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Vedic → Nakshatra Predictions
AI-generatedSummary
Calculate Vedic nakshatra predictions from birth data
Inputs
- year (required) — Birth year in 4-digit format (e.g., 1990)
- month (required) — Birth month as number 1-12 (January=1, December=12)
- day (required) — Birth day of month (1-31)
- hour (required) — Birth hour in 24-hour format (0-23, where 0=midnight, 12=noon)
- minute (required) — Birth minute (0-59)
- locationType (required) — Choose how to specify birth location: by city name (auto-detects coordinates) or exact latitude/longitude
- city (required) — Birth city name (e.g., London, New York, Kyiv)
- countryCode (required) — 2-letter ISO country code for the birth city (e.g., US, GB, UA, DE, FR)
- latitude (required) — Geographic latitude of birth location in decimal degrees (-90 to 90, positive=North)
- longitude (required) — Geographic longitude of birth location in decimal degrees (-180 to 180, positive=East)
- ayanamsa — Ayanamsa (precession correction) system for Vedic calculations
- nodeType — Calculation method for lunar nodes (Rahu/Ketu)
- precision — Decimal precision for degree calculations (0-6)
- language — Language for response text and interpretations
- simplify — Whether to return simplified response with key data only. Disable for full API response with all metadata.
Output shape
Vedic nakshatra prediction data including natal lunar mansion (Nakshatra), ruling planet, deity, and interpretive text based on the selected ayanamsa and precision settings. When simplify is true, returns key data only; otherwise returns full API response with all metadata.
All input parameters are derived from the operation-scoped UI properties filtered for resource Vedic and operation Nakshatra Predictions. Location specification depends on locationType: city and countryCode for city-based entry, or latitude and longitude for coordinate-based entry. The ayanamsa, nodeType, precision, and language parameters modify calculation and response localization.
Examples
Example 1: Basic natal nakshatra prediction
year=1990, month=1, day=15, hour=14, minute=30, locationType=city, city=London, countryCode=GB, ayanamsa=lahiri, nodeType=mean, precision=2, language=en, simplify=true