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 mention time series for a stock (v2 metrics API)
mentions = client.get_metrics("NVDA", metric_type="mentions")
# Get sentiment time series
sentiment = client.get_metrics("NVDA", metric_type="sentiment")
# Get mentions broken down by source
dist = client.get_metrics_distribution("NVDA", metric_type="mentions", dimension="source")
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_entities(ticker) |
Tracked entities related to a stock (executives, products) |
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 |
get_current_fundamentals(ticker) |
Most recent fundamentals snapshot |
get_historical_revenue(ticker) |
Historical revenue series |
get_short_interest(ticker) |
Short interest (FINRA bi-monthly) |
get_float(ticker) |
Shares float |
get_short_volume(ticker) |
Daily short-sale volume (FINRA) |
Knowledge Base
| Method | Description |
|---|---|
get_popular_kb_entities() |
Popular KB entities (search suggestions) |
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 |
Metrics (v2)
| Method | Description |
|---|---|
get_metrics(symbol, metric_type="mentions", start_time?, end_time?, max_data_points?) |
Time series for a metric (mentions, sentiment, sentisense_score, social_dominance, creators) |
get_metrics_distribution(symbol, metric_type="mentions", dimension="source", start_time?, end_time?) |
Metric distribution by dimension (e.g. mentions by source) |
Note:
start_timeandend_timeare epoch milliseconds.
Institutional Flows (13F)
| Method | Description |
|---|---|
get_institutional_quarters() |
Available 13F reporting quarters |
get_institutional_flows(report_date=None, limit=50) |
Fund flows for a quarter (omit report_date for the latest) |
get_stock_holders(ticker, report_date) |
Institutional holders for a stock |
get_activist_positions(report_date) |
Activist investor positions |
Analyst Ratings
The price target cone (mean, high, low, upside %) and consensus are free for everyone, full data via API: we give it away. Upgrade/downgrade feeds and forward EPS estimates are limited on free, unlimited on PRO.
| Method | Description |
|---|---|
get_analyst_consensus(ticker) |
Price target band (mean, high, low), analyst count, upside %. Free for everyone, full data. |
get_analyst_actions(ticker, lookback_days=90) |
Recent upgrade/downgrade actions. Free: 3 most recent. PRO: unlimited. |
get_analyst_estimates(ticker) |
Forward EPS estimates and earnings surprise history. Free: 1 quarter. PRO: full history. |
get_analyst_market_activity(lookback_days=30) |
Market-wide recent analyst actions across all tickers (PRO). |
Company KPIs (PRO)
| Method | Description |
|---|---|
get_company_kpis(ticker) |
Company-specific KPI time-series (product metrics, segment revenue). Free tier returns metadata only (empty kpis array); PRO returns full series. |
list_kpi_coverage() |
List all tickers with curated KPI coverage (free, no quota cost) |
ETFs (beta)
Composition data is public; the holdings-weighted aggregate views follow the same PRO-with-preview pattern as Analyst/Insider. Aggregates synthesize fund-level views from each constituent's per-stock data (analyst coverage, insider trades, sentiment), weighted by allocation. Every aggregate response carries a coverage block so you see exactly how much of the fund's AUM the underlying data covered.
| Method | Description |
|---|---|
list_etfs() |
Every ETF tracked by SentiSense. Returns ticker, fund name, issuer, tracked index, asset class. |
get_etf_holdings(ticker) |
Full composition: per-holding weights and freshness metadata. |
get_etf_analyst_aggregate(ticker) |
Holdings-weighted analyst consensus (weighted upside, distribution). Free: headline + coverage. PRO: + topContributors. |
get_etf_insider_aggregate(ticker, lookback_days=30) |
Holdings-weighted Form 4 net flow over a configurable window. Free: headline + buy/sell split. PRO: + topContributors. |
get_etf_sentiment_aggregate(ticker) |
Two SentiSense readings side-by-side: constituent-weighted and direct (mentions of the fund itself). |
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.
Not yet in the Python SDK
A few endpoints available in the Node SDK are intentionally not yet exposed here
(low-traffic / discovery-convenience surfaces). Call them directly over HTTP if you
need them: /api/v1/stocks/images, /api/v1/stocks/descriptions,
/api/v1/stocks/popular, /api/v1/stocks/{ticker}/entities,
/api/v1/stocks/{ticker}/ai-summary, and the metrics breakdown endpoint.
License
MIT - see LICENSE for details.
1 maintainer
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