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Use Cases

What Will You Build?

From trading bots to AI agents, see how developers use PRISM to build the next generation of financial applications.

Real Applications

Powering the Next Generation of Financial Apps

From solo developers to hedge funds, PRISM adapts to your use case.

Trading Bots

Automated strategies across every exchange

Build trading bots that work on any exchange without rewriting your data layer. PRISM handles the venue-specific quirks so your strategy code stays clean.

  • Multi-exchange execution
  • Consistent order book data
  • Real-time price feeds
  • Historical backtesting data

Portfolio Trackers

Unified view across all holdings

Track positions across exchanges, wallets, and asset types. PRISM's canonical ID system ensures accurate P&L even when exchanges rename tickers.

  • Cross-exchange aggregation
  • Historical cost basis
  • Multi-currency support
  • Real-time valuations

AI Trading Agents

The market data layer for autonomous agents

Give your AI agent access to real-time market data through function calling. PRISM returns structured JSON that LLMs can parse and act on instantly.

  • OpenAI function calling
  • Natural language queries
  • Structured responses
  • Context-aware resolution

Market Research Tools

Data for analysts and researchers

Build dashboards, screeners, and research tools. Access years of historical data with consistent formatting across all asset types.

  • Historical OHLCV data
  • Cross-asset correlations
  • Volume analytics
  • Market breadth metrics

Arbitrage Detection

Spot price differences across venues

Monitor prices across 50+ exchanges in real-time. PRISM's unified schema makes cross-exchange comparisons trivial.

  • Real-time multi-venue prices
  • Spread calculations
  • Latency-optimized feeds
  • Alert webhooks

DeFi Analytics

On-chain and CEX data unified

Combine CEX prices with DeFi data. Track the same asset across Uniswap, Binance, and everywhere in between.

  • DEX + CEX coverage
  • TVL tracking
  • Liquidity metrics
  • Cross-chain support

Most Popular Use Case

Build Trading Bots That Work Everywhere

Write your strategy once, deploy it anywhere. PRISM abstracts away exchange-specific APIs so your bot code stays clean and portable.

Multi-Exchange Execution

Same code works on Binance, Coinbase, Kraken, and 50+ more exchanges.

Consistent Data Format

No more parsing different JSON structures for each exchange.

Historical Backtesting

Years of OHLCV data for strategy validation before going live.

Start Building Your Bot
trading_bot.py
# Grid trading bot - works on any exchange
from prism import Client

prism = Client(api_key="your_key")

# Get price from any exchange, same code
price = prism.price("BTC", venue="binance")
spread = prism.spread("BTC", venues=["binance", "coinbase"])

# Place orders based on grid levels
for level in grid_levels:
if price.bid < level:
execute_buy(level, amount)
agent_tools.json
{
"name": "prism_market_data",
"description": "Get real-time market data",
"parameters": {
"asset": {"type": "string"},
"venue": {"type": "string", "optional": true}
}
}

# Agent: "What's BTC at on Coinbase?"
# → prism.price("BTC", venue="coinbase")
# → {price: 67842.50, change_24h: "+2.4%"}

AI-Native Design

Built for AI Agents

PRISM is the market data layer that AI agents need. Natural language queries, structured JSON responses, and OpenAI function calling compatibility out of the box.

Function Calling Ready

Drop-in schemas for GPT-4, Claude, and other LLMs.

Natural Language Queries

"What's ethereum trading at?" works just as well as "ETH".

Structured Responses

Predictable JSON that agents can parse without hallucination.

View Agent Integration Guide

Institutional Grade

Data Clean Enough for Quant Research

No more data cleaning nightmares. PRISM delivers normalized, survivorship-bias-free data that's ready for factor research and backtesting.

5Y+
Historical data
1min
OHLCV granularity
5K+
Assets covered
99.9%
Data completeness

Start Building Today

1,000 free API calls per day. No credit card required.