Akash Chat Integration

The Akash Chat API is a core integration inside Sentinel Scout that powers query enrichment

The Akash Chat API is an open and permissionless Llamma3 API that is powered by the Akash Supercloud.

Before any scraping task begins, user input is processed by the Akash Chat API to generate more accurate and context-rich queries. This ensures that Scout collects the most relevant and comprehensive datasets for AI and ML workflows.

Purpose of Integration

• Improve Data Relevance: Refines raw user inputs into optimized queries that yield higher-quality results.

• Enable Autonomous Agents: Allows AI agents to autonomously expand and refine queries before scraping.

How It Works

1. User Input

   • The user or agent specifies topics, keywords, or domains to scrape.

2. Query Enrichment via Akash Chat API

   • Akash Chat analyzes the input.

   • It adds semantic context, expands keywords, and refines phrasing.

   • Example: "AI ethics" → enriched into "AI ethics in healthcare, bias in AI models, responsible machine learning".

3. Integration with Brave Search

   • The enriched query is then sent to Brave Search API.

   • Brave provides a list of authoritative links that are passed into the Sentinel Scout Scraper Engine.

4. Scraper Engine Execution

   • The enriched and targeted links are scraped using Scout’s proxy nodes, headless Chrome, and bot bypass mechanisms.

   • This ensures higher success rates and clean, structured data.

Benefits of Using Akash Chat API

• Precision: Eliminates irrelevant results by sharpening the focus of queries.

• Coverage: Expands narrow inputs into comprehensive multi-keyword queries.

• Autonomy: Enables autonomous ML agents to operate end-to-end without human supervision.

• Scalability: Runs queries at scale across Scout’s distributed network.

• Privacy: Akash Chat is a fully private LLM that maintains user privacy.

Example Workflow

flowchart LR
    A[User Input] --> B[Akash Chat API - Enrichment]
    B --> C[Refined Query]
    C --> D[Brave Search API - Link Retrieval]
    D --> E[Sentinel Scout Scraper Engine]
    E --> F[Clean Dataset for AI Models]

Example Use Case

If a user requests:

{
  "query": "renewable energy policies"
}

Akash Chat might enrich it into:

{
  "enriched_query": "renewable energy policies 2025, solar policy EU, US wind farm regulations, global clean energy targets"
}

Scout then processes these enriched queries through Brave Search and distributes scraping jobs across its global proxy network.

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The Akash Chat API integration ensures that Sentinel Scout delivers datasets with higher relevance, context, and coverage, making it a powerful partner for both developers and autonomous AI agents.