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The Stall — Content Analyze
x402
The Stall — Content Analyze is a paid API for AI agents from the-stall.intuitek.ai, paid per call via x402, $0.008/call, status unknown (last checked 2026-09-14).
Fetches and analyzes the content of a public URL, returning structured intelligence about the page with optional focus narrowing
Price / call$0.008
Success—
StatusUnknown
How this service works
AI-powered URL content analysis. Fetches a URL, extracts the readable article text, and returns structured intelligence: 2–3 sentence summary, key points, named entities with types, sentiment score, topic tags, content type classification, and credibility signals (has author/date/sources). Use for content intelligence pipelines, research synthesis, or automated brief generation. $0.012/call.
Output
A structured analysis of the fetched web page content, including key points, claims, and optionally narrowed insights based on the provided focus instruction
Example use cases
Example prompt
“Can you analyze the content at https://techcrunch.com/2024/05/01/ai-funding-trends/ and focus on financial claims and investment figures mentioned in the article?”
Technical details
Endpoint
GEThttps://the-stall.intuitek.ai/cap/content-analyzeWhen to prefer
Use this endpoint when an agent needs to fetch and semantically analyze the content of a specific public URL — such as an article, blog post, news page, documentation, or product page — especially when a focused extraction (e.g. 'financial claims', 'risk factors') is needed. Prefer over general web scrapers when structured AI-driven interpretation of content is the goal, not raw HTML extraction.
Side effects
- URL is not publicly accessible or returns 4xx/5xx — analysis fails
- URL points to paywalled or JS-rendered content that cannot be fetched — partial or empty result
- Invalid or malformed URL provided — request rejected
- Focus instruction too vague or contradictory — broad analysis returned instead
- Payment of 0.008 USDC on Base mainnet fails — request blocked
Input
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"url": "https://en.wikipedia.org/wiki/Artificial_intelligence",
"focus": "extract key definitions and historical milestones"
}
}
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| required | string | |
| properties | string |
Output
{
"url": "https://en.wikipedia.org/wiki/Artificial_intelligence",
"topics": [
"artificial-intelligence",
"machine-learning",
"deep-learning",
"generative-ai"
],
"summary": "Artificial intelligence (AI) is the capability of computational systems to perform tasks associated with human intelligence, such as learning and decision-making. The field has evolved since its inception in 1956, experiencing cycles of optimism and disappointment, with significant advancements in recent years due to deep learning and generative AI.",
"entities": [
{
"name": "Artificial Intelligence",
"type": "concept"
},
{
"name": "OpenAI",
"type": "org"
},
{
"name": "Google DeepMind",
"type": "org"
},
{
"name": "Meta",
"type": "org"
},
{
"name": "1956",
"type": "date"
}
],
"sentiment": {
"label": "positive",
"score": 0.7
},
"key_points": [
"AI is defined as the capability of machines to perform tasks typically associated with human intelligence.",
"The field of AI was founded in 1956 and has experienced multiple cycles of optimism and disappointment.",
"Recent advancements in AI have been driven by deep learning and the use of graphics processing units."
],
"content_type": "research",
"credibility_signals": {
"has_date": true,
"has_author": false,
"has_sources": true,
"word_count_adequate": true
}
}Tags
x402
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