openclaw-aisa-financial-stock-crypto-market-price-dataQuery real-time and historical financial data across equities and crypto—prices, market moves, metrics, and trends for analysis, alerts, and reporting.
Install via ClawdBot CLI:
clawdbot install 0xjordansg-yolo/openclaw-aisa-financial-stock-crypto-market-price-dataGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.aisa.one/apis/v1/financial/search/stockCalls external URL not in known-safe list
https://openclaw.aiAI Analysis
The skill's external API calls (api.aisa.one) are directly documented and consistent with its stated purpose of providing financial data. While the signals indicate an undocumented external call to the homepage (openclaw.ai), this is likely benign branding. No evidence of credential harvesting, hidden instructions, or obfuscation was found in the provided definition.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
A financial advisor builds a dashboard for clients to monitor mixed-asset portfolios including stocks like AAPL and cryptocurrencies like BTC. The tool uses real-time price snapshots and historical data to track performance, generate alerts for price movements, and provide weekly reports. This enables proactive investment decisions and personalized client updates.
A fintech startup develops an automated trading bot that leverages real-time crypto price data for BTC, ETH, and SOL to execute trades based on market trends. The bot integrates historical price analysis to backtest strategies and uses minute-level intervals for precise intraday trading, aiming to maximize returns in volatile markets.
A research firm creates a platform for deep-dive analysis of companies like NVDA, combining stock prices, financial statements, analyst estimates, and SEC filings. Users can screen for stocks with specific metrics like P/E ratios and revenue growth, facilitating data-driven investment recommendations and trend reports for institutional clients.
A media company implements a system to track earnings reports for companies such as Tesla, using real-time data to monitor price reactions and analyst estimates. It sends alerts to subscribers about earnings releases, insider trades, and market moves, helping investors stay informed and react quickly to financial news.
A compliance firm uses the skill to monitor insider trades and institutional ownership for stocks like Apple, correlating data with SEC filings to ensure regulatory adherence. This helps detect anomalies, generate compliance reports, and provide audit trails for financial institutions to meet legal requirements.
Offer tiered subscription plans for developers and businesses to access the API, with limits on request volume and data types. Revenue comes from monthly or annual fees, with premium tiers providing higher rate limits, advanced features like stock screening, and priority support.
License the market data infrastructure to other companies, such as fintech apps or financial platforms, allowing them to rebrand and integrate the data into their own products. Revenue is generated through upfront licensing fees and ongoing royalties based on usage or user count.
Provide free access to basic real-time prices and historical data for individual users, while charging for advanced features like detailed financial metrics, insider trading insights, and custom alerts. Revenue streams include one-time purchases for reports and upsells to enterprise analytics packages.
💬 Integration Tip
Start by setting the AISA_API_KEY environment variable and test with simple curl commands for stock or crypto prices to verify connectivity before scaling to complex queries like financial statements or screening.
Scored Apr 22, 2026
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