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Assistant Sector Analytics Api Usage Describe

by API usage - Numeric distribution in Company & people data

x402 APIPassing, checked 1 h ago

API usage - Numeric distribution: Numeric distribution for API usage. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded numeric distribution deliverable.

POST https://market.datapackvibe.com/x402/assistant-sector-analytics-api-usage-describe

Last 30 days

All checks passedSome failedAll failedNot checked
Uptime
73.3%
Response time
1.1 s typical, 5.8 s slowest 5%
Last check
1 h ago
Next check
any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://market.datapackvibe.com/x402/assistant-sector-analytics-api-usage-describe" \
  -H "content-type: application/json" \
  -d '{"field":"requests","rows":[{"date":"2026-10-01","endpoint":"group-a","latency_ms":1,"requests":10,"row_id":"row-1"},{"date":"2026-10-02","endpoint":"group-b","latency_ms":2,"requests":20,"row_id":"row-2"},{"date":"2026-10-03","endpoint":"group-a","latency_ms":3,"requests":15,"row_id":"row-3"},{"date":"2026-10-04","endpoint":"group-b","latency_ms":4,"requests":30,"row_id":"row-4"}]}'
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-analytics-api-usage-describe
const res = await pay("https://market.datapackvibe.com/x402/assistant-sector-analytics-api-usage-describe", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"field":"requests","rows":[{"date":"2026-10-01","endpoint":"group-a","latency_ms":1,"requests":10,"row_id":"row-1"},{"date":"2026-10-02","endpoint":"group-b","latency_ms":2,"requests":20,"row_id":"row-2"},{"date":"2026-10-03","endpoint":"group-a","latency_ms":3,"requests":15,"row_id":"row-3"},{"date":"2026-10-04","endpoint":"group-b","latency_ms":4,"requests":30,"row_id":"row-4"}]}),
});
console.log(await res.json());

Example input

{
  "field": "requests",
  "rows": [
    {
      "date": "2026-10-01",
      "endpoint": "group-a",
      "latency_ms": 1,
      "requests": 10,
      "row_id": "row-1"
    },
    {
      "date": "2026-10-02",
      "endpoint": "group-b",
      "latency_ms": 2,
      "requests": 20,
      "row_id": "row-2"
    },
    {
      "date": "2026-10-03",
      "endpoint": "group-a",
      "latency_ms": 3,
      "requests": 15,
      "row_id": "row-3"
    },
    {
      "date": "2026-10-04",
      "endpoint": "group-b",
      "latency_ms": 4,
      "requests": 30,
      "row_id": "row-4"
    }
  ]
}

Example output

{
  "files": [],
  "order_id": "ord_example",
  "result": {
    "completed": true,
    "workflow": "sector-analytics-api-usage-describe"
  },
  "sku": "assistant-sector-analytics-api-usage-describe",
  "status": "delivered"
}

Security scan

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

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