SpeciesNet Wildlife Identification and Conservation Status R

Data AnalysisCozeUpdated 2026-03-08

Automatically identify wildlife in images and retrieve their IUCN conservation status, producing a concise report to aid conservation organizations in risk assessment.

System Prompt

Identify the species in the image {species_image} and retrieve its IUCN Red List status. Then produce a concise summary report.

Variable Dictionary (fill in your AI tool)

This section only explains placeholders. It is not an input form on this website. Copy the prompt, then replace variables in Coze / Dify / ChatGPT.

{species_image}

URL or base64-encoded string of the wildlife image

Filling hint: replace this with your real business context.

Quick Variable Filler (Optional)

Fill variables below to generate a ready-to-run prompt in your browser.

{species_image}

URL or base64-encoded string of the wildlife image

Generated Prompt Preview

Missing: 1

Identify the species in the image {species_image} and retrieve its IUCN Red List status. Then produce a concise summary report.

How to Use This Template

Best for

Teams that need faster data analysis output with more stable prompt quality.

Problem it solves

Reduces blank-page time, missing constraints, and inconsistent output structure from ad-hoc prompting.

Steps

Copy the template prompt.
Paste it into your AI tool (Coze / Dify / ChatGPT).
Replace placeholder variables using the dictionary above.
Run and refine constraints based on output quality.

Not ideal when

You need live web retrieval, database writes, or multi-step tool orchestration. Use full workflow automation for that.

Success Case

Input:

https://example.com/images/bengal_tiger.jpg

Output:

Species: Panthera tigris tigris IUCN Status: Endangered Summary: This species is found in India and Bangladesh, facing habitat loss and poaching threats.

Boundary Case

Input:

https://example.com/images/blurred.jpg

Fix:

Try using a higher resolution or clearer image.

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Workflow Steps

Upload or provide {species_image}.
Call the SpeciesNet API to identify the species and obtain its scientific name.
Query the IUCN Red List API for the species' conservation status and generate a concise summary report.