A powerful data intelligence skill that queries over 1 million public data series across 10 global sources using natural language.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install finddata
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install finddata 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 finddata?
The finddata skill is a sophisticated data retrieval and analysis engine designed for the Openclaw Skills ecosystem. It bridges the gap between complex global databases and natural language, allowing users to query everything from real-time stock prices and SEC filings to macroeconomic indicators from the World Bank and FRED. By leveraging Voyage AI for tool selection and LLM planning for complex calculations, finddata provides a seamless interface for technical and financial research.
Whether you are looking for simple market quotes or derived financial metrics like profit margins, this Openclaw Skills integration handles the heavy lifting of data sourcing, normalization, and calculation. It supports bilingual queries in English and Chinese, making it a versatile tool for international market analysis and global economic research.
finddata Use Cases
- Tracking real-time US and Chinese stock market performance and cryptocurrency prices.
- Conducting macroeconomic research using FRED, Eurostat, and World Bank datasets.
- Automating the retrieval of SEC EDGAR filings and company financial statements.
- Analyzing international trade flows and commodity movements via UN Comtrade.
- Calculating derived financial metrics such as growth rates and profit margins automatically.
How finddata Works
- The user submits a natural language query in English or Chinese to the Openclaw Skills interface.
- For simple requests like stock prices, the system uses a fast path via Voyage AI to instantly extract parameters and fetch data (~1s).
- For complex queries requiring multi-step logic or math, the skill uses LLM planning to generate an execution plan (~3-5s).
- Data is aggregated from one of 10 supported global sources, including Yahoo Finance, SEC, and BIS.
- The skill returns a structured JSON response containing the raw records, source metadata, and any derived calculations.
finddata Setup
To get started with finddata for Openclaw Skills, you must obtain an API key from finddata.ai. Once you have your key, configure your environment:
# Set your environment variable
export FINDDATA_API_KEY="odh_your_key_here"
# Test the connection via curl
curl -s -X POST https://finddata.ai/api/query \
-H "X-API-Key: $FINDDATA_API_KEY" \
-H "Content-Type: application/json" \
-d '{"query": "Apple stock price"}'
Note: If using this within an AI agent, you can provide the key starting with odh_ directly in the chat to be extracted automatically.
finddata Data Schema & Taxonomy
The skill returns a comprehensive JSON object optimized for Openclaw Skills automation. Key components include:
| Field | Type | Description |
|---|---|---|
success |
Boolean | Primary indicator of data retrieval status. |
data.records |
Object | The core dataset (structure varies by source). |
derived_metrics |
Object | Calculation results like profit margins or YoY growth. |
execution |
Object | Details on whether fast_path or llm planning was used. |
issues |
Array | Quality alerts such as stale, partial, or missing data. |
finddata Advanced Features
- Hybrid Execution: Automatically toggles between high-speed tool matching and deep LLM reasoning based on query complexity.
- Derived Metrics Engine: Automatically calculates financial ratios and growth trends when they aren't available as raw data.
- Multi-Source Aggregation: Intelligently routes queries to the best provider, from Sina for A-shares to Eurostat for EU metrics.
- Data Quality Guardrails: Includes an issues array to alert users of stale market data or partial results during high-volatility periods.
SKILL.md
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