Production Ready
SDKs
Capabilities
Libraries that fit your needs
High Performance
Optimized clients with efficient serialization, connection reuse, and minimal overhead for latency-sensitive applications.
Authentication & Security
Built-in API key management, secure request handling, and enterprise-ready authentication workflows.
Type Safety
Strongly typed SDKs with autocomplete, request validation, and generated models for a safer development experience.
Quick Integration
Install, authenticate, and make your first request in minutes with concise APIs and practical examples.
Developer Experience
Clear documentation, comprehensive examples, and predictable interfaces designed for productivity.
Consistent APIs
Unified request patterns and data structures across endpoints, datasets, and supported languages.
An All-in-one Platform For Building Alpha
Native libraries for Python, JavaScript, C, and AI agents plus a REST API for everything else.
Fetch, Frame,
Graph
Pull historical market data, transform it into a dataframe, and generate visualizations with a few lines of code. Spend less time wiring tools together and more time analyzing markets.
from axion import Axion, utils, visualize
client = Axion(api_key="your_api_key")
df = utils.df(
client.stocks.prices(
"NVDA",
from_date=utils.d(utils.yearago),
frame="daily",
)
)
visualize.candles(df)
from axion import Axion, utils, visualize, ta
client = Axion(api_key="your_api_key")
df = utils.df(
client.forex.prices(
"EURUSD",
from_date=utils.d(utils.yearago),
frame="daily",
)
)
df["ema_21"] = ta.ema(df, period=21)
df["ema_50"] = ta.ema(df, period=50)
df["rsi"] = ta.rsi(df, period=14)
visualize.graph(
df,
x="date",
lines=["close", "ema_21", "ema_50"],
title="EUR/USD - Spot Direction",
)
from axion import Axion
client = Axion(api_key="your_api_key")
ticker = "NVDA"
profile = client.profiles.profile(ticker)
info = client.profiles.info(ticker)
summary = client.profiles.summary(ticker)
calendar = client.profiles.calendar(ticker)
sector = profile["sector"]
industry = profile["industry"]
price = summary["regularMarketPrice"]
high_52w = summary["fiftyTwoWeekHigh"]
earnings = calendar["earnings"]["earningsDate"]
from axion import Axion, utils, models, visualize
client = Axion(api_key="your_api_key")
cpi_id = client.econ.search("CPI all items")[0]["id"]
cpi = utils.df(client.econ.dataset(cpi_id))
# Convert price levels to a monthly inflation rate
cpi = utils.relativity(cpi, cols=["value"])
# Project inflation six months forward
forecast = models.linearRegression(
cpi,
x="date",
target="relative_value",
n_preds=6,
scale="M"
)
visualize.line(cpi, x="date", y="relative_value")from axion import Axion, utils
client = Axion(api_key="your_api_key")
watchlist = ["AAPL", "MSFT", "GOOGL", "TSLA", "META"]
def fetch_filings(row):
t = row["ticker"]
return (t, {
"ticker": t,
"last_10k": client.filings.recent(t, form="10-K", limit=1)[0]["date"],
"last_10q": client.filings.recent(t, form="10-Q", limit=1)[0]["date"],
"recent_8k": client.filings.recent(t, form="8-K", limit=1)[0]["title"],
})
filings_map = {}
utils.work(utils.df([{"ticker": t} for t in watchlist]), fetch_filings, filings_map)
df_filings = utils.df(list(filings_map.values()))
Enterprise-grade clients, ready to deploy
Secure, Enterprise Vault
Connect using scoped API keys with that are safe for both client and server contexts.
Real-time search and knowledge
Connect your external applications and integration financial intelligence across your entire stack.
Slides, spreadsheets, and documents
Produce polished outputs for every modality.
| A | B | C | |
|---|---|---|---|
| Revenue | $1.2M | $1.5M | $1.8M |
| COGS | $520K | $610K | $720K |
| OpEx | $180K | $210K | $240K |
| Gross Profit | $680K | $890K | $1.08M |
| Marketing | $90K | $110K | $135K |
| R&D | $120K | $145K | $170K |
| Headcount | 42 | 48 | 56 |
| EBITDA | $470K | $635K | $775K |
| Margin | 39.2% | 42.3% | 43.1% |
And much more
Everything you need in one package - from research to consumer facing apps.
Real-time market data
Query live equities, crypto, forex, and alternative data with low-latency responses
Streaming data feeds
Subscribe to real-time price updates and tick-level market movements
Data-driven analytics
Build strategies and models using structured financial and historical datasets
Multi-source aggregation
Combine multiple data providers into a single unified API interface
Developer-first SDKs
Clean, typed SDKs for Python, TypeScript, and more with consistent APIs
Data visualization support
Power dashboards and charts using structured market and alternative datasets
Market replay tools
Reconstruct historical market movements for simulation and backtesting
Alerting & notifications
Trigger real-time alerts for price movements, thresholds, and events
Structured data access
Retrieve normalized financial data across all supported asset classes
Alternative data insights
Analyze non-traditional datasets to uncover market signals and trends
Global market coverage
Access international exchanges and multi-region financial data seamlessly
Historical data access
Query deep historical datasets for research, modeling, and backtesting
Strategy development workflow
Build, test, and iterate on trading strategies using clean API primitives
Flexible API configuration
Customize endpoints, filters, and data granularity per use case
Export & integration ready
Easily pipe data into your existing trading systems and analytics tools
Cloud-native infrastructure
Reliable, scalable APIs designed for production financial systems
Consistent developer experience
Unified behavior across SDKs, REST, and streaming interfaces
Pricing That Scales With You
Flexible plans for developers, startups, and enterprises. Access comprehensive financial data through a single, reliable API.
Billed annually
Billed annually
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