AIsaFinancialData for Openclaw

A comprehensive financial intelligence tool for querying real-time and historical market data across equities and cryptocurrency.

aisapay
v1.0.0
Feb 5, 2026
0
2.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install aisa-financial-data

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install aisa-financial-data using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is AIsaFinancialData?

AIsaFinancialData is a robust addition to the Openclaw Skills ecosystem, providing autonomous agents with a unified gateway to global financial markets. It enables developers to integrate real-time price tracking, historical OHLCV data, and deep fundamental analysis into their agentic workflows. By leveraging a single API key, this skill bridges the gap between complex financial databases and AI agents, allowing for sophisticated data retrieval from both traditional stock exchanges and volatile crypto markets.

This skill is specifically designed to handle the nuances of financial data, from minute-level intraday bars to comprehensive SEC filings and insider trading reports. Whether you are building an automated portfolio manager or a research-heavy investment bot, using Openclaw Skills like this one ensures your agent has the high-fidelity data required for accurate financial decision-making and reporting.

AIsaFinancialData Use Cases

  • Building cross-asset portfolios that monitor both Bitcoin and blue-chip stocks like Apple or Nvidia.
  • Performing deep-dive investment research by analyzing price trends alongside analyst estimates and SEC filings.
  • Automating crypto tracking for real-time price alerts on BTC, ETH, and emerging tokens.
  • Conducting earnings analysis by retrieving quarterly reports and correlating them with price reactions.
  • Screening the market for stocks that meet specific fundamental criteria like P/E ratios and revenue growth.
  • Tracking whale movements and insider trades to identify market sentiment shifts.

How AIsaFinancialData Works

  1. The AI agent receives a financial query and identifies the appropriate AIsa endpoint within the Openclaw Skills framework.
  2. The skill validates the presence of the AISA_API_KEY environment variable for authentication.
  3. A structured request is sent to the AIsa API to fetch either real-time snapshots or historical time-series data.
  4. For historical queries, the skill processes parameters such as ticker, interval, and date ranges to ensure precise data retrieval.
  5. The API returns the requested financial data along with usage costs and remaining credit metadata.
  6. The agent parses the returned JSON to provide actionable insights, charts, or reports back to the user.

AIsaFinancialData Setup

To utilize this skill, you must first obtain an API key from the AIsa platform. Once you have your key, configure your environment as follows:

export AISA_API_KEY="your_api_key_here"
# Ensure your environment has curl and python3 available

You can then test the connection using the provided Python market client or simple curl commands to verify access to market endpoints.

AIsaFinancialData Data Schema & Taxonomy

The skill returns structured data categorized by asset class and financial metric. The schema is optimized for Openclaw Skills to ensure easy parsing by LLMs:

Data Type Key Fields Description
Price Data ticker, interval, open, high, low, close, volume Historical or real-time OHLCV data.
Financials ticker, report_type, filing_date, metrics Balance sheets, income, and cash flow statements.
Crypto ticker (SYMBOL-USD), price, timestamp Real-time and historical cryptocurrency snapshots.
Analyst Data ticker, eps_estimate, period Analyst earnings per share projections.
Metadata usage.cost, usage.credits_remaining Information on the API credit consumption for each request.

AIsaFinancialData Advanced Features

  • Advanced Stock Screener using POST requests to filter thousands of equities based on custom financial ratios.
  • Intraday granularity allowing for 1-minute, 5-minute, or 60-minute interval data analysis.
  • Comprehensive SEC filing retrieval including specific filing items and historical company facts.
  • Real-time Interest Rate tracking for both current snapshots and historical central bank trends.
  • Multi-agent portfolio support through a specialized Python client designed for Openclaw Skills integration.

SKILL.md


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METADATA

Requires
Bins curlpython3
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