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Analytics Weighted Median

by Market Intelligence API in Markets & finance

x402 APIPassing, checked 47 min ago

Use for a robust, outlier-resistant central value with weights ($0.01): send observations {value, weight}; get the value where cumulative weight reaches half the total. Deterministic definition, exact ties take the midpoint; works on any numeric data you supply.

POST https://api.marketintelligenceapi.com/api/v1/analytics/weighted-median

Last 30 days

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Uptime
100%
Response time
57 ms typical, 57 ms slowest 5%
Last check
47 min ago
Next check
any minute now

How to call it

# See the payment challenge (nothing is charged)
curl -i -X POST "https://api.marketintelligenceapi.com/api/v1/analytics/weighted-median" \
  -H "content-type: application/json" \
  -d '{"observations":[{"value":10,"weight":1},{"value":20,"weight":5},{"value":100,"weight":1}]}'
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%2Fapi.marketintelligenceapi.com%2Fapi%2Fv1%2Fanalytics%2Fweighted-median
const res = await pay("https://api.marketintelligenceapi.com/api/v1/analytics/weighted-median", {
  method: "POST",
  headers: { "content-type": "application/json" },
  body: JSON.stringify({"observations":[{"value":10,"weight":1},{"value":20,"weight":5},{"value":100,"weight":1}]}),
});
console.log(await res.json());

Example input

{
  "observations": [
    {
      "value": 10,
      "weight": 1
    },
    {
      "value": 20,
      "weight": 5
    },
    {
      "value": 100,
      "weight": 1
    }
  ]
}

Example output

{
  "method": "WEIGHTED_MEDIAN_MIDPOINT",
  "observations": 3,
  "operation": "weighted-median",
  "result": 20,
  "totalWeight": 7,
  "weightedMedian": 20
}

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Recent checks

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