adanos 1.3.0

Python SDK for the Adanos Market Sentiment API

adanos

adanos is the public Python SDK for the Adanos Market Sentiment API.

It gives you typed access to:

• Reddit stock sentiment
• News sentiment and source-filtered rankings
• X/Twitter stock sentiment
• Polymarket stock activity and market attention
• Reddit crypto sentiment

Links:

• Source: https://github.com/adanos-software/adanos-python-sdk
• PyPI: https://pypi.org/project/adanos/
• API docs: https://api.adanos.org/docs
• Homepage: https://adanos.org

Package and import:

• PyPI package: adanos
• Python import: adanos

Install

python3 -m pip install adanos

Quick Start

from adanos import AdanosClient

client = AdanosClient(api_key="sk_live_...")

trending = client.reddit.trending(days=7, limit=10)
tsla = client.reddit.stock("TSLA", days=14)
explanation = client.reddit.explain("TSLA")

print(trending[0].ticker)
print(tsla.buzz_score)
print(explanation.explanation)

What You Can Do

• Rank trending stocks across Reddit, News, X, and Polymarket
• Pull service-level market sentiment snapshots across every public namespace
• Pull detailed ticker reports for a fixed lookback window
• Search and compare tickers across datasets
• Generate AI-written explanations for Reddit and News stock trends
• Track Reddit crypto tokens via the same client
• Use sync or async methods without changing the namespace structure

Namespaces

• client.reddit.* for Reddit Stocks
• client.news.* for News Stocks
• client.x.* for X/Twitter Stocks
• client.polymarket.* for Polymarket Stocks
• client.crypto.* for Reddit Crypto
• client.reddit_crypto.* is an alias for client.crypto.*

Examples

Reddit Stocks

from adanos import AdanosClient

client = AdanosClient(api_key="sk_live_...")

trending = client.reddit.trending(days=7, limit=10)
sectors = client.reddit.trending_sectors(days=7, limit=10)
countries = client.reddit.trending_countries(days=7, limit=10)
tsla = client.reddit.stock("TSLA", days=14)
explanation = client.reddit.explain("TSLA")
results = client.reddit.search("Tesla", days=7, limit=10)
comparison = client.reddit.compare(["TSLA", "AAPL", "MSFT"], days=7)
market = client.reddit.market_sentiment(days=7)

News

from adanos import AdanosClient

client = AdanosClient(api_key="sk_live_...")

news_trending = client.news.trending(days=7, source="reuters")
sectors = client.news.trending_sectors(days=7, source="reuters")
countries = client.news.trending_countries(days=7, source="reuters")
nvda = client.news.stock("NVDA", days=7)
explanation = client.news.explain("NVDA")
results = client.news.search("Nvidia", days=7, limit=10)
comparison = client.news.compare(["NVDA", "AAPL"], days=7)
market = client.news.market_sentiment(days=7)
stats = client.news.stats()
health = client.news.health()

X/Twitter

from adanos import AdanosClient

client = AdanosClient(api_key="sk_live_...")

x_trending = client.x.trending(days=1, limit=20)
sectors = client.x.trending_sectors(days=1, limit=10)
countries = client.x.trending_countries(days=1, limit=10)
nvda = client.x.stock("NVDA")
explanation = client.x.explain("NVDA")
results = client.x.search("Nvidia", days=7, limit=10)
comparison = client.x.compare(["NVDA", "AMD"], days=7)
market = client.x.market_sentiment(days=7)
stats = client.x.stats()
health = client.x.health()

Polymarket

from adanos import AdanosClient

client = AdanosClient(api_key="sk_live_...")

pm_trending = client.polymarket.trending(days=7, limit=20, type="stock")
sectors = client.polymarket.trending_sectors(days=7, limit=10)
countries = client.polymarket.trending_countries(days=7, limit=10)
aapl = client.polymarket.stock("AAPL")
results = client.polymarket.search("Apple", days=7, limit=10)
comparison = client.polymarket.compare(["AAPL", "TSLA"], days=7)
market = client.polymarket.market_sentiment(days=7)
stats = client.polymarket.stats()
health = client.polymarket.health()

Polymarket semantics:

• buzz_score is activity-first and optimized for current market attention
• total_liquidity is a windowed signal over the selected days
• top_mentions on stock() are relevance-sorted by trading activity first

Reddit Crypto

from adanos import AdanosClient

client = AdanosClient(api_key="sk_live_...")

trending = client.crypto.trending(days=7, limit=20)
btc = client.crypto.token("BTC", days=14)
results = client.crypto.search("bitcoin", days=7, limit=10)
comparison = client.crypto.compare(["BTC", "ETH"], days=7)
market = client.crypto.market_sentiment(days=7)
stats = client.crypto.stats()
health = client.crypto.health()

Available Methods

client.reddit.*

Method	Description
trending(days, limit, offset, type)	Trending stocks by buzz score
trending_sectors(days, limit, offset)	Trending sectors
trending_countries(days, limit, offset)	Trending countries
stock(ticker, days)	Detailed sentiment for a ticker
explain(ticker)	AI-generated trend explanation
search(query, days, limit)	Search stocks by name or ticker with a summary block
compare(tickers, days)	Compare up to 10 stocks
market_sentiment(days)	Service-level Reddit market sentiment snapshot
stats()	Dataset statistics
health()	Public service health

client.news.*

Method	Description
trending(days, limit, offset, type, source)	Trending stocks from news
trending_sectors(days, limit, offset, source)	Trending sectors from news
trending_countries(days, limit, offset, source)	Trending countries from news
stock(ticker, days)	Detailed news sentiment for a ticker
explain(ticker)	AI-generated explanation from news context
search(query, days, limit)	Search stocks in the news dataset with a summary block
compare(tickers, days)	Compare up to 10 stocks in news
market_sentiment(days)	Service-level News market sentiment snapshot
stats()	News dataset statistics
health()	Public news service health

client.x.*

Method	Description
trending(days, limit, offset, type)	Trending stocks on X/Twitter
trending_sectors(days, limit, offset)	Trending sectors
trending_countries(days, limit, offset)	Trending countries
stock(ticker, days)	Detailed X/Twitter sentiment
explain(ticker)	AI-generated explanation from X/Twitter context
search(query, days, limit)	Search stocks with a summary block
compare(tickers, days)	Compare stocks
market_sentiment(days)	Service-level X/Twitter market sentiment snapshot
stats()	Dataset statistics
health()	Public service health

client.polymarket.*

Method	Description
trending(days, limit, offset, type)	Trending stocks on Polymarket with activity-first buzz and windowed liquidity
trending_sectors(days, limit, offset)	Trending sectors
trending_countries(days, limit, offset)	Trending countries
stock(ticker, days)	Detailed Polymarket activity, sentiment, and relevance-sorted market questions
search(query, days, limit)	Search stocks with a summary block
compare(tickers, days)	Compare stocks with windowed Polymarket activity signals
market_sentiment(days)	Service-level Polymarket market sentiment snapshot
stats()	Dataset statistics
health()	Public service health

client.crypto.*

Method	Description
trending(days, limit, offset)	Trending Reddit crypto tokens
token(symbol, days)	Detailed token sentiment and buzz
search(query, days, limit)	Search tokens by symbol or name with a summary block
compare(symbols, days)	Compare multiple tokens
market_sentiment(days)	Service-level Reddit Crypto market sentiment snapshot
stats()	Dataset statistics
health()	Public service health

Async Usage

Every namespace method also has an _async variant.

import asyncio

from adanos import AdanosClient


async def main() -> None:
    async with AdanosClient(api_key="sk_live_...") as client:
        trending = await client.reddit.trending_async(days=7)
        tsla = await client.reddit.stock_async("TSLA")
        explanation = await client.news.explain_async("NVDA")
        print(trending[0].ticker)
        print(tsla.trend)
        print(explanation.explanation)


asyncio.run(main())

Authentication and Configuration

Get an API key at https://api.adanos.org/docs

from adanos import AdanosClient

client = AdanosClient(
    api_key="sk_live_...",
    base_url="https://api.adanos.org",
    timeout=60.0,
)

Notes:

• api_key is required for protected endpoints
• base_url lets you target another deployment or staging environment
• timeout is passed through to the underlying httpx client
• the SDK does not auto-load local CLI profiles or env-specific config files

Context management:

from adanos import AdanosClient

with AdanosClient(api_key="sk_live_...") as client:
    print(client.reddit.health())

Errors and Responses

• Most SDK methods return typed models from the generated OpenAPI client
• market_sentiment() methods return the live JSON payload directly so the new endpoint family is available before the next full generated refresh
• Documented API errors are returned as typed error models
• Undocumented statuses raise UnexpectedStatus
• For long-lived processes, use with, async with, close(), or aclose() to release HTTP resources

Rate Limits

Typical platform limits:

Tier	Monthly Requests	Burst Limit
Free	250	100/min
Paid	Unlimited	1000/min

See the live API docs for the current contract and plan details.

Migration from social-stock-sentiment

Version 1.0.0 starts the new adanos package line and renames both the PyPI package and the Python import path.

Old:

python3 -m pip install social-stock-sentiment

from stocksentiment import StockSentimentClient

New:

python3 -m pip install adanos

from adanos import AdanosClient

The client API and namespace layout stay the same. Most upgrades only need a dependency rename and an import rewrite.

AdanosClient is now the primary public client name. StockSentimentClient remains available as a compatibility alias.

If you adopted the pre-release adanos-python-sdk naming locally, switch that install/import pair too:

python3 -m pip uninstall adanos-python-sdk
python3 -m pip install adanos

from adanos import AdanosClient

Development

python3 -m pip install -e ".[dev]"
python3 -m pytest tests -q
python3 -m build

License

MIT