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Interact with JetNet API for aviation industry data
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Overview

The "Get Model Intelligence" operation of the Market resource in this node allows users to retrieve detailed intelligence data about aircraft models. This includes specifications and market metrics relevant to various aircraft models. It is useful for aviation industry professionals, analysts, brokers, or companies who want to gain insights into specific aircraft models for valuation, comparison, or market research purposes.

Typical use cases include:

  • Fetching comprehensive model specs and performance data.
  • Analyzing market trends and metrics for selected aircraft models.
  • Filtering intelligence data by aircraft characteristics such as airframe type, make, model, and manufacturing year.

For example, a user might request intelligence on business jets manufactured between 2015 and 2020 to understand their market value and performance metrics.

Properties

Name Meaning
Additional Fields A collection of optional filters and parameters to refine the intelligence data request. These include:
- Airframe Type: Type of airframe to filter by. Options: None, Fixed Wing, Rotary.
- Make Type: Type of aircraft make to filter by. Options: None, Business Jet, Turboprop, Piston, Jet Airliner, Turbo Helicopter, Piston Helicopter.
- Make: List of aircraft makes to filter (e.g., GULFSTREAM, BOEING). Multiple values allowed.
- Model: List of aircraft models to filter (e.g., G550, BBJ3). Multiple values allowed.
- Model ID: Specific numeric model ID to filter by.
- Year Manufactured: Year or range of years when the aircraft was manufactured. Format examples: "2020" or "2015:2020".
- Year Delivered: Year or range of years when the aircraft was delivered. Format examples: "2020" or "2015:2020".
- Category Size: List of category sizes to filter by (e.g., MJ, ABJ, LGULR). Multiple values allowed.

Output

The output JSON contains the model intelligence data returned from the API. This typically includes detailed specifications and market metrics for the requested aircraft models based on the applied filters.

  • If multiple results are returned, each item will be an individual JSON object in the output array.
  • The structure of each JSON object corresponds to the model intelligence data fields provided by the external API.
  • No binary data output is indicated for this operation.

Dependencies

  • Requires an active connection to the JetNet API service.
  • Requires an API authentication token credential configured in n8n to authorize requests.
  • The base URL for API requests is https://customer.jetnetconnect.com.
  • The node uses HTTP POST method with JSON body containing the additional fields as filters.

Troubleshooting

  • Common issues:

    • Missing or invalid API authentication token will cause authorization errors.
    • Incorrectly formatted filter values (e.g., invalid date ranges) may result in API errors or empty responses.
    • Network connectivity issues can prevent successful API calls.

  • Error messages:

    • Authorization errors typically indicate problems with the API key or credentials setup.
    • Validation errors from the API may specify which input parameter is invalid.
    • Timeout or network errors suggest connectivity problems.

  • Resolutions:

    • Verify that the API key credential is correctly configured and has necessary permissions.
    • Double-check filter formats, especially date strings and enumerated options.
    • Ensure stable internet connection and that the JetNet API endpoint is reachable.

Links and References

  • JetNet API Documentation (requires login)
  • Aviation industry resources for aircraft model specifications and market data
  • n8n documentation on setting up API credentials and HTTP request nodes

Discussion