0,"confidence":0.94,"xyxy":[30,60,90,120]},{"class_id":1,"confidence":0.88,"xyxy":[140,40,180,115]},{"class_id":2,"confidence":0.71,"xyxy":[190,90,225,125]}],"format":"jpeg","image":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYaKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wAARCACgAPADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uH\u2026","quality":85}'

# x402 v2 sends the challenge base64-encoded in the PAYMENT-REQUIRED header (v1 sends it in the body).
# To read the header:
curl -sS -g -o /dev/null -D - -X POST 'https://supervision-draw.saastemly.com/v1/annotate' \
  -H 'content-type: application/json' \
  --data-raw '{"annotators":[{"thickness":2,"type":"box"},{"text_padding":4,"text_scale":0.4,"type":"label"}],"class_names":["car","person","ball"],"detections":[{"class_id":0,"confidence":0.94,"xyxy":[30,60,90,120]},{"class_id":1,"confidence":0.88,"xyxy":[140,40,180,115]},{"class_id":2,"confidence":0.71,"xyxy":[190,90,225,125]}],"format":"jpeg","image":"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYaKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wAARCACgAPADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uH\u2026","quality":85}' \
  | grep -i '^payment-required:' | cut -d' ' -f2 | tr -d '\r' | base64 --decode
JavaScript: pay and call
// npm i @x402/fetch @x402/evm viem
import { wrapFetchWithPayment, x402Client } from "@x402/fetch";
import { registerExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

// Pays at most $0.003 per call.
const client = new x402Client().setSpendControls({ maxAmountPerPayment: "$0.003" });
registerExactEvmScheme(client, { signer: privateKeyToAccount(process.env.EVM_PRIVATE_KEY) });
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? ToolVet checks it first for $0.005. Pay for that from a separate
// client: this one is capped at $0.003 per payment. GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fsupervision-draw.saastemly.com%2Fv1%2Fannotate&method=POST
const res = await pay("https://supervision-draw.saastemly.com/v1/annotate", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({
    "annotators": [
      {
        "thickness": 2,
        "type": "box"
      },
      {
        "text_padding": 4,
        "text_scale": 0.4,
        "type": "label"
      }
    ],
    "class_names": [
      "car",
      "person",
      "ball"
    ],
    "detections": [
      {
        "class_id": 0,
        "confidence": 0.94,
        "xyxy": [
          30,
          60,
          90,
          120
        ]
      },
      {
        "class_id": 1,
        "confidence": 0.88,
        "xyxy": [
          140,
          40,
          180,
          115
        ]
      },
      {
        "class_id": 2,
        "confidence": 0.71,
        "xyxy": [
          190,
          90,
          225,
          125
        ]
      }
    ],
    "format": "jpeg",
    "image": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYaKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wAARCACgAPADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uH\u2026",
    "quality": 85
  }),
});
console.log(res.status, await res.text());
Python: pay and call
# pip install "x402[requests,evm]"
import os
from eth_account import Account
from x402 import x402ClientSync
from x402.http.clients import x402_requests
from x402.mechanisms.evm import EthAccountSigner
from x402.mechanisms.evm.exact.register import register_exact_evm_client

# Pays at most $0.003 per call.
client = x402ClientSync().set_spend_controls({"max_amount_per_payment": "$0.003"})
register_exact_evm_client(client, EthAccountSigner(Account.from_key(os.environ["EVM_PRIVATE_KEY"])))

with x402_requests(client) as session:
    res = session.post(
        "https://supervision-draw.saastemly.com/v1/annotate",
        json={
            "annotators": [
                {
                    "thickness": 2,
                    "type": "box",
                },
                {
                    "text_padding": 4,
                    "text_scale": 0.4,
                    "type": "label",
                },
            ],
            "class_names": [
                "car",
                "person",
                "ball",
            ],
            "detections": [
                {
                    "class_id": 0,
                    "confidence": 0.94,
                    "xyxy": [
                        30,
                        60,
                        90,
                        120,
                    ],
                },
                {
                    "class_id": 1,
                    "confidence": 0.88,
                    "xyxy": [
                        140,
                        40,
                        180,
                        115,
                    ],
                },
                {
                    "class_id": 2,
                    "confidence": 0.71,
                    "xyxy": [
                        190,
                        90,
                        225,
                        125,
                    ],
                },
            ],
            "format": "jpeg",
            "image": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAYEBQYFBAYGBQYHBwYIChAKCgkJChQODwwQFxQYGBcUFhYaHSUfGhsjHBYWICwgIyYnKSopGR8tMC0oMCUoKSj/2wBDAQcHBwoIChMKChMoGhYaKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCgoKCj/wAARCACgAPADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uH\u2026",
            "quality": 85,
        },
    )
    print(res.status_code, res.text)

Security scan

No findings

We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTimePrice
14 min agoPassed402218 ms$0.003
5 h agoPassed402371 ms$0.003
9 h agoPassed402344 ms$0.003
13 h agoPassed4022.1 s$0.003
17 h agoPassed402264 ms$0.003
Show 10 older checks
21 h agoPassed402324 ms$0.003
24 h agoPassed402261 ms$0.003
28 h agoPassed402499 ms$0.003
32 h agoPassed402357 ms$0.003
36 h agoPassed402451 ms$0.003
39 h agoPassed402379 ms$0.003
43 h agoPassed402277 ms$0.003
47 h agoPassed402273 ms$0.003
2 days agoPassed402378 ms$0.003
2 days agoPassed402414 ms$0.003