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AI Access Lab

Interactive demonstrations showing how the same content appears differently to humans vs. AI agents

Live Demo

Peek-Then-Pay — Try It Live

This is the real thing. Walk through the full Peek-Then-Pay protocol against the live FetchRight API using actual articles from this site. See how an AI agent discovers content for free, then acquires a license and fetches full content with different intents.

The demos below show content format differences — this demo shows the enforcement protocol in action.

Start the Live Demo

The Problem

HTML pages built for humans are not ideal interfaces for AI agents and crawlers. The "noise" (navigation, promotions, rails, related links, repeating UI, interaction scaffolding) is acceptable for humans but harmful for machine comprehension.

When AI systems scrape HTML, they consume and pay for processing massive amounts of irrelevant data, leading to:

  • Higher token costs (processing noise instead of signal)
  • Missed opportunities (agents can't discover structured capabilities)
  • Publisher frustration (degraded accuracy, content misrepresentation, no provenance)

The Solution: Use-Case-Specific Content Response

FetchRight provides two categories of intents: Per-Page intents that deliver the same URL in different formats optimized for different consumers, and Site-Wide intents that enable discovery and synthesis across your entire corpus.

Per-Page Intents

  • •
    Human — Normal HTML with full visual design
  • •
    Peek — Publisher-controlled preview, not crawler-interpreted
  • •
    Read — Structured content (licensed)
  • •
    Summary — AI summary (licensed)
  • •
    Embeddings — ALL chunks + vectors (licensed)
  • •
    Chunk — Relevant chunks + vectors (licensed)

Try These Demo Pages:

📄
Article
🍳
Recipe
🛒
Ecommerce
🏷️
Deals

Site-Wide Intents

Dedicated REST/MCP endpoints provide crawlers and agents with faster, more comprehensive discovery and synthesis capabilities across your entire content library.

  • •
    Search — Find relevant documents across full corpus with ranking
  • •
    Q&A — Synthesized answers with citations across full corpus

Try the Query Demo:

🔬
Query Demo
Search & Q&A

About These Demos

The format demos above show how FetchRight transforms the same content for different consumers. The Live Demo at the top shows the full protocol — discovery, licensing, and enforcement — running against the real FetchRight API.