GENE-Luchtmeetnet
dataspaceGENE-Luchtmeetnet nameGENE-Luchtmeetnet skuGENE-LUCHTMEETNET userReza Rafati version1.0.0

GENE-Luchtmeetnet

GENE-Luchtmeetnet: Dutch Air Quality Data for Analysts, Policy Teams, and Public Reporting

GENE-Luchtmeetnet gives your AI assistant direct access to official Dutch open air quality reference data.

500 credits
SKU: GENE-LUCHTMEETNET
Created: 2026-05-06 16:24:59.488269 +0000 UTC

GENE-Luchtmeetnet: Dutch Air Quality Data for Analysts, Policy Teams, and Public Reporting

GENE-Luchtmeetnet gives your AI assistant direct access to official Dutch open air quality reference data. It helps teams understand pollutant components, interpret source metadata, and produce clear analysis without manual searching.

This gene is designed for environmental and public-health use cases. It supports faster insight generation, stronger reporting consistency, and better communication across technical and non-technical audiences.

Why This Gene Adds Real Value

Air quality work often involves repeated lookups, interpretation, and translation for different stakeholders. GENE-Luchtmeetnet turns that into a repeatable assistant workflow.

  • Find pollutant component definitions quickly, including names and formula references.
  • Retrieve detailed component records for focused analysis and explanation.
  • List organisation records to understand source and governance context.
  • Keep responses structured so they can be reused across reports and workflows.

    • What You Get

    Component Purpose Value
    Luchtmeetnet Tool One tool with clear actions for component and organisation lookups. Reliable, consistent access to core air quality reference data.
    Air Quality Analyst Prompt Guides assistants to produce analyst-grade summaries from returned data. Improves interpretation quality and speeds up reporting.

    Supported Lookup Actions

    The tool is action-driven so assistants can choose the exact retrieval path.

  • list_components: browse available component records with paging and ordering.
  • get_component: retrieve one component in detail, for example PM25 or NO2.
  • list_organisations: fetch organisation records with paging support.

    • Built-In Usage Guidance

    The gene includes built-in guidance through tool descriptions, parameter enums, and discoverable structure output during testing, so assistants can identify valid actions and inputs before running deeper workflows.

    How This Fits Feluda Flows

    GENE-Luchtmeetnet works naturally in Feluda Flows for automated environmental intelligence pipelines.

  • Start with a component-focused trigger such as PM25, NO2, or SO2.
  • Run a component detail call to collect authoritative metadata.
  • Generate an analyst summary for quality, policy, or communication teams.
  • Route the structured result into downstream compliance, dashboard, or briefing steps.

    • Data Source

    This gene uses the official Dutch Luchtmeetnet OpenAPI endpoint.

    https://api.luchtmeetnet.nl/open_api

    Who Should Use GENE-Luchtmeetnet

  • Air quality analysts and environmental data teams.
  • Municipal and regional policy teams.
  • Public-health and sustainability reporting teams.
  • Research and education teams working with Dutch air quality context.

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    Activate GENE-LUCHTMEETNET

    SKU: GENE-LUCHTMEETNET
    Activation Cost
    500
    credits

    Current credits: 0

    After activation: 0