Migrating from AstrologyAPI.com to Vedika

Migrating from AstrologyAPI.com to Vedika is mostly an endpoint-mapping and request-shape exercise: you keep your stored birth records, swap the base URL to https://api.vedika.io, change the auth header to x-api-key: vk_live_*, and translate each call to its Vedika equivalent. Vedika exposes 700+ operations across 25 domains (704 enumerated as of June 2026), covers Vedic, Western, and KP in one API, and offers a free sandbox so you can build and verify the new integration before issuing a production key.

Why teams evaluate a move

AstrologyAPI.com is a capable, long-running provider with broad endpoint coverage and clear documentation, and many production apps run on it happily. If it meets your needs, there is no reason to churn for its own sake. Teams typically look elsewhere for concrete reasons: they need more than one astrological system without stitching together separate products, they want a natural-language query layer instead of assembling raw computation results themselves, they need broad language coverage, or they want a transparent ephemeris they can audit.

Vedika's differentiators are specific rather than promotional. It serves Vedic (sidereal), Western (tropical), and KP from a single key. It ships a natural-language astrology endpoint in addition to flat computation endpoints. It supports 30 languages (14 of them Indic). And its underlying astronomical engine, the XALEN Ephemeris, is open source under Apache-2.0, so the math behind your charts is inspectable rather than a black box.

The two request styles you will use

AstrologyAPI.com is computation-first: you call a specific endpoint for a specific calculation and assemble the result. Vedika gives you both that style and a higher-level natural-language style.

V2 computation endpoints (closest to what you have today)

The /v2/astrology/* family takes flat fields and returns structured data. The request shape is close to what most providers expect, so your existing birth-record model maps over with a thin adapter.

curl -X POST https://api.vedika.io/v2/astrology/planets \
  -H "x-api-key: vk_live_your_key_here" \
  -H "Content-Type: application/json" \
  -d '{
    "datetime": "1990-08-15T14:30:00",
    "latitude": 18.5204,
    "longitude": 73.8567,
    "timezone": 5.5,
    "system": "vedic"
  }'

The natural-language query endpoint (new capability)

If you are currently composing several computation calls and writing your own interpretation layer, the query endpoint can replace much of that. You pass a question plus birth details and receive a grounded, source-aware answer.

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": "What does my chart say about career timing this year?",
    "birthDetails": {
      "datetime": "1990-08-15T14:30:00",
      "latitude": 18.5204,
      "longitude": 73.8567,
      "timezone": 5.5
    },
    "speed": "fast"
  }'

For chat-style or progressive UIs, the streaming variant /api/v1/astrology/query/stream returns Server-Sent Events so you can render tokens as they arrive.

Endpoint mapping reference

Use this table as a starting point. Field names differ between providers, so wrap each call in an adapter rather than find-and-replacing URLs.

Browse the full surface in the API reference; the 25 domains include charts, divisional charts, dashas, transits, compatibility, muhurta, numerology, and more.

Auth and configuration changes

The mechanical differences are small and predictable:

• Base URL: change to https://api.vedika.io.
• Auth header: send x-api-key: vk_live_* rather than your previous provider's user/key body parameters. Production keys use the vk_live_ prefix; enterprise keys use vk_ent_.
• Timezone field: Vedika expects a numeric UTC offset (for example 5.5), which avoids ambiguity around DST and named-zone parsing. Normalize your stored zone to an offset for the birth moment.
• System selection: set system to vedic, western, or kp instead of routing to a different product.

A small wrapper keeps the rest of your codebase untouched:

async function vedikaQuery(question, birth) {
  const res = await fetch("https://api.vedika.io/api/v1/astrology/query", {
    method: "POST",
    headers: {
      "x-api-key": process.env.VEDIKA_API_KEY,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      question,
      birthDetails: {
        datetime: birth.datetime,      // "1990-08-15T14:30:00"
        latitude: birth.lat,
        longitude: birth.lon,
        timezone: birth.utcOffset,     // 5.5
      },
      speed: "fast",
    }),
  });
  if (!res.ok) throw new Error(`Vedika ${res.status}`);
  return res.json();
}

Accuracy and the ephemeris question

One reason teams migrate is to remove uncertainty about the math under their charts. The XALEN Ephemeris is Vedika's own engine, published openly as crates.io/xalen, PyPI xalen, and npm @xalen/wasm, with roughly 2,200 tests in its suite. It has been validated against JPL DE440 and against swetest, with zero charts deviating beyond 0.1 degrees across a five-million-chart test.

To be precise about what that means: this is astronomical precision — where the planets are — not a claim about astrological interpretation, and it is not an endorsement by any space agency. Interpretation is a separate concern, and Vedika handles it conservatively: astrological statements are attributable to the classical sources practitioners actually train on, such as Brihat Parashara Hora Shastra, Phaladeepika, Saravali, and Krishnamurti's KP readers, rather than paraphrased web summaries.

Three systems and language coverage

If your product only needs one tradition today, single-system coverage is fine. The benefit of consolidating appears when requirements grow. A Western-facing feature and a Vedic-facing feature can share one integration, one key, and one billing relationship. KP support means horary and cuspal-sub-lord workflows are available without bolting on a separate service.

Language is the other place teams often hit a wall after launch. Vedika generates output in 30 languages, including 14 Indic languages, so localizing a horoscope feature is a request parameter rather than a downstream translation pipeline you maintain yourself.

AI assistants and the MCP server

If part of your roadmap is wiring astrology into AI assistants or LLM agents, Vedika ships a public Model Context Protocol server (npx @vedika-io/mcp-server) exposing 36 tools. Any MCP-compatible client or IDE can call charts, dashas, and queries as native tools, which removes the function-calling glue you would otherwise hand-write for your LLM. This is additive — your REST integration keeps working — but it is worth knowing about while you plan the cutover.

A tested cutover checklist

1. Build against the free sandbox first; it needs no key, so you can finalize request shapes before procurement.
2. Write a small adapter that maps your stored birth record to both the flat V2 shape and the nested birthDetails shape.
3. Run a shadow comparison: send identical birth data to your current provider and to Vedika, diff the structured fields, and confirm planetary positions and house placements line up within tolerance.
4. Decide where to replace post-processing with the natural-language query endpoint and where to keep raw computation.
5. Roll out behind a feature flag, start with a small traffic share, and watch error rates and latency before increasing it.
6. Right-size your plan on the pricing page using real sandbox-measured volume, not estimates.

Key facts

• Base URL: https://api.vedika.io; auth header x-api-key: vk_live_*.
• 700+ operations across 25 domains (704 enumerated, June 2026).
• Vedic (sidereal), Western (tropical), and KP in one API, plus Jaimini, Tajaka, Lal Kitab, and numerology.
• Natural-language endpoint POST /api/v1/astrology/query; SSE streaming at /api/v1/astrology/query/stream; flat computation at /v2/astrology/*.
• 30 languages (14 Indic); free sandbox with no key required.
• XALEN Ephemeris is open source (Apache-2.0), validated vs JPL DE440 and swetest with zero charts beyond 0.1 degrees across a five-million-chart test.
• Plans: Starter $12/mo, Professional $60, Business $120, Enterprise $240; per-query $0.01-$0.05.

Frequently asked questions

Can I run both providers during migration?

Yes — separate base URL and header mean no collision. Route a small traffic share to Vedika behind a flag, compare outputs for identical birth data, then ramp.

Is Western and KP support real or just Vedic?

All three ship in one API and are selected per request, alongside Jaimini, Tajaka, Lal Kitab, and numerology.

Will migration force a data-model change?

Rarely. The V2 endpoints use flat datetime/latitude/longitude/timezone fields; the query endpoint nests the same fields under birthDetails. A thin adapter covers both.

Ready to start? Open the sandbox, map your first endpoint, and run a shadow comparison this afternoon.