> For the complete documentation index, see [llms.txt](https://docs.geopard.tech/geopard-tutorials/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.geopard.tech/geopard-tutorials/api-docs/geopard-api-overview.md).

# GeoPard API Overview

Latest update: 10 July 2023

<figure><img src="https://3272281156-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FYICBELdyAXXebKAzfLOR%2Fuploads%2F5gmoay5UQ9gl7XCBrSyM%2Fimage.png?alt=media&amp;token=b163c2e6-af0d-49e3-a491-a1c533d3cdcc" alt="GeoPard - Precision Agriculture API"><figcaption><p>GeoPard is a precisionAg platform with all the functions available via API</p></figcaption></figure>

The GeoPard API offers both GraphQL and REST endpoints for seamless interaction. Acting as both a passive and active interface, it allows other applications to programmatically request the creation of analytical derivatives and receive updates associated with complex data processing.

Through the GeoPard API, any raw datasets - including harvesting, machinery, soil sampling and scanners, satellite imagery, and topography - as well as analytical derivatives like management zones, equation maps, recommendations, and raster surfaces, are readily accessible out-of-the-box.

The GeoPard API supports diverse rendering options for geospatial data, accommodating both Raster (`jpg`, `png`, `geotiff`) and Vector (`shp`, `geojson`, `isoxml`) formats. For a comprehensive overview of the API, refer to our [blog post](https://geopard.tech/blog/upkdhsnyk1-precision-agriculture-api/).


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