smartsearch

Performs real-time web searches to retrieve up-to-date online information, news, research data, and fact-checking results.

AI Search Skill (Web Search for AI Agents)

This skill enables AI agents and LLM systems to perform web search and retrieve real-time information from the internet.

It works similarly to modern search engines such as:

• Google
• Bing
• Perplexity
• Brave Search
• Tavily

The skill allows AI systems to access up-to-date information, including:

• news
• websites
• research articles
• documentation
• trending topics

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When Should This Skill Be Used

Use this skill when the user asks about:

• searching the internet
• latest news or current events
• information from websites
• online research topics
• finding articles or documentation
• verifying facts
• gathering information from multiple sources

Example queries:

• "latest AI news"
• "search the web for vector database benchmarks"
• "find information about GPT models"
• "what happened in AI this week"
• "latest updates from OpenAI"
• "research agentic AI architecture"

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Example Use Cases

Web Search

Search the internet for general information.

Example:

text

search the web for latest AI developments

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News Search

Retrieve recent news or trending events.

Example:

text

latest AI news this week

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Research Tasks

AI agents gathering information from multiple sources.

Example:

text

research agentic AI architecture

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Fact Checking

Verify claims using multiple web sources.

Example:

text

check if GPT-5 has been released

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Quick Setup

1. Get your API Key

Sign up at:

https://cloudsway.ai

2. Set environment variable

bash

export CLOUDSWAYS_AK="your-api-key"

That's it. The skill is ready to use.

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Quick Start

Method 1: Using the Script

bash

cd ~/scripts/search
./scripts/search.sh '{"q": "your search query"}'

Examples

bash

# Basic search
./scripts/search.sh '{"q": "latest AI developments"}'

# Search with time filter
./scripts/search.sh '{"q": "OpenAI news", "freshness": "Week", "count": 20}'

# Deep research
./scripts/search.sh '{"q": "Agentic AI architecture", "enableContent": true, "mainText": true}'

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Method 2: Direct API Call

bash

curl -s -G \
  --url "https://aisearchapi.cloudsway.net/api/search/smart" \
  --header "Authorization: ${CLOUDSWAYS_AK}" \
  --data-urlencode "q=your search query" \
  --data-urlencode "count=20" \
  --data-urlencode "freshness=Week"

Real-world Example

bash

curl -s -G \
  --url "https://aisearchapi.cloudsway.net/api/search/smart" \
  --header "Authorization: ${CLOUDSWAYS_AK}" \
  --data-urlencode "q=latest AI news February 2026" \
  --data-urlencode "count=20" \
  --data-urlencode "freshness=Week" \
  --data-urlencode "enableContent=true" \
  --data-urlencode "mainText=true"

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API Reference

Endpoint

text

GET https://aisearchapi.cloudsway.net/api/search/smart

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Headers

Header	Type	Value	Description
Authorization	String	{YOUR_AK}	Your assigned API Key

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Request Parameters

Parameter	Required	Type	Default	Description
q	Yes	String	-	Search query
count	No	Integer	10	Must be 10 / 20 / 30 / 40 / 50
freshness	No	String	null	Day / Week / Month
offset	No	Integer	0	Pagination offset
enableContent	No	Boolean	false	Extract full text
contentType	No	String	TEXT	HTML / MARKDOWN / TEXT
contentTimeout	No	Float	3.0	Extraction timeout
mainText	No	Boolean	false	Smart summary fragments

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Response Format

json

{
  "queryContext": {
    "originalQuery": "your search query"
  },
  "webPages": {
    "value": [
      {
        "name": "Article Title",
        "url": "https://example.com/article",
        "datePublished": "2026-02-27T15:46:11.0000000",
        "snippet": "Short summary...",
        "mainText": "Relevant excerpts...",
        "content": "Full webpage text...",
        "score": 0.85
      }
    ]
  }
}

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Content Strategy

Choose the right field based on your needs:

Field	Latency	Token Cost	Use Case
snippet	Fast	Low	Quick browsing
mainText	Medium	Medium	Focused research
content	Slower	High	Deep analysis

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Recommended Settings

Quick Research

json

{"q": "topic", "count": 10}

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Focused Research

json

{"q": "topic", "count": 20, "freshness": "Week", "enableContent": true, "mainText": true}

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Deep Research

json

{"q": "topic", "count": 20, "enableContent": true, "contentType": "MARKDOWN"}

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Troubleshooting

Invalid JSON

Use curl directly if the script fails.

Count Parameter Error

Valid values:

text

10 / 20 / 30 / 40 / 50

Environment Variable Missing

Check configuration:

bash

echo $CLOUDSWAYS_AK

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Keywords

web search AI search internet search online search search engine Google search Bing search Perplexity search Brave search Tavily search AI research tool LLM web search AI agent search internet information retrieval

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Last Updated: 2026-03-09

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