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Use case · Chatbots and AI assistants

Give your assistant real charts to talk about

A language model guessing at planetary positions gets them wrong. Let it call the API for the chart, the day or the match, and talk about numbers that were actually computed.

  • Structured JSON a model can read field by field, with stable names
  • The rule behind each result, so the assistant can explain, not just state
  • Charts, the day's panchang and matching from one key
  • Clear errors with a code and a message the assistant can pass on
POST/api/v1/kundli
Request
curl -X POST https://vedicsense.in/api/v1/kundli \
  -H "Authorization: Bearer $VEDICSENSE_KEY" \
  -H "Content-Type: application/json" \
  -d '{"d": "1990-01-15", "t": "08:30", "lat": 26.9124, "lon": 75.7873, "place": "Jaipur", "name": "Asha", "fields": ["positions", "dasha"]}'
Response, shortened
{
  "ok": true,
  "name": "Asha",
  "ascendant": {
    "sign": "Capricorn",
    "deg": "20°10'"
  },
  "moon": {
    "sign": "Leo",
    "nakshatra": "Purva Phalguni"
  },
  "positions": [
    {
      "name": "Sun",
      "name_hi": "सूर्य",
      "sign": "Capricorn",
      "sign_hi": "मकर",
      "deg": "0°58'",
      "nakshatra": "Uttara Ashadha",
      "pada": 2,
      "house": 1,
      "retro": false,
      "chalit": 12
    },
    {
      "name": "Moon",
      "name_hi": "चंद्र",
      "sign": "Leo",
      "sign_hi": "सिंह",
      "deg": "19°04'",
      "nakshatra": "Purva Phalguni",
      "pada": 2,
      "house": 8,
      "retro": false,
      "chalit": 8
    }
  ],
  "dasha": {
    "now": "Rahu",
    "mahadashas": [
      {
        "lord": "Venus",
        "start": "1981-06-06",
        "end": "2001-06-05",
        "years": 20
      },
      {
        "lord": "Sun",
        "start": "2001-06-05",
        "end": "2007-06-06",
        "years": 6
      }
    ]
  }
}
Step by step

How to build it

  1. Describe the calls as tools

    Give your assistant the kundli, panchang and match calls as tools, with the fields from the reference. The OpenAPI file in your console describes them all.

  2. Call from your server

    The assistant asks for a tool; your server makes the call with your key and hands back the JSON. The key never reaches the user.

  3. Answer from the result

    The assistant reads the chart it was given and explains it, quoting the rule each result carries.

What it costs

An assistant with 1,000 conversations a day, about three lookups in each

1,000 × 3 × 30 days: about 90,000 calls in 30 days.

That fits the 100K plan, 100,000 calls for ₹1,999 ₹1,299 plus GST, the launch price until 31 January 2027. The price you start at is yours on every renewal.

Navagraha · the nine grahas

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