---name: qverisdescription: Detect stock indicator queriestriggers: - pattern: 市值|涨跌|收盘|开盘|市盈率|pe|pbauto_invoke: trueexamples: ---

QVeris Tool Search & Execution

QVeris provides dynamic tool discovery and execution - search for tools by capability, then execute them with parameters.

Setup

Requires environment variable:

• QVERIS_API_KEY - Get from https://qveris.ai

Quick Start

Search for tools

uv run scripts/qveris_tool.py search "weather forecast API"

Execute a tool

uv run scripts/qveris_tool.py execute openweathermap_current_weather --search-id <id> --params '{"city": "London", "units": "metric"}'

Script Usage

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

Workflow

1. Search: Describe the capability needed (not specific parameters)

   • Good: "weather forecast API"
   • Bad: "get weather for London"

2. Select: Review tools by success_rate and avg_execution_time

3. Execute: Call tool with tool_id, search_id, and parameters

Example Session

# 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"}'

Use Cases

• Weather Data: Get current weather, forecasts for any location
• Stock Market: Query stock prices, historical data, earnings calendars
• Search: Web search, news retrieval
• Data APIs: Currency exchange, geolocation, translations
• And more: QVeris aggregates thousands of API tools