Skip to main content
Find relevant markets across Polymarket and Kalshi using vector similarity search. Tremor embeds market metadata and compares it against the embedding of your natural-language query.
The embedding service runs inside Tremor—no additional API keys required. Requests are limited to 30 per minute per API key.

​
Request parameters

​
query
string
required
Natural-language description of the markets you want to find.
​
limit
integer
default:"20"
Maximum number of markets to return.
​
platform
string
Restrict results to polymarket or kalshi. Omit for a blended ranking.
​
min_volume
number
Filter out thin markets based on 24h volume.
​
only_active
boolean
default:"false"
Return only markets that are still trading.

​
Example Response

{
  "query": "election markets with high volume",
  "results": [
    {
      "result_type": "market",
      "platform": "polymarket",
      "title": "Trump wins 2024 presidential election",
      "subtitle": "Will Donald Trump win the 2024 U.S. presidential election?",
      "category": "Politics",
      "ticker": "trump-2024",
      "event_ticker": "us-election-2024",
      "similarity": 0.92,
      "volume": 1245678.90,
      "yes_bid": 0.47,
      "yes_ask": 0.49,
      "status": "active"
    },
    {
      "result_type": "market",
      "platform": "kalshi",
      "title": "Presidential Election 2024 Winner",
      "category": "Politics",
      "ticker": "pres-2024",
      "similarity": 0.87,
      "volume": 987654.32,
      "yes_bid": 0.46,
      "yes_ask": 0.48,
      "status": "active"
    }
  ],
  "total": 2
}

​
Response highlights

Each result includes similarity scores, current liquidity metrics, and price quotes (bid/ask for Kalshi, yes/no probabilities for Polymarket). Use these signals to build recommendation systems or to seed arbitrage scanners.