intellectia-stock-screener
✓Verified·Scanned 2/18/2026
Get stock screener list data from Intellectia API (no auth) and summarize results.
from clawhub.ai·v69430de·5.1 KB·0 installs
Scanned from 1.0.0 at 69430de · Transparency log ↗
$ vett add clawhub.ai/intellectiaai/intellectia-stock-screener
Intellectia Stock Screener
Base URL: https://api.intellectia.ai
Endpoint
GET /gateway/v1/stock/screener-list
Full URL:
https://api.intellectia.ai/gateway/v1/stock/screener-list
Query parameters
symbol_type(int): Asset type0=stock 1=etf 2=cryptoperiod_type(int): Period0=day 1=week 2=monthtrend_type(int): Trend0=bullish 1=bearishprofit_asc(bool): Sort by profit ascending (true= small → large)market_cap(int): Market cap filter0=any1=micro <300M2=small 300M-2B3=mid 2B-10B4=large 10B-200B5=mega >200B
price(int): Price filter0=any1=<52=<503=>54=>505=5-50
page(int): Page number (example: 1)size(int): Page size (example: 20)
Response (200)
Example response (shape):
{
"ret": 0,
"msg": "",
"data": {
"list": [
{
"code": "BKD.N",
"symbol": "BKD",
"symbol_type": 0,
"name": "Brookdale Senior Living Inc",
"logo": "https://intellectia-public-documents.s3.amazonaws.com/image/logo/BKD_logo.png",
"pre_close": 14.5,
"price": 15,
"change_ratio": 3.45,
"timestamp": "1769749200",
"simiar_num": 10,
"probability": 80,
"profit": 5.27,
"klines": [{ "close": 15, "timestamp": "1769749200" }],
"trend_list": [
{
"symbol": "BKD",
"symbol_type": 0,
"is_main": true,
"list": [{ "change_ratio": 5.27, "timestamp": "1730260800", "close": 16 }]
}
],
"update_time": "1769806800"
}
],
"total": 3,
"detail": {
"cover_url": "https://d159e3ysga2l0q.cloudfront.net/image/cover_image/stock-1.png",
"name": "Stocks Bullish Tomorrow",
"screener_type": 1011,
"params": "{}",
"desc": "..."
}
}
}
Field reference
Top-level:
ret(int): Status code (typically0means success)msg(string): Message (empty string when OK)data(object): Payload
data:
data.list(array): Result rowsdata.total(int): Total number of rowsdata.detail(object): Screener metadata
Each item in data.list:
code(string): Full instrument code (may include exchange suffix, e.g.BKD.N)symbol(string): Ticker symbol (e.g.BKD)symbol_type(int): Asset type (0=stock 1=etf 2=crypto)name(string): Display namelogo(string): Logo URLpre_close(number): Previous close priceprice(number): Current pricechange_ratio(number): Percent change vs previous closetimestamp(string): Quote timestamp (Unix seconds)simiar_num(int): Similarity count (as returned by API; spelling kept as-is)probability(int): Model confidence (0-100)profit(number): Predicted/expected return (as returned by API)klines(array): Price seriesklines[].close(number): Close priceklines[].timestamp(string): Unix seconds
trend_list(array): Trend comparison seriestrend_list[].symbol(string): Symbol for the series (may be empty for non-main series)trend_list[].symbol_type(int): Asset typetrend_list[].is_main(bool): Whether this is the main seriestrend_list[].list(array): Time pointstrend_list[].list[].change_ratio(number): Percent change at that pointtrend_list[].list[].timestamp(string): Unix secondstrend_list[].list[].close(number): Close price at that point
update_time(string): Last update time (Unix seconds)
data.detail:
cover_url(string): Cover image URLname(string): Screener titlescreener_type(int): Screener type IDparams(string): Serialized params (often JSON string)desc(string): Screener descriptionnum(int, optional): As returned by API (may be absent)
Examples
cURL
curl -sS "https://api.intellectia.ai/gateway/v1/stock/screener-list?symbol_type=0&period_type=0&trend_type=0&profit_asc=false&market_cap=0&price=0&page=1&size=20"
Python (requests)
python3 - <<'PY'
import requests
base_url = "https://api.intellectia.ai"
params = {
"symbol_type": 0,
"period_type": 0,
"trend_type": 0,
"profit_asc": False,
"market_cap": 0,
"price": 0,
"page": 1,
"size": 20,
}
r = requests.get(f"{base_url}/gateway/v1/stock/screener-list", params=params, timeout=30)
r.raise_for_status()
payload = r.json()
print("ret:", payload.get("ret"))
print("msg:", payload.get("msg"))
data = payload.get("data") or {}
rows = data.get("list") or []
print("total:", data.get("total"))
for row in rows[:10]:
print(row.get("symbol"), row.get("price"), row.get("change_ratio"), row.get("probability"), row.get("profit"))
PY
Notes
- No authentication required.
- If you see rate limits, reduce
sizeand add backoff/retry in client code.