Stock Screener

Get stock screener list data from Intellectia API (no auth) and summarize results.

MIT-0 · Free to use, modify, and redistribute. No attribution required.
1 · 1.6k · 2 current installs · 2 all-time installs
MIT-0
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Purpose & Capability
Name/description (stock screener from Intellectia) matches the declared requirements: curl and python3 for making HTTP requests and parsing JSON, plus pip-installing the 'requests' library. Nothing requested (no credentials, no unrelated binaries) appears out of scope.
Instruction Scope
SKILL.md only documents how to call the documented Intellectia endpoint (curl and Python examples), describes response fields, and suggests handling rate limits. It does not instruct reading local files, accessing unrelated environment variables, or sending data to unexpected endpoints.
Install Mechanism
Install spec is a single pip dependency: 'requests'. This is proportionate for Python HTTP usage and uses a standard package manager rather than downloading arbitrary archives or external scripts.
Credentials
No environment variables, credentials, or config paths are required. The skill accesses only a public, unauthenticated API endpoint, so requested environment access is minimal and appropriate.
Persistence & Privilege
The skill does not request always:true or other elevated persistence flags. Model invocation is allowed by default (disableModelInvocation not set), which is reasonable given the skill only makes public API queries; users who prefer to prevent autonomous calls can set disableModelInvocation.
Assessment
This is an instruction-only skill that fetches public screener data from https://api.intellectia.ai and summarizes it. Before installing, confirm you are comfortable with the agent making outbound HTTP requests to that external API and with pip installing the standard 'requests' package into the environment. If you do not want the model to call the API autonomously, enable disableModelInvocation for the skill or require explicit user invocation. No credentials or local file access are requested by this skill.

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.0
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License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Runtime requirements

Binscurl, python3

SKILL.md

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 type 0=stock 1=etf 2=crypto
  • period_type (int): Period 0=day 1=week 2=month
  • trend_type (int): Trend 0=bullish 1=bearish
  • profit_asc (bool): Sort by profit ascending (true = small → large)
  • market_cap (int): Market cap filter
    • 0=any
    • 1=micro <300M
    • 2=small 300M-2B
    • 3=mid 2B-10B
    • 4=large 10B-200B
    • 5=mega >200B
  • price (int): Price filter
    • 0=any
    • 1=<5
    • 2=<50
    • 3=>5
    • 4=>50
    • 5=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 (typically 0 means success)
  • msg (string): Message (empty string when OK)
  • data (object): Payload

data:

  • data.list (array): Result rows
  • data.total (int): Total number of rows
  • data.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 name
  • logo (string): Logo URL
  • pre_close (number): Previous close price
  • price (number): Current price
  • change_ratio (number): Percent change vs previous close
  • timestamp (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 series
    • klines[].close (number): Close price
    • klines[].timestamp (string): Unix seconds
  • trend_list (array): Trend comparison series
    • trend_list[].symbol (string): Symbol for the series (may be empty for non-main series)
    • trend_list[].symbol_type (int): Asset type
    • trend_list[].is_main (bool): Whether this is the main series
    • trend_list[].list (array): Time points
      • trend_list[].list[].change_ratio (number): Percent change at that point
      • trend_list[].list[].timestamp (string): Unix seconds
      • trend_list[].list[].close (number): Close price at that point
  • update_time (string): Last update time (Unix seconds)

data.detail:

  • cover_url (string): Cover image URL
  • name (string): Screener title
  • screener_type (int): Screener type ID
  • params (string): Serialized params (often JSON string)
  • desc (string): Screener description
  • num (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 size and add backoff/retry in client code.

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