If you are choosing a Vedic astrology API in 2026, score candidates on four axes: the ephemeris engine behind the charts, how many systems and operations one key unlocks, how cleanly the AI and computation paths separate, and what the bill looks like at scale. This guide compares the well-known options honestly, then explains where the Vedika Intelligence API fits, with real endpoint shapes you can call today.
What actually separates astrology APIs in 2026
Most astrology APIs return the same surface-level data: a chart, planetary positions, a dasha timeline, maybe a daily horoscope string. The differences that matter to a developer are deeper, and they show up only after you integrate.
- Ephemeris precision. Where do the planetary positions come from, and have they been validated against an authoritative astronomical reference?
- System coverage. Can one API key produce Vedic (sidereal), Western (tropical), and KP charts, or do you stitch together multiple vendors?
- Computation vs. interpretation. Are the numbers code-computed and deterministic, with AI used only for language — or is the AI also inventing the math?
- Operational breadth. How many distinct operations does the catalog expose, and are they documented and stable?
- Honest pricing. Flat monthly tiers, per-call metering, or a mix — and what happens when traffic grows?
The honest landscape
Several providers have earned their place, and it is worth crediting their genuine strengths before drawing distinctions.
Prokerala
Prokerala (entry plans around $19/mo) is a long-standing choice for straightforward Vedic data — kundli, panchang, dasha, matchmaking. It is approachable for a first integration and the documentation is clear. Its scope is primarily Vedic, so multi-system work usually means adding a second source.
AstrologyAPI.com
AstrologyAPI.com (plans around $29/mo) offers a broad menu of Vedic and Western endpoints and prebuilt horoscope content, which is handy for consumer apps that want ready-made copy. Teams that need to control interpretation tone or cite classical sources tend to want more transparency into where the text comes from.
RoxyAPI
RoxyAPI (plans around $39/mo) is developer-friendly with solid computational endpoints and reliable uptime. It is a reasonable pick when you mostly need clean numbers and are comfortable assembling higher-level features yourself.
These are real options. The distinctions below are about engineering choices, not marketing claims.
The engine underneath: XALEN Ephemeris
Charts are only as trustworthy as the astronomy that produces them. The Vedika Intelligence API computes positions with XALEN Ephemeris, an open-source engine published by the same team under Apache-2.0. You can read the code yourself and even run it without the API:
crates.io/xalen(Rust)PyPI: xalen(Python)npm: @xalen/wasm(WebAssembly, browser or edge)
The engine ships with roughly 2,200 tests and has been validated against the JPL DE440 planetary reference and the standard swetest tool. Across a reproducible JPL DE440 benchmark, no chart deviated beyond 0.1° from the reference positions. That figure is ephemeris precision — an astronomical statement about where the planets are, not a claim about astrological interpretation, and not an endorsement from any space agency. But it is the foundation everything else rests on: if the longitude of Saturn is wrong, every dasha, aspect, and yoga downstream is wrong too.
Because the engine is open source, you can audit it, vendor it, or pre-compute offline and call the hosted API only for interpretation. That optionality is rare in this category.
Three systems, one key
A practical pain point with single-system APIs is reconciling charts when your product needs more than one tradition. The Vedika Intelligence API exposes Vedic (sidereal), Western (tropical), and KP from the same key and the same underlying engine, plus Jaimini, Tajaka, Lal Kitab, and numerology. The sidereal/tropical distinction is handled correctly per system, so a Western natal chart and a Vedic kundli for the same birth data will differ exactly where they should and agree on the raw astronomy.
The catalog spans 700+ API operations across 25 domains (704 enumerated as of June 2026). That breadth means most features you would otherwise build by gluing vendors together already exist as a documented operation.
Key facts
- 700+ operations across 25 domains (704 enumerated, June 2026).
- Vedic + Western + KP in one API, plus Jaimini, Tajaka, Lal Kitab, numerology.
- XALEN Ephemeris is open source (Apache-2.0); ~2,200 tests; validated vs JPL DE440 and
swetest; no chart beyond 0.1° across a 5M-chart test. - 30 languages supported, including 14 Indic languages.
- Computation endpoints are deterministic; AI is used only for natural-language interpretation.
- A public astrology MCP server ships 36 tools for LLM agents.
Calling the API
There are two layers. The V2 computation endpoints return deterministic structured data (charts, dashas, panchang) with a flat request body. The AI query endpoint takes a natural-language question plus birth details and returns a grounded interpretation.
A natural-language reading
curl -X POST https://api.vedika.io/api/v1/astrology/query \
-H "x-api-key: vk_live_your_key_here" \
-H "Content-Type: application/json" \
-d '{
"question": "When is a favorable period for marriage?",
"birthDetails": {
"datetime": "1992-03-14T09:25:00",
"latitude": 18.5204,
"longitude": 73.8567,
"timezone": "Asia/Kolkata"
}
}'Add "speed": "fast" for a lower-latency response from Vedika Swift; omit it for the deeper Vedika Pro Ultra path. For token-by-token delivery, post the same body to /api/v1/astrology/query/stream and read Server-Sent Events.
Deterministic computation
import requests
resp = requests.post(
"https://api.vedika.io/v2/astrology/chart",
headers={"x-api-key": "vk_live_your_key_here"},
json={
"datetime": "1992-03-14T09:25:00",
"latitude": 18.5204,
"longitude": 73.8567,
"timezone": "Asia/Kolkata",
},
)
chart = resp.json()
print(chart["ascendant"], chart["planets"])The V2 body is flat (datetime, latitude, longitude, timezone) rather than nested, which keeps computation calls simple to construct programmatically. You can explore every shape in the free sandbox with no key required.
Why citations matter for a B2B integration
If you are putting astrology in front of paying users, the interpretation layer is a liability surface. The Vedika Intelligence API treats every astrological claim as something that must trace to a real classical source used in formal Jyotish, KP, and Western training — works such as the Brihat Parashara Hora Shastra, Phaladeepika, Saravali, Jataka Parijata, the Jaimini Sutras, the KP Readers, and Ptolemy's Tetrabiblos. The pipeline computes the facts in code first, then constrains the language model to interpret only what the chart and the cited tradition support, rather than letting it free-associate. For an enterprise buyer, that separation — deterministic math, sourced interpretation — is the difference between a feature and a support ticket.
AI agents and the MCP server
If you are building with LLM agents or an MCP-compatible client or IDE, the API ships a public astrology Model Context Protocol server exposing 36 tools, so a function-calling model can request a chart, a dasha period, or a reading without you hand-writing the glue:
npx @vedika-io/mcp-serverYour assistant can then call typed tools directly and feed the structured results back into its own reasoning. The documentation walks through the tool list and authentication.
Pricing, compared
The tiers are wallet-credit subscriptions; usage draws against the balance at roughly $0.01–$0.05 per query depending on path.
| Plan | Price/mo | Notes |
|---|---|---|
| Starter | $12 | Standard query + computation |
| Professional | $60 | Higher volume |
| Business | $120 | Adds fast path + voice |
| Enterprise | $240 | Add-funds + dedicated terms |
For context, comparable Vedic-focused plans elsewhere start around $19 (Prokerala), $29 (AstrologyAPI.com), and $39 (RoxyAPI). The right choice depends on whether you need one system or three, prebuilt copy or sourced interpretation, and whether an open-source engine you can audit matters to your stack. See the full breakdown on the pricing page.
How to choose
- Need only basic Vedic data? Any of the established providers will serve you; pick on docs and price.
- Need multiple systems from one key? Favor an API that computes Vedic, Western, and KP from a shared engine to avoid reconciliation bugs.
- Shipping AI-generated readings to customers? Insist on source-cited interpretation and code-computed facts, not a single model improvising the whole chart.
- Building with agents? An MCP server and a clean function-calling surface save real integration time.
Start in the sandbox, then move to a vk_live_ key when you are ready.
FAQ
Which Vedic astrology API should I choose in 2026?
There is no single winner for every team. Prokerala, AstrologyAPI.com, and RoxyAPI are solid for focused Vedic work. The Vedika Intelligence API stands out when you need Vedic, Western, and KP from one key, an open-source ephemeris engine you can audit, and source-cited AI interpretation.
How accurate are the charts?
Charts are computed by the open-source XALEN Ephemeris, validated against the JPL DE440 reference and swetest, with no chart deviating beyond 0.1° across a reproducible JPL DE440 benchmark. That is astronomical precision; astrological interpretation is a separate, source-cited layer.
Can one key return Vedic, Western, and KP charts?
Yes. All three systems share the same engine and the same vk_live_ key, alongside Jaimini, Tajaka, Lal Kitab, and numerology.
Is there a free way to evaluate it?
Yes. The sandbox is free and requires no API key, so you can inspect every request and response shape before subscribing.