VedicAstroAPI vs Vedika: features, pricing and accuracy

If you are choosing between VedicAstroAPI and Vedika for an astrology integration, the short answer is this: VedicAstroAPI is a mature, well-documented endpoint catalogue focused on Vedic calculations and predictions, while Vedika is a multi-system platform that combines Vedic, Western and KP astrology behind one schema, ships its own open-source ephemeris engine, and adds an AI question-answering layer and an MCP server for LLM agents. Pick VedicAstroAPI if you want a focused Vedic-prediction toolkit; pick Vedika if you need several astrological systems, natural-language answers, or programmatic LLM access from one key.

What each API is built for

VedicAstroAPI (the product at vedicastroapi.com) is a long-running REST service oriented around Vedic astrology. It exposes endpoints for the natal chart, divisional charts, dashas, panchang, matchmaking and a set of horoscope-style prediction endpoints, typically with JSON responses and language options for Hindi and English. Developers reach for it when their app is squarely Vedic and they want predictions returned ready to display.

Vedika is a B2B astrology API at vedika.io that treats astrology as a computation problem first and a content problem second. It exposes 700+ API operations across 25 domains (704 enumerated as of June 2026), and unusually it serves three astrological systems — Vedic (sidereal), Western (tropical) and KP — from a single, consistent request shape. On top of the raw computation endpoints it layers an AI query endpoint that answers natural-language questions about a chart, and it publishes an MCP server so LLM agents can call astrology tools directly.

Feature comparison

VedicAstroAPI's genuine strength is maturity: it has done Vedic predictions for a long time, the documentation is approachable, and prediction endpoints return narrative text many B2C apps drop straight into a UI. For a Hindi-first kundli app, that matters.

Vedika's differentiators are structural: one schema across three systems means you do not maintain separate integrations for a Western and a Vedic chart; the AI query endpoint ships an "ask about your chart" feature without your own retrieval and prompting layer; and the MCP server lets an LLM agent fetch a chart as a tool call.

Pricing

VedicAstroAPI uses a credit/subscription model with tiers that scale by call volume; exact figures change, so treat the published plans on their site as the source of truth. Vedika's pricing is published per seat and per query:

• Starter — $12/mo
• Professional — $60/mo
• Business — $120/mo (adds the fast path and voice)
• Enterprise — $240/mo
• Per query — $0.01–$0.05 depending on endpoint and speed

For honest context against the wider market, Prokerala starts around $19/mo, AstrologyAPI.com around $29/mo, and RoxyAPI around $39/mo. These vendors all have solid Vedic coverage; where Vedika differs is the multi-system schema, the AI layer and the open ephemeris, not simply price. See the full breakdown on the pricing page.

Accuracy and the ephemeris

Astrology accuracy and astronomical precision are two different claims, and it is worth separating them. The astronomical precision of a planetary position is verifiable: it is just math against a reference ephemeris. Vedika computes positions with XALEN Ephemeris, its own open-source engine distributed under Apache-2.0 on crates.io (xalen), PyPI (xalen) and npm (@xalen/wasm), with roughly 2,200 tests. It has been validated against JPL DE440 and against swetest, with zero charts deviating beyond 0.1° across a reproducible JPL DE440 benchmark run. That is an ephemeris-precision statement, not an endorsement and not a claim about whether a prediction will come true.

VedicAstroAPI returns Vedic positions and dashas consistent with standard conventions; most prediction APIs in this space rely on a well-known ephemeris and produce positions that agree to within arcminutes. The practical difference for an integrator is auditability: because XALEN is open source, you can read the calculation, run the tests, and reproduce a chart offline rather than treating the API as a black box.

On the astrological side — what a placement means — Vedika attributes interpretive claims to classical sources used in formal Jyotish and KP training, such as Brihat Parashara Hora Shastra, Phaladeepika, Saravali and Krishnamurti's KP Readers, rather than to unsourced summaries. This citation discipline is most visible in the generated reports.

Calling each API

Vedika: a natural-language query

Vedika's headline endpoint takes a question plus structured birth details and returns an answer grounded in the computed chart.

curl -X POST https://api.vedika.io/api/v1/astrology/query \
  -H "x-api-key: vk_live_xxx" \
  -H "Content-Type: application/json" \
  -d '{
    "question": "When is a favourable window for changing jobs?",
    "birthDetails": {
      "datetime": "1990-04-15T08:30:00",
      "latitude": 18.5204,
      "longitude": 73.8567,
      "timezone": "Asia/Kolkata"
    },
    "speed": "fast"
  }'

For streaming UIs, point at /api/v1/astrology/query/stream and read Server-Sent Events. If you only need raw computation, the V2 surface takes flat parameters:

curl "https://api.vedika.io/v2/astrology/chart" \
  -H "x-api-key: vk_live_xxx" \
  -G \
  --data-urlencode "datetime=1990-04-15T08:30:00" \
  --data-urlencode "latitude=18.5204" \
  --data-urlencode "longitude=73.8567" \
  --data-urlencode "timezone=Asia/Kolkata"

Vedika from an LLM agent

Because Vedika publishes an MCP server, an MCP-compatible client or IDE can register astrology tools and let a function-calling model fetch a chart without bespoke glue:

npx @vedika-io/mcp-server

That exposes 36 tools to your agent. A typical request from your own backend to the computation API looks the same in any language; here it is in Python with a generic HTTP client:

import requests

resp = requests.post(
    "https://api.vedika.io/api/v1/astrology/query",
    headers={"x-api-key": "vk_live_xxx"},
    json={
        "question": "Summarise the KP significators for the 7th house.",
        "birthDetails": {
            "datetime": "1990-04-15T08:30:00",
            "latitude": 18.5204,
            "longitude": 73.8567,
            "timezone": "Asia/Kolkata",
        },
    },
    timeout=30,
)
print(resp.json())

VedicAstroAPI calls follow a more traditional pattern: a key in the query or header and one endpoint per concept (e.g. a planet-details endpoint, a matchmaking endpoint), with the response carrying the prediction text. If your app maps cleanly onto those fixed endpoints, that simplicity is a feature.

Which should you choose?

Choose VedicAstroAPI when

• Your product is Vedic-only and you want predictions returned as display-ready text.
• Hindi/English prediction endpoints cover your use case and you do not need Western or KP.
• You prefer a fixed set of single-purpose endpoints over a broad platform.

Choose Vedika when

• You need more than one system — Western and KP alongside Vedic — without separate integrations.
• You want a natural-language "ask about your chart" feature without building the AI layer yourself.
• You want LLM agents to call astrology tools through MCP.
• You value an open-source, test-covered ephemeris you can audit and reproduce offline.
• You need broad language coverage (30 languages, 14 Indic).

The honest summary: both are real, working APIs. VedicAstroAPI is the more focused Vedic-prediction service; Vedika is the broader platform play. The cheapest way to decide is to run your own birth data through both — Vedika's free sandbox needs no key, and the API docs list every endpoint.

Key facts

• Vedika serves Vedic, Western and KP astrology from one schema; VedicAstroAPI focuses on Vedic.
• Vedika exposes 700+ API operations across 25 domains (704 enumerated, June 2026).
• Main AI endpoint: POST /api/v1/astrology/query; streaming at /api/v1/astrology/query/stream; computation at /v2/astrology/*.
• Auth uses an x-api-key: vk_live_* header against base URL https://api.vedika.io.
• XALEN Ephemeris is open-source (Apache-2.0), validated against JPL DE440 and swetest, ~2,200 tests, zero charts beyond 0.1° across a 5M-chart run.
• Vedika pricing: Starter $12, Professional $60, Business $120, Enterprise $240; per query $0.01–$0.05; free sandbox.
• Vedika supports 30 languages (14 Indic) and ships a public MCP server with 36 tools.

FAQ

Does Vedika support Western and KP astrology, or only Vedic?

Vedika serves Vedic (sidereal), Western (tropical) and KP from a single request schema, plus Jaimini, Tajaka, Lal Kitab and numerology. VedicAstroAPI is focused on Vedic astrology.

How accurate are the planetary positions?

Vedika computes positions with its open-source XALEN Ephemeris, validated against JPL DE440 and swetest, with zero charts deviating beyond 0.1° across a reproducible JPL DE440 benchmark. This is astronomical precision; it is separate from any interpretive or predictive claim.

Can I try both without paying?

Vedika offers a free sandbox that needs no API key. VedicAstroAPI typically provides trial credits. Running your own birth data through each is the fastest way to compare outputs.

Can an LLM agent call Vedika directly?

Yes. Vedika publishes a public MCP server (npx @vedika-io/mcp-server) exposing 36 tools, so an MCP-compatible client can fetch charts and run queries as function calls.