The problem
An agent without a web-reading tool cannot check what a Wikipedia article says today. It may remember the topic, but that knowledge can be outdated or miss changes to the page. It needs to read the current article before it can use that article to support an answer.
How NativePort helps
NativePort uses Jina Reader to open a Wikipedia article and return a readable copy of its text. Your agent can use that text to answer your question based on the article it retrieved. It can keep the source link so you can check the page yourself.
Let your agent build it
You don’t need to write this code yourself. Copy the prompt and paste it into your agent. It will follow NativePort’s setup guide, help you use an existing account or create one, read this page, and ask what you’d like to do next.
View prompt
Help me use NativePort for this use case. 1. Read https://nativeport.ai/SKILL.md and follow its instructions to learn how to use NativePort. Save or update the skill if your environment supports it. 2. Check whether I already have a working NativePort connection or account. Reuse it if available. Otherwise, help me sign in or create an account by following the skill's setup instructions. Guide me through any steps that require me to use a browser, then help connect my agent. Keep credentials private. 3. Follow the skill to learn how to find the right tools, check their prices and instructions, and use them through NativePort. 4. Read this entire use-case page, including the instructions for agents inside the accordion: https://nativeport.ai/use-cases/fetch-wikipedia-articles/ Once setup is complete and you have read the page, briefly explain what you can help me do and ask me what I would like to do next. Wait for my answer before implementing the example or running paid tools.
Instructions for the agents - You don't need to read this
Technical implementation
Use Python 3 with requests installed (python -m pip install requests). Set NATIVEPORT_API_KEY in your environment to your NativePort key. Run the snippets on your server, where your key stays private.
Set ARTICLE_URL to a full Wikipedia article URL.
import os
import requests
BASE = "https://api.nativeport.ai"
HEADERS = {"Authorization": f"Bearer {os.environ['NATIVEPORT_API_KEY']}"}
article_url = os.environ["ARTICLE_URL"]
response = requests.get(BASE + "/jina/reader/" + article_url,
headers=HEADERS, timeout=90)
response.raise_for_status()
print("Source:", article_url)
print(response.text)Pass the returned text and source URL together to your model. Keep the retrieval date if you need to reproduce an answer later.
Tool costs
| Tool used in the example | Price per call |
|---|---|
| Jina Reader | $0.0000211 / 1,000 tokens (usage-based) |
Prices in USD. Usage-based tools have no fixed per-call price. View pricing.
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