qverisSearch and execute dynamic tools via QVeris API. Use when needing to find and call external APIs/tools dynamically (weather, search, data retrieval, stock trading analysis, etc.). Requires QVERIS_API_KEY environment variable.
Install via ClawdBot CLI:
clawdbot install hqman/qverisQVeris provides dynamic tool discovery and execution - search for tools by capability, then execute them with parameters.
Requires environment variable:
QVERIS_API_KEY - Get from https://qveris.aiuv run scripts/qveris_tool.py search "weather forecast API"
uv run scripts/qveris_tool.py execute openweathermap_current_weather --search-id <id> --params '{"city": "London", "units": "metric"}'
scripts/qveris_tool.py <command> [options]
Commands:
search <query> Search for tools matching a capability description
execute <tool_id> Execute a specific tool with parameters
Options:
--limit N Max results for search (default: 5)
--search-id ID Search ID from previous search (required for execute)
--params JSON Tool parameters as JSON string
--max-size N Max response size in bytes (default: 20480)
--json Output raw JSON instead of formatted display
success_rate and avg_execution_timetool_id, search_id, and parameters# Find weather tools
uv run scripts/qveris_tool.py search "current weather data"
# Execute with returned tool_id and search_id
uv run scripts/qveris_tool.py execute openweathermap_current_weather \
--search-id abc123 \
--params '{"city": "Tokyo", "units": "metric"}'
Generated Mar 1, 2026
A robo-advisor service that uses Qveris to dynamically fetch real-time stock prices, technical indicators, and market analysis data. When users ask about specific stocks or trading strategies, the platform automatically searches for the most relevant financial APIs and executes queries to provide up-to-date investment insights.
An AI travel agent that leverages Qveris to find weather APIs, currency converters, and local attraction data on-demand. When travelers inquire about destinations, the system dynamically discovers and calls appropriate tools to provide weather forecasts, exchange rates, and activity recommendations without hardcoded API integrations.
A corporate analytics tool that uses Qveris to pull real-time market data, competitor analysis, and economic indicators. Business analysts can ask natural language questions about market trends, and the system automatically finds and executes the most relevant data APIs to populate dynamic reports and visualizations.
An online retail platform that employs Qveris to dynamically search for product price APIs, stock availability tools, and competitor pricing data. When customers or managers query product information, the system automatically discovers and executes appropriate tools to provide real-time pricing and inventory updates across multiple sources.
A content platform that uses Qveris to dynamically find and execute news search APIs, social media monitoring tools, and trend analysis services. Journalists and researchers can request information on specific topics, and the system automatically discovers and runs the most relevant tools to gather comprehensive, real-time information from multiple sources.
Charge businesses a monthly subscription fee for access to the dynamic API discovery and execution capabilities. Tiered pricing based on number of API calls, response sizes, and supported tool categories. Enterprise plans could include custom tool integration and priority support.
Implement a pay-per-use model where customers are charged for each successful tool execution through Qveris. Different pricing tiers for various tool categories (financial data, weather, search, etc.) with volume discounts for high-frequency users. This model works well for applications with variable usage patterns.
License the Qveris technology to other software companies who want to integrate dynamic API capabilities into their own products. Provide the core engine along with customization options, branding removal, and technical support. This creates a B2B revenue stream while expanding market reach through partners.
💬 Integration Tip
Start by implementing the stock-related triggers first since they're well-defined in the skill, then gradually expand to other domains like weather and search as you gain experience with the Qveris API workflow.
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