import { StudioConfig, StudioV1 } from "mbd-studio-sdk";
const mbd = new StudioV1({
  config: new StudioConfig({
    apiKey: process.env.MBD_API_KEY
  })
});
// Search trending prediction markets
const candidates = await mbd.search()
  .index("polymarket-items")
  .size(50)
  .include([
    { filter: "term", field: "active",
      value: true },
    { filter: "numeric",
      field: "volume_24hr",
      operator: ">=", value: 10000 }
  ])
  .execute();
// Score with ML model
const scored = await mbd.scoring()
  .model("polymarket-rerank-v1")
  .userId("0xab2...e44")
  .itemIds(candidates.map(c => c._id))
  .execute();

import { getClient } from "@embed-ai/sdk";
const client = getClient(
  process.env.API_KEY_EMBED!
);
const feed = await client.feed
  .byWalletAddress(
    "0xab2...e44",
    "your_feed_id",
    { top_k: 25 }
  );