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Assistant Sector Ml Email Routing Confusion

by Email routing - Confusion matrix in Email & messaging

x402 APIFailing, checked 48 min ago

Email routing - Confusion matrix: Confusion matrix for Email routing. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded confusion matrix deliverable.

POST https://market.datapackvibe.com/x402/assistant-sector-ml-email-routing-confusion

Last 30 days

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Uptime
61.1%
Response time
1.0 s typical, 2.1 s slowest 5%
Last check
48 min ago: Expected HTTP 402, got 530
Next check
in 12 min

How to call it

# bash or zsh: see the payment challenge (nothing is charged)
curl -g -i -X POST 'https://market.datapackvibe.com/x402/assistant-sector-ml-email-routing-confusion' \
  -H 'content-type: application/json' \
  --data-raw '{"records":[{"actual":"sales","id":"example-0-0","predicted":"sales","text":"sales sample document number 0 for this supplied dataset."},{"actual":"sales","id":"example-0-1","predicted":"sales","text":"sales sample document number 1 for this supplied dataset."},{"actual":"sales","id":"example-0-2","predicted":"sales","text":"sales sample document number 2 for this supplied dataset."},{"actual":"support","id":"example-1-0","predicted":"support","text":"support sample document number 0 for this supplied dataset."},{"actual":"support","id":"example-1-1","predicted":"support","text":"support sample document number 1 for this supplied dataset."},{"actual":"support","id":"example-1-2","predicted":"support","text":"support sample document number 2 for this supplied dataset."},{"actual":"operations","id":"example-2-0","predicted":"operations","text":"operations sample document number 0 for this supplied dataset."},{"actual":"operations","id":"example-2-1","predicted":"operations","text":"operations sample document number 1 for this supplied dataset."},{"actual":"operations","id":"example-2-2","predicted":"operations","text":"operations sample document number 2 for this supplied dataset."},{"actual":"other","id":"example-3-0","predicted":"other","text":"other sample document number 0 for this supplied dataset."},{"actual":"other","id":"example-3-1","predicted":"other","text":"other sample document number 1 for this supplied dataset."},{"actual":"other","id":"example-3-2","predicted":"other","text":"other sample document number 2 for this supplied dataset."}]}'
import { wrapFetchWithPayment } from "@x402/fetch";
import { x402Client } from "@x402/core/client";
import { ExactEvmScheme } from "@x402/evm/exact/client";
import { privateKeyToAccount } from "viem/accounts";

const client = new x402Client().register(
  "eip155:8453",
  new ExactEvmScheme(privateKeyToAccount(process.env.AGENT_KEY)),
);
const pay = wrapFetchWithPayment(fetch, client);

// Not sure it's safe to pay? Preflight it first for $0.005:
// GET https://toolvet.app/api/v1/check?url=https%3A%2F%2Fmarket.datapackvibe.com%2Fx402%2Fassistant-sector-ml-email-routing-confusion
const res = await pay("https://market.datapackvibe.com/x402/assistant-sector-ml-email-routing-confusion", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: "{\"records\":[{\"actual\":\"sales\",\"id\":\"example-0-0\",\"predicted\":\"sales\",\"text\":\"sales sample document number 0 for this supplied dataset.\"},{\"actual\":\"sales\",\"id\":\"example-0-1\",\"predicted\":\"sales\",\"text\":\"sales sample document number 1 for this supplied dataset.\"},{\"actual\":\"sales\",\"id\":\"example-0-2\",\"predicted\":\"sales\",\"text\":\"sales sample document number 2 for this supplied dataset.\"},{\"actual\":\"support\",\"id\":\"example-1-0\",\"predicted\":\"support\",\"text\":\"support sample document number 0 for this supplied dataset.\"},{\"actual\":\"support\",\"id\":\"example-1-1\",\"predicted\":\"support\",\"text\":\"support sample document number 1 for this supplied dataset.\"},{\"actual\":\"support\",\"id\":\"example-1-2\",\"predicted\":\"support\",\"text\":\"support sample document number 2 for this supplied dataset.\"},{\"actual\":\"operations\",\"id\":\"example-2-0\",\"predicted\":\"operations\",\"text\":\"operations sample document number 0 for this supplied dataset.\"},{\"actual\":\"operations\",\"id\":\"example-2-1\",\"predicted\":\"operations\",\"text\":\"operations sample document number 1 for this supplied dataset.\"},{\"actual\":\"operations\",\"id\":\"example-2-2\",\"predicted\":\"operations\",\"text\":\"operations sample document number 2 for this supplied dataset.\"},{\"actual\":\"other\",\"id\":\"example-3-0\",\"predicted\":\"other\",\"text\":\"other sample document number 0 for this supplied dataset.\"},{\"actual\":\"other\",\"id\":\"example-3-1\",\"predicted\":\"other\",\"text\":\"other sample document number 1 for this supplied dataset.\"},{\"actual\":\"other\",\"id\":\"example-3-2\",\"predicted\":\"other\",\"text\":\"other sample document number 2 for this supplied dataset.\"}]}",
});
console.log(await res.json());

Example input

{
  "records": [
    {
      "actual": "sales",
      "id": "example-0-0",
      "predicted": "sales",
      "text": "sales sample document number 0 for this supplied dataset."
    },
    {
      "actual": "sales",
      "id": "example-0-1",
      "predicted": "sales",
      "text": "sales sample document number 1 for this supplied dataset."
    },
    {
      "actual": "sales",
      "id": "example-0-2",
      "predicted": "sales",
      "text": "sales sample document number 2 for this supplied dataset."
    },
    {
      "actual": "support",
      "id": "example-1-0",
      "predicted": "support",
      "text": "support sample document number 0 for this supplied dataset."
    },
    {
      "actual": "support",
      "id": "example-1-1",
      "predicted": "support",
      "text": "support sample document number 1 for this supplied dataset."
    },
    {
      "actual": "support",
      "id": "example-1-2",
      "predicted": "support",
      "text": "support sample document number 2 for this supplied dataset."
    },
    {
      "actual": "operations",
      "id": "example-2-0",
      "predicted": "operations",
      "text": "operations sample document number 0 for this supplied dataset."
    },
    {
      "actual": "operations",
      "id": "example-2-1",
      "predicted": "operations",
      "text": "operations sample document number 1 for this supplied dataset."
    },
    {
      "actual": "operations",
      "id": "example-2-2",
      "predicted": "operations",
      "text": "operations sample document number 2 for this supplied dataset."
    },
    {
      "actual": "other",
      "id": "example-3-0",
      "predicted": "other",
      "text": "other sample document number 0 for this supplied dataset."
    },
    {
      "actual": "other",
      "id": "example-3-1",
      "predicted": "other",
      "text": "other sample document number 1 for this supplied dataset."
    },
    {
      "actual": "other",
      "id": "example-3-2",
      "predicted": "other",
      "text": "other sample document number 2 for this supplied dataset."
    }
  ]
}

Example output

{
  "files": [],
  "order_id": "ord_example",
  "result": {
    "completed": true,
    "workflow": "sector-ml-email-routing-confusion"
  },
  "sku": "assistant-sector-ml-email-routing-confusion",
  "status": "delivered"
}

Security scan

  • No findings. We scan names, descriptions and tool definitions for hidden instructions and other prompt-injection patterns.

Recent checks

WhenResultHTTPTimePrice
48 min agoExpected HTTP 402, got 53053037 ms-
4 h agoExpected HTTP 402, got 53053038 ms-
8 h agoExpected HTTP 402, got 53053035 ms-
12 h agoPassed4022.1 s$0.01
16 h agoPassed4021.0 s$0.01
20 h agoPassed40263 ms$0.01
24 h agoExpected HTTP 402, got 53053041 ms-
27 h agoExpected HTTP 402, got 53053040 ms-
30 h agoExpected HTTP 402, got 53053040 ms-
34 h agoPassed40255 ms$0.01
38 h agoPassed40258 ms$0.01
41 h agoTimed out---
45 h agoPassed4022.1 s$0.01
2 days agoPassed4021.0 s$0.01
2 days agoPassed4022.1 s$0.01