guide

A checklist for choosing an astrology API

A practical, developer-focused checklist for evaluating an astrology API: ephemeris precision, system coverage, citations, pricing, and integration shape.

Choosing an astrology API comes down to seven checks: ephemeris precision, system coverage, citation discipline, response shape, language reach, integration surface, and honest pricing. Get the ephemeris right first, because every chart, dasha, and transit is derived from planetary positions, and verify the rest against your actual product needs rather than a feature-grid headline. This guide turns each of those into a concrete question you can answer with a sandbox call.

Start with the ephemeris, not the interpretations

An astrology API is a calculation engine wearing an interpretation layer. The interpretations are what users read, but the calculations are what make them correct. If the planetary longitudes are off by half a degree, a planet can land in the wrong nakshatra pada, a house cusp can shift, and a dasha sequence can be computed from the wrong Moon position. No amount of polished prose fixes a bad foundation.

So the first question is blunt: where do the positions come from, and how are they validated? A credible vendor can name a reference standard and a worst-case deviation. Vedika is built on the XALEN Ephemeris, its own open-source engine (Apache-2.0, published to crates.io as xalen, PyPI as xalen, and npm as @xalen/wasm, with roughly 2,200 tests). It is validated against JPL DE440 and swetest, with zero charts deviating beyond 0.1 degrees across a 5M-chart test. That is an astronomical precision statement, not an astrology-accuracy claim, and the distinction matters: position math is verifiable, prediction quality is not.

The trap to avoid

Be wary of any vendor advertising a single "accuracy" percentage for predictions. Astronomical precision can be benchmarked against ephemeris reference data; the correctness of a marriage timing or a career reading cannot be reduced to one number. When a marketing page blends the two, it is usually because the verifiable part is weak.

Check system coverage against what you will actually build

Western tropical charts and Vedic sidereal charts use different zodiac references, and KP (Krishnamurti Paddhati) adds sub-lord logic on top of the sidereal frame. These are not cosmetic differences; they change which sign a planet occupies and how houses are divided.

If you are certain you will only ever serve one tradition, a single-system API is fine. But products grow, and the day you need a second tradition you face a choice: integrate a second vendor and reconcile mismatched time, coordinate, and ayanamsa conventions, or migrate. Vedika exposes three systems in one API — Vedic (sidereal), Western (tropical), and KP — plus Jaimini, Tajaka, Lal Kitab, and numerology, all from one base URL with consistent request shapes.

Across the platform there are 700+ API operations spanning 25 domains (704 enumerated as of June 2026), so the question is rarely "does it support X" but "does the response for X contain the fields I render." Answer that in the sandbox before committing.

Demand citations, not vibes

Interpretive text is where most APIs quietly cut corners. A clean, confident paragraph can be entirely fabricated, and your users will not know until a domain expert does. For a B2B product this is a liability surface: one invented verse reference in front of a practitioner erodes trust permanently.

The check here is whether astrological claims trace to the books real astrologers are actually trained from — Brihat Parashara Hora Shastra, Phaladeepika, Saravali, Jataka Parijata, the Jaimini Sutras, Krishnamurti's KP Readers, and Ptolemy's Tetrabiblos for Western. Ask a vendor where a specific claim comes from. If the answer is a blog summary or "as commonly known," treat the interpretation layer as decorative. Vedika's interpretations are attributed to these classical sources, and computed facts (positions, houses, yogas) are generated by code rather than narrated by a model, which keeps the deterministic parts deterministic.

Read the response shape before you read the price

The shape of the API determines how much glue code you write. Vedika splits two concerns cleanly: a natural-language query endpoint for finished readings, and flat computation endpoints for raw chart data you render yourself.

The AI query path

For a finished, source-aware answer, post a question plus birth details:

curl -X POST https://api.vedika.io/api/v1/astrology/query \
  -H "x-api-key: vk_live_your_key" \
  -H "Content-Type: application/json" \
  -d '{
    "question": "When is a favourable window for changing jobs?",
    "birthDetails": {
      "datetime": "1990-08-15T08:25:00",
      "latitude": 18.5204,
      "longitude": 73.8567,
      "timezone": "Asia/Kolkata"
    },
    "speed": "fast"
  }'

Drop speed: "fast" for the deeper response, or stream tokens as Server-Sent Events from /api/v1/astrology/query/stream when you want progressive rendering in a chat UI.

The computation path

When you want structured chart data to render charts and tables in your own front end, call the V2 computation routes, which take flat parameters:

const res = await fetch("https://api.vedika.io/v2/astrology/kundli", {
  method: "POST",
  headers: {
    "x-api-key": "vk_live_your_key",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    datetime: "1990-08-15T08:25:00",
    latitude: 18.5204,
    longitude: 73.8567,
    timezone: "Asia/Kolkata",
  }),
});
const chart = await res.json();
// chart.planets, chart.houses, chart.ascendant ...

The practical test: can you get both a render-ready reading and raw computed data without switching vendors? Mixing a calculation API from one provider with a narration API from another means reconciling coordinate and time conventions across the seam, and that seam is where bugs live.

Confirm language and locale reach early

If your audience is global or India-centric, language support is not a nice-to-have. Vedika generates output in 30 languages, including 14 Indic languages, with native generation rather than a bolt-on translation pass for the supported set. Verify this with a real request in a target language rather than trusting the feature list, because translation quality on domain-specific astrological vocabulary varies widely between vendors.

Look at the integration surface for AI agents

If you are building anything agentic — an LLM that calls tools, a function-calling workflow, or an assistant inside an IDE — the integration surface matters as much as the REST API. Vedika ships a public Model Context Protocol server so an MCP-compatible client can call astrology tools directly as structured functions:

npx @vedika-io/mcp-server

It exposes 36 tools, which means an agent requests a chart or a reading as a typed tool call instead of scraping a page or guessing at an endpoint contract. For teams pairing this API with an LLM agent, that removes a whole class of brittle prompt-to-HTTP glue. There are also official JavaScript and Python SDKs if you prefer a conventional client.

Price honestly against the alternatives

Established providers each have genuine strengths. Prokerala (around $19/mo) is widely used and has broad documentation; AstrologyAPI.com (around $29/mo) offers a deep catalog of report endpoints; RoxyAPI (around $39/mo) is a solid computation-focused option. Credit them for that, then weigh what you are actually buying.

PlanPriceFit
Starter$12/moPrototypes, low-volume apps
Professional$60/moProduction apps, multi-system
Business$120/moAdds fast path and voice
Enterprise$240/moHigh volume, SLAs, add-funds billing

Per-query pricing runs roughly $0.01 to $0.05 depending on depth, and there is a free sandbox that needs no key. The honest differentiators are the open-source, DE440-validated ephemeris; three traditions plus several others under one base URL; classical-source citations; 30-language output; and a public MCP server. Map those against your roadmap, not against a feature checkbox you will never use.

Key facts

A quick checklist to copy

  1. Is the ephemeris validated against a reference standard, with a stated worst-case deviation?
  2. Does it cover every tradition your roadmap touches, from one base URL?
  3. Are interpretations attributed to real classical texts?
  4. Does the response shape match what you render, for both readings and raw data?
  5. Does it generate output in your users' languages natively?
  6. Is there an agent-friendly surface (MCP, SDKs) if you need it?
  7. Does the pricing scale with your volume without surprise gates?

Run those seven against a live request before you write integration code. The fastest way to answer most of them is the free sandbox, which returns real response shapes without an API key. From there, the documentation covers endpoint contracts, and the pricing page lays out the plans above. If you are weighing this against named alternatives, the astrology API comparison goes deeper on the trade-offs.

FAQ

What is the single most important thing to check in an astrology API?

The underlying ephemeris. Every chart, dasha, and transit is derived from planetary positions, so if those are off, nothing downstream is trustworthy. Ask whether the engine is validated against a reference like JPL DE440 and how large the worst-case deviation is.

Do I need Vedic, Western, and KP in one API, or separate services?

If you only render Western natal charts, a single-system API is fine. But many products end up needing more than one tradition, and stitching together separate vendors means reconciling different time, coordinate, and ayanamsa conventions. One API with consistent request shapes removes that reconciliation work.

How should I evaluate astrology accuracy claims?

Separate ephemeris precision (astronomical, verifiable against reference data) from interpretive accuracy (not a benchmarkable number). Treat any vendor citing an "accuracy percentage" for predictions with skepticism, and instead check whether interpretations are attributed to real classical sources.

What does the free sandbox let me test before paying?

The sandbox runs without an API key, so you can inspect real response shapes, confirm a system returns the fields you need, and prototype request bodies before committing to a plan.

Build on the Vedika astrology API

700+ operations, Vedic + Western + KP, 30 languages, an open-source XALEN ephemeris, and a built-in LLM. Free sandbox — no signup.

Try the free sandbox