AI-powered astrology API for developers. One endpoint, any question, expert answers. Vedic + Western astrology in one platform -Nvidia & Google Backed Firm
Build the experience. Plug in the astrology.
Text answers. Turn-based voice replies. PDF reports.
Vedika brings these product surfaces together through one API platform.
Explore the keyless mock-data sandbox:
https://t.co/P7NatVSAvB
Give your customers an astrology report they can keep.
Your logo. Your name. Your colours.
Explore Vedika's English PDFs, embedded viewer and mock-data previews. White-label access is plan-dependent.
https://t.co/h7jkx4v90o
Test the gaps, not just timestamps.
Five sampled times missed a brief chart state at about +3.45 to +6.32 min in a fictional test case.
Calculation check only; forecast skill untested.
Full paper: https://t.co/MhFcTYBvN4
What happened between the checks?
Five sampled times missed a brief chart state at about +3.45 to +6.32 min in a fictional test case.
Calculation check only; forecast skill untested.
Full paper: https://t.co/MhFcTYBvN4
Full paper: https://t.co/MhFcTYBvN4
Five timestamps can miss what happens between them.
In a fictional chart test, all five samples missed a brief chart state. We show why checking the gaps matters.
A Birth Chart Is All You Need?
A computational check, not a prediction test.
Your Death | Full paper: https://t.co/Vxeg5iq6C0
What would a prediction of your death have to prove?
We reconstructed a Ptolemaic timing rule. Its results are angular-time units, not ages.
Historical review; no validated death-date prediction.
A Birth Chart Is All You Need? is a research draft, not externally peer reviewed. It does not test production forecasts. More papers, including Your Death on longevity claims and mortality evidence, are coming before our November 1 launch.
https://t.co/MhFcTYAXXw
In Vedika’s synthetic experiment, a birth-time search produced 87% false positives under a deliberately flawed test; rerunning the search within the test gave 4.7%. For astrology and faith-app builders, how should a prediction earn trust? Our research series starts here.
The audit caught a separate issue: the artificial model’s expected future score was worse than the baseline even without a search. That was built into the model family. The search inflated historical fit; it did not explain that future-loss penalty.