Insights by OmkarKriya

Compare

Kriya, side by side with Prokerala.

We're asked this often, so: here's the honest comparison. We cite our own numbers; we mark Prokerala's as “not publicly documented” where we couldn't find equivalent disclosure. Verify everything against the vendor's own docs before you commit.

Comparison

The dimensions developers care about.

Endpoint count is just the start.

REST endpoints
Kriya109 v1 endpoints
Prokerala~70 (per their docs)
Async jobs (rectification, research) and LLM-grounded /ask-chart are first-class on Kriya; we couldn't find equivalents on Prokerala.
House systems
Kriya10 named: Placidus, Koch, Regiomontanus, Campanus, Porphyry, Equal, Whole-Sign, Topocentric, Alcabitius, Morinus
ProkeralaPlacidus, Koch, Equal, Whole-Sign (per docs)
Ayanamsas (sidereal)
Kriya5 (Lahiri, Raman, Krishnamurti, Yukteshwar, Pushya-Paksha)
ProkeralaLahiri (others not publicly documented)
Body catalog
KriyaSun + Moon + 8 planets + Pluto + Ceres / Pallas / Juno / Vesta + Chiron + Pholus + Nessus + Eris + Haumea + Makemake + Sedna + Quaoar + 158 fixed stars
ProkeralaClassical 10 + a small asteroid set (per docs)
Accuracy disclosure
KriyaPublic — worst-case |dλ| vs JPL Horizons across 23 bodies on /accuracy. Sub-arcsec on 22/23. Moon ceiling published at docs/MOON_CEILING.md
ProkeralaNot publicly documented
Kriya publishes residuals body-by-body and names the analytical-theory ceiling that limits the geometric Moon. We have not found a comparable disclosure for Prokerala.
Algorithmic stack
KriyaHome-grown VSOP87D + ELP/MPP02 + DOPRI8 8(7) n-body integrator. Every coefficient cited in SOURCES.md
ProkeralaNot publicly disclosed
Auto-generated SDKs
KriyaTypeScript · Python · Go — zero runtime dependencies, regenerated on every release
ProkeralaCommunity wrappers (PHP, Node) — not maintained by the vendor
OpenAPI 3.1 spec
Kriya/api/v1/openapi.json — public, drives the SDK generation
ProkeralaNot publicly published
Free tier
Kriya10,000 calls / month · every endpoint · no card
Prokerala~5 / day on the free token (per docs)
Paid entry point
KriyaKriya Pro · $29/mo · 100,000 calls
ProkeralaFrom ~$10/mo for ~1,000 calls/day
Per-call: Kriya Pro at $0.00029. Prokerala equivalents at $0.00033. Kriya Max ($99 / 1M) drops to $0.000099.
Async jobs
KriyaRectification + research jobs as first-class kinds, with polling, progress, and SSE streaming on long scans
ProkeralaNot publicly documented
LLM-grounded interpretation
Kriya/ask-chart — multi-turn, stateless, Claude-grounded, forced to cite chart placements
ProkeralaNot publicly documented
Source attribution
KriyaSOURCES.md — pre-1929 PD-only doctrine, every traditional rule traced to its primary source
ProkeralaNot publicly documented

Last reviewed against publicly accessible Prokerala documentation: April 2026. We re-verify on each Kriya release. Spot something out of date? — admin@insightsbyomkar.com.

Why it matters

No black box.

Most astrology APIs run on Swiss Ephemeris under the hood — a fine library with a copyleft license that quietly limits what you can build downstream. Their accuracy claim is a third-party assertion. Their algorithmic choices are invisible.

Kriya is computed from first principles. The full coefficient sets — VSOP87D from IMCCE, ELP/MPP02 from Chapront & Francou, DOPRI8 8(7) from Hairer & Wanner — live in the engine. Every residual against JPL Horizons is public on /accuracy. The Moon-ceiling document publishes the one residual we can't close — and the two multi-week paths that would close it. The doctrine attributions live in SOURCES.md: pre-1929 public-domain only, every traditional rule traced to its primary source.

That posture is a moat against the day a customer asks “where exactly does this number come from?” — it's also the reason we can ship a permissively-licensed SDK in three languages. The MIT license on kriya-astrology means your downstream product isn't legally entangled with ours.

When the other vendor wins

When to pick Prokerala instead.

Honest selling means saying when you're not the right answer. Pick Prokerala if:

For everything else — accuracy posture, transparency, modern SDKs, async jobs, LLM-grounded interpretation, pricing per call — the math comes out our way.