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Solution

Stop your AI from hallucinating charts

Chart-first architecture for Jyotish chatbots: fetch real Kundali and Dasha data before every LLM reply. Sub-50ms lightweight endpoints, 10,000 free calls/month, OpenAPI for agent tooling.

The chart-first pattern

  1. 1

    User submits birth date, time, and place.

  2. 2

    Your backend calls Navamsha Kundali and Dasha endpoints with your API key.

  3. 3

    Attach engine metadata (ayanamsa, node mode, house system) to the context block.

  4. 4

    Pass structured JSON — not summaries — to the LLM for interpretation.

FAQ

How do I stop my AI astrologer from hallucinating charts?

Fetch deterministic chart JSON from Navamsha before every LLM call. Pass structured planetary positions — not prose summaries — into the model context.

Which APIs should an AI astrologer chatbot call?

Start with Kundali/basic for birth charts, dasha/current for timing context, and panchang/daily for muhurta questions. All return stamped engine metadata.

Can Claude or ChatGPT use Navamsha data?

Yes — connect the hosted Navamsha astrology MCP at navamsha.fastmcp.app with your X-API-Key, or wire OpenAPI-defined REST tools. Docs: www.navamsha.in/mcp.

Is there a production reference for this pattern?

Astro Vedica uses chart-first grounding with Navamsha APIs for Vedica AI — live at astrovedica.in.