prism-finance-os_skill

Overview

This skill is a read-only financial data SDK designed for AI agents to fetch market data, prices, fundamentals, and analytics. It exposes 218+ endpoints covering crypto, stocks, DeFi, macro, technical indicators, and news sentiment. The SDK returns JSON data for integration into analysis, modeling, or agent workflows. An API key is required and the package is built for embedment in agent runtimes like Cursor, Claude, and OpenClaw.

How this skill works

The SDK makes authenticated HTTP requests to Prism's public API endpoints and returns structured JSON responses for each data category. It does not access wallets or execute trades; execution modules simulate quotes only. Use environment variable PRISM_API_KEY to authenticate, then call endpoints for crypto prices, stock fundamentals, DeFi TVL, macro series, technical indicators, or news sentiment. Responses are read-only and intended for downstream analysis, not order execution.

When to use it

• Integrating market data into an AI agent pipeline for research or signals generation
• Fetching historical prices and technical indicators for backtesting models
• Retrieving fundamentals and financial statements for stock screening
• Obtaining DeFi analytics like protocol TVL and on-chain metrics for analytics
• Adding timely market news and sentiment signals to trading or advisory agents

Best practices

• Store the PRISM_API_KEY securely as an environment variable and rotate keys when required
• Cache frequent queries and rate-limit calls to avoid unnecessary API usage and latency
• Validate and normalize JSON responses before feeding into models or downstream systems
• Combine endpoints (prices + fundamentals + sentiment) to build more robust features
• Use read-only data for analysis and simulation; do not attempt to execute live trades with this SDK

Example use cases

• Generate feature sets for a machine learning model: combine price history, RSI/MACD, and fundamentals
• Power an agent that answers investment research queries using fundamentals and news sentiment
• Run DeFi health checks by regularly polling protocol TVL and yield metrics
• Backtest a trading strategy using historical price endpoints and technical indicators
• Create dashboards that display live consensus prices across exchanges and macro indicators