sentisense 0.2.0

Official Python SDK for the SentiSense market intelligence API

SentiSense Python SDK

Official Python SDK for the SentiSense market intelligence API.

Installation

pip install sentisense

Quick Start

from sentisense import SentiSenseClient

client = SentiSenseClient("your-api-key")

# Get a stock price
price = client.get_stock_price("AAPL")
print(price)

# Get multiple stock prices
prices = client.get_stock_prices(["AAPL", "MSFT", "GOOGL"])

# Check market status
status = client.get_market_status()
print(status)

# Get latest news for a stock
news = client.get_documents_by_ticker("TSLA", source="news", days=7)

# Search across news and social media
results = client.search_documents("AI earnings surprise")

# Get sentiment for a stock
sentiment = client.get_sentiment("NVDA")

Authentication

All API requests require an API key. You can generate one from your Developer Console.

client = SentiSenseClient("your-api-key")

For full endpoint documentation, request/response schemas, and interactive examples, see the API Documentation.

API Reference

Stocks

Method	Description
get_stock_price(ticker)	Real-time price for a single stock
get_stock_prices(tickers)	Real-time prices for multiple stocks
get_stock_profile(ticker)	Company profile
get_stock_chart(ticker, timeframe="1M")	OHLCV chart data
get_all_stocks()	List of available tickers
get_all_stocks_detailed()	Tickers with company names and entity IDs
get_market_status()	Market open/closed status
get_fundamentals(ticker, timeframe="quarterly")	Financial fundamentals

News & Documents

Method	Description
get_documents_by_ticker(ticker, source?, days?, hours?, limit?)	News and social posts for a stock
get_documents_by_ticker_range(ticker, start_date, end_date)	Documents within a date range
get_documents_by_entity(entity_id)	Documents for a KB entity
search_documents(query, source?, days?, limit?)	Natural language search across news and social
get_documents_by_source(source, days?, hours?, limit?)	Latest from a source ("news", "reddit", "x", "substack")
get_stories(limit?, days?, expanded?)	AI-curated news story clusters
get_story(cluster_id)	Single story with all source documents
get_stories_by_ticker(ticker, limit?)	Stories for a specific stock
get_the_news(limit?)	Curated dashboard: top stories + news stream

Sentiment & Mentions

Method	Description
get_mentions(symbol, source?, start_date?, end_date?)	Mention data across news and social
get_mention_count(symbol, source?, start_date?, end_date?)	Total mention count
get_mention_count_by_source(symbol, start_date?, end_date?)	Mentions broken down by source
get_sentiment(symbol, start_date?, end_date?)	Sentiment data for a stock
get_sentiment_by_source(symbol, date?)	Sentiment broken down by source
get_average_sentiment(symbol, start_date?, end_date?)	Average sentiment score

Institutional Flows (13F)

Method	Description
get_institutional_quarters()	Available 13F reporting quarters
get_institutional_flows(report_date, limit=50)	Fund flows for a quarter
get_stock_holders(ticker, report_date)	Institutional holders for a stock
get_activist_positions(report_date)	Activist investor positions

Error Handling

The SDK raises typed exceptions for API errors:

from sentisense import SentiSenseClient, AuthenticationError, RateLimitError

client = SentiSenseClient("your-api-key")

try:
    price = client.get_stock_price("AAPL")
except AuthenticationError:
    print("Invalid or missing API key")
except RateLimitError:
    print("Rate limit exceeded, try again later")

Exception	HTTP Status	Description
AuthenticationError	401, 403	Invalid or missing API key
NotFoundError	404	Resource not found
RateLimitError	429	Rate limit exceeded
APIError	Other 4xx/5xx	General API error

All exceptions inherit from SentiSenseError and include .status_code, .message, and .response attributes.

License

MIT - see LICENSE for details.