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Congress buying patterns

GET/v1/congress/stocks

Which stocks members of Congress are converging on. clusters: stocks several different members bought inside the same window — the rare pattern, counted by distinct members. most_traded: the stocks they traded most, with buys against sells and who traded them.

Each call counts against your allowance.

Parameters

Name	In	Type	What it does
`view` (required)	query	one of the values	Which pattern. One of `clusters`, `most_traded`.
`days`	query	whole number, 7–365	The window, in days back from today. Leave it out for `90`.
`min_members`	query	whole number, 2–20	clusters only: how many different members must have bought. Leave it out for `3`.
`limit`	query	whole number, 1–100	most_traded only: how many stocks. Leave it out for `20`.
`chamber`	query	one of the values	most_traded only: one chamber, or both. One of `all`, `house`, `senate`. Leave it out for `all`.

Any other parameter is refused, so a typo is caught rather than quietly ignored.

Answer

The answer is { data, asOf }. Here is data, abridged: real answers carry more fields.

data (abridged)

{
  "clusters": [
    {
      "symbol": "NVDA",
      "members": [
        "Jane Example",
        "John Sample",
        "Alex Placeholder"
      ],
      "memberCount": 3,
      "tradeCount": 4,
      "firstTradeDate": "2026-08-04T00:00:00.000Z",
      "lastTradeDate": "2026-09-30T00:00:00.000Z"
    }
  ],
  "metadata": {
    "windowDays": 90,
    "minMembers": 3,
    "total": 1
  }
}

Answers and errors covers every answer’s shape and what an error carries.

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