Intellectia Stock Forecast
Single-symbol forecast (yearly predictions) and "Should I Buy?" analysis from the Intellectia API.
Base URL: https://api.intellectia.ai
Overview
This skill covers two endpoints:
- Forecast (predictions):
GET /gateway/v1/stock/screener-public
- Why / Should I buy (analysis):
POST /gateway/v1/finance/should-i-buy
When to use this skill
Use this skill when you want to:
- Get one stock/crypto quote + yearly predictions (2026–2035)
- Answer why / should I buy for a specific ticker with a structured rationale
How to ask (high hit-rate)
If you want OpenClaw to automatically pick this skill, include:
- Intellectia
- The ticker (e.g. TSLA / AAPL / BTC-USD)
- Either forecast / prediction (for predictions) or why / should I buy (for analysis)
To force the skill: /skill intellectia-stock-forecast <your request>
Copy-ready prompts:
- "Intellectia forecast for TSLA. Show price, probability, profit, and predictions 2026–2035."
- "Why should I buy TSLA? Use Intellectia Should I Buy."
- "Should I buy AAPL? Give me conclusion, catalysts, analyst rating, and 52-week range."
- "Get Intellectia yearly predictions for BTC-USD (asset_type 2)."
Endpoints
| Use case | Method | Path |
|---|
| Forecast (predictions 2026–2035) | GET | /gateway/v1/stock/screener-public |
| Why / Should I buy analysis | POST | /gateway/v1/finance/should-i-buy |
API: Forecast (screener-public)
- Method:
GET /gateway/v1/stock/screener-public
- Query parameters:
ticker (string, required)asset_type (int, required): 0=stock 1=etf 2=crypto
- Returns:
data.list (single object) + data.prediction_2026 … data.prediction_2035
Example (cURL)
curl -sS "https://api.intellectia.ai/gateway/v1/stock/screener-public?ticker=TSLA&asset_type=0"
Example (Python)
python3 - <<'PY'
import requests
r = requests.get("https://api.intellectia.ai/gateway/v1/stock/screener-public", params={"ticker": "TSLA", "asset_type": 0}, timeout=30)
r.raise_for_status()
data = r.json().get("data") or {}
obj = data.get("list") or {}
print("symbol:", obj.get("symbol"), "price:", obj.get("price"))
for y in range(2026, 2036):
k = f"prediction_{y}"
if k in data: print(k, data[k])
PY
API: Why / Should I buy (should-i-buy)
- Method:
POST /gateway/v1/finance/should-i-buy
- Headers:
Content-Type: application/json
- Body:
{ "asset": { "ticker": "TSLA", "asset_type": 0, "locale": "en" } }
- Returns:
data.action_type, data.conclusion, catalysts, technical analysis, analyst rating, plus price context.
Example (cURL)
curl -sS -X POST "https://api.intellectia.ai/gateway/v1/finance/should-i-buy" \
-H "Content-Type: application/json" \
-d '{"asset":{"ticker":"TSLA","asset_type":0,"locale":"en"}}'
Example (Python)
python3 - <<'PY'
import requests
r = requests.post("https://api.intellectia.ai/gateway/v1/finance/should-i-buy",
json={"asset": {"ticker": "TSLA", "asset_type": 0, "locale": "en"}}, timeout=30)
r.raise_for_status()
d = r.json().get("data") or {}
print("conclusion:", d.get("conclusion"))
print("action_type:", d.get("action_type"))
print("positive_catalysts:", d.get("postive_catalysts"))
print("negative_catalysts:", d.get("negative_catalysts"))
PY
Tool configuration
| Tool | Purpose |
|---|
curl | One-off GET or POST |
python3 / requests | Scripts; pip install requests |
Using this skill in OpenClaw
clawhub install intellectia-stock-forecast
Start a new OpenClaw session, then:
openclaw skills list
openclaw skills info intellectia-stock-forecast
openclaw skills check
Disclaimer and data
- Disclaimer: The data and analysis from this skill are for informational purposes only and do not constitute financial, investment, or trading advice. Past performance and model predictions are not guarantees of future results. You are solely responsible for your investment decisions; consult a qualified professional before making financial decisions.
- Data delay: Data provided by the API (prices, predictions, analysis) may be delayed and is not necessarily real-time. Do not rely on it for time-sensitive trading decisions.
- Real-time data: For real-time or live data, visit Intellectia
Notes
- screener-public: one symbol per request.
- should-i-buy: use when the user asks "why" / "should I buy" for a symbol; use conclusion and catalysts in your answer.