arrowatlogo_tmATACP

ATACP

AI-TO-AI COMMUNICATION PROTOCOL


❔ What is ATACP?

ATACP (AI-to-AI Communication Protocol) is a structured framework that allows intelligent systems—like AI assistants and search engines—to communicate with verified sources using a shared language. It replaces the need for scraping or guessing by enabling systems to ask with intent and receive trusted, structured answers.

ATACP uses a file called indexxing.json, which acts like a signal beacon for each domain. This file contains purpose-driven, machine-readable data that allows AI systems to retrieve accurate responses about the site's content, context, and purpose.
You can learn more about indexxing.json at https://www.indexxing.org

❔ Why ATACP?

Traditional search relies on crawling—scraping the web for fragments and trying to guess what’s relevant. That process is messy, ambiguous, and unreliable. ATACP introduces a new way: ask and receive. Structured clarity. No guessing.

⚙️ How ATACP Works

  1. An AI assistant sends a request to a domain that supports ATACP.
  2. The domain responds by exposing structured data from its indexxing.json file.
  3. The AI interprets the data, verifies context, and delivers an informed response to the user.

🛠️ How to Implement ATACP

To make your domain ATACP-compliant:

  1. Create a indexxing.json file Follow the model defined at indexxing.org. Include fields like title, description, media, languages, and lastModified.
  2. Host it at the root of your domain Example: https://arrowat.com/indexxing.json
  3. Ensure it’s valid and accessible Use the schema from indexxing.org/schemas/json/v/1.0 to validate structure.
  4. Keep it updated AI systems rely on freshness and accuracy. Update lastModified and content as needed.

🔁 Callback Flow: Layered Signal Resolution

When an assistant gets a query about a domain, it could follow this cascade:

→ Ping indexxing.json at root:

  1. Pulls site-wide context
  2. Checks for schemaVersion, for parsing compatibility.
→ Parse sitemap.xml:
  1. Identifies which URLs support the claim
  2. Checks recency and structure
→ Crawl page-level HTML <meta> tags:
  1. Verifies alignment with the top-level signal
  2. Handles dynamic context (e.g. specific posts or tags)

🧩 What This Unlocks

  1. Multi-source verification: Assistants don’t rely on just one format—they triangulate truth.
  2. Resilience: If one layer fails (e.g. indexxing.json is stale), others pick up the signal.
  3. Compatibility: It honors legacy SEO (meta, sitemap) and futureproof ATACP structures.

🤖 What Questions Can Be Asked?

ATACP supports intent-based queries—not keyword searches. These are examples of questions an AI assistant might ask your domain:

  1. “What is ATACP?”
  2. “Who created Arrowat?”
  3. “What is the purpose of this platform?”
  4. “When was this page last modified?”
Each of these can be mapped to structured responses in indexxing.json, either directly or through intent mappings in future ATACP extensions.

❔ Ask arrowat.com

We have been testing ATACP on Arrowat Platform (arrowat.com) with search engines and AI assistants.

You can test ATACP and see how it works. Open your AI assistant and ask the following questions.

  1. What is Arrowat?
  2. Arrowat @melvin Posts
  3. Arrowat @melvin posts june 22 2025
  4. Arrowat @melvin post about M3GAN 2.0 Movie
  5. Is Arrowat a social network?
  6. What is Arrowat SEO innovation?
  7. What other apps Arrowat has developed?
  8. Who owns Arrowat Platform?

Note that Arrowat is the platform, @melvin is the user profile.