birdweather-pucAccess BirdWeather PUC station data — species detections, sensor readings (AQI, temperature, humidity, pressure, eCO₂, sound dB), and historical trends. Use...
Install via ClawdBot CLI:
clawdbot install pfrederiksen/birdweather-pucGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://app.birdweather.com/api/v1/stations/{token}`Audited Apr 16, 2026 · audit v1.0
Generated May 7, 2026
Hobbyists can set up a BirdWeather station to track bird species visiting their yard. The tool provides daily summaries, new species alerts, and sensor readings, enhancing their birdwatching experience.
Teachers can use BirdWeather data to create interactive lessons on local biodiversity and air quality. Students analyze detection trends and sensor logs, learning about ecology and data science.
Researchers aggregate data from multiple stations to study bird migration patterns and environmental health. The SQLite logs provide long-term trends for academic studies.
Homeowners can incorporate BirdWeather sensor readings (AQI, temperature, humidity) into their smart home dashboards. Alerts for new species or air quality changes can trigger automations.
Community journalists can pull daily summaries from public stations to report on local bird activity and air quality. This adds a unique environmental angle to neighborhood news.
Offer free access to basic detection data for hobbyists and premium API tiers with historical data, trend analysis, and multi-station aggregation for professionals.
License anonymized, aggregated datasets from the network of stations to universities, government agencies, and conservation nonprofits for ecological studies.
Partner with smart home platforms (e.g., Home Assistant, Alexa) to integrate sensor data. Revenue comes from referral fees or co-marketing deals as a sensor data provider.
💬 Integration Tip
Store the BirdWeather token as an environment variable for easy access. Use SQLite logging for historical analysis; combine with cron jobs to automate daily summaries and alerts.
Scored May 7, 2026
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