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PROOF & BENCHMARKS · ENTERPRISE-GRADE
One platform. Three astrology systems. An in-house astronomical engine. AI interpretation grounded in the classical texts. Here is the evidence, every number verifiable.
These are the engine and platform proofs. An evaluation of how AI systems answer astrology questions, the Vedika Bench, is coming soon.
No competitor comes close to this surface area. Every bar is a production category you can call today.
Browse the current API catalog for endpoint availability.
Most APIs do one. Vedika ships all three, fully isolated so values never cross-contaminate between systems.
Vedika does not rent its astronomy. The XALEN Ephemeris is our own engine for planetary positions, house cusps and divisional math — a core differentiator no other astrology API owns.
It delivers sub-arcsecond precision, independently validated against reference ephemerides. That is the foundation every one of the 704 operations is built on.
XALEN Ephemeris is open-source (Apache-2.0). Below is its measured agreement with NASA's JPL DE440 reference ephemeris across a dense 1900–2050 grid (3,653 epochs per body), in arcseconds of ecliptic longitude. Every number here is reproducible from the public repo with a single command — nothing is hard-coded.
# Fetch NASA's public DE440 kernel, then run the benchmark
curl -L -o /tmp/de440s.bsp https://naif.jpl.nasa.gov/pub/naif/generic_kernels/spk/planets/de440s.bsp
cargo run -p xalen-validation --release --bin de440_bench| Body | Mean (″) | RMS (″) | Max (″) |
|---|---|---|---|
| Sun | 0.08 | 0.10 | 0.19 |
| Mercury | 0.08 | 0.10 | 0.26 |
| Venus | 0.09 | 0.11 | 0.40 |
| Mars | 0.08 | 0.09 | 0.32 |
| Jupiter | 0.16 | 0.19 | 0.46 |
| Saturn | 0.17 | 0.19 | 0.39 |
| Uranus | 0.40 | 0.56 | 1.41 |
| Neptune | 0.62 | 0.89 | 2.15 |
| Pluto | 0.35 | 0.45 | 1.29 |
| Moon | 2.20 | 2.82 | 11.52 |
How to read it, honestly: every planet agrees with the NASA JPL DE440 reference to sub-arcsecond across the full 150-year window; the analytic Moon is arcsecond-class (load the DE440 kernel for sub-arcsecond Moon when you need it). We match the reference-grade standard — we do not claim to beat Swiss Ephemeris, which is itself a JPL reference. No competitor publishes a comparable runnable benchmark. Source + 2,200+ tests: github.com/vedika-io/xalen-ephemeris · install: cargo add xalen-ephem / pip install xalen / npm i @xalen/wasm.
Astronomy is computed, not guessed. Interpretation is grounded in the texts real astrologers train from.
Every interpretive claim traces to a recognised classical source — the canon practising astrologers are trained from. No blog summaries, no invented verses.
Live service status: vedika.io/status. Uptime and support terms for enterprise plans are agreed in a signed order form.
About 50 ms median server time, calculation endpoints (Oct 2026). AI answers take longer. Data is stored in India (Mumbai). Live service status: vedika.io/status.
15 Indian languages and 14 international languages — written by the model, not machine-translated after the fact.
Generic astrology APIs hand you numbers and stop. Vedika returns computation, AI interpretation and precision-checked output in a single call.
| Capability | Vedika API | Generic astrology APIs |
|---|---|---|
| Astronomical computation | In-house XALEN Ephemeris | Third-party / raw values |
| AI interpretation in the same call | Yes, native | No — raw JSON only |
| Positional precision | Sub-arcsecond, validated | Unstated |
| Astrology systems | 3 — Vedic, Western, KP | Usually 1 |
| Total API operations | 704 | Tens |
| Languages | 30 native | 1–2 |
| Classical-text grounding | BPHS · Phaladeepika · Saravali · Jaimini | None |
| Free keyless sandbox | 704 mock operations | Rare |
| SDKs & integrations | JS · Python · MCP (36 tools) · WordPress | Minimal |
Everything you need to go from signup to production, fast.
704 operations, three systems, your own white-label astronomical engine behind every call. Start free in the sandbox or get a production key today.