Market data

Rank the universe by performance

Every buyable asset with real 12-month return, volatility and drawdown figures, ready to sort.

GET /api/screener returns every buyable asset with four figures computed from 12 months of real price history, so you can rank the universe instead of guessing. Assets with no honest public history are dropped rather than ranked on a faked series.

GET /api/screener · public, no token required · 60 requests per 60 seconds per IP. Base URL, response envelope, and error shapes: conventions.

The screener shares its cached computation with Vera’s allocation prompt, so a page full of clients costs at most one upstream build per window.

Parameters

None. The route returns the whole buyable set.

Response

{ assets, asOf }. asOf is the ISO timestamp of the response. assets is an array of stat rows, one per buyable asset with usable history:

Field	Type	Description
`symbol`	string	The asset ticker, for example `NVDA`.
`ret1yPct`	number \| null	Total return over the last ~12 months, percent.
`ret3mPct`	number \| null	Return over the last ~3 months, percent. `null` when history is too short.
`volPct`	number	Annualized daily volatility, percent.
`maxDrawdownPct`	number	Worst peak-to-trough drop over the period, percent (a positive number).
`noData`	boolean	Always `false` in the response.

Example

curl "https://monvera.best/api/screener"

{
  "assets": [
    {
      "symbol": "NVDA",
      "ret1yPct": 38.42,
      "ret3mPct": 9.61,
      "volPct": 41.27,
      "maxDrawdownPct": 22.84,
      "noData": false
    },
    {
      "symbol": "SGOV",
      "ret1yPct": 4.91,
      "ret3mPct": 1.24,
      "volPct": 0.41,
      "maxDrawdownPct": 0.06,
      "noData": false
    }
  ],
  "asOf": "2026-07-08T14:03:11.204Z"
}

Sort client-side on whichever column you care about:

const { assets } = await (await fetch("https://monvera.best/api/screener")).json();
const ranked = [...assets].sort((a, b) => (b.ret1yPct ?? 0) - (a.ret1yPct ?? 0));