REST or GraphQL for an astrology application?
Choose the interface around your application's data flow. Vedika documents JSON HTTP endpoints for calculations. GraphQL can organize the data exposed by your own application, but it introduces a schema and resolver layer that you must operate.
The GraphQL column describes the official GraphQL query model. It is an application architecture choice, not a claim that Vedika exposes a GraphQL endpoint.
| Decision | Documented JSON endpoint | GraphQL application layer |
|---|---|---|
| Request shape | Call a named operation with its documented input body. | Select fields from a typed schema and pass variables or field arguments. |
| Response shape | Parse the calculation endpoint's defined envelope and fields. | Read the selected result under data and handle errors according to the GraphQL contract. |
| Combining app data | Your backend can combine calculation results with account or product data. | Resolvers can expose related application data through one schema. |
| Operational responsibility | Manage endpoint authentication, validation, timeouts and application handling. | Also manage resolver authorization, query cost and schema evolution. |
Choose a direct integration for a focused calculation
A single chart screen often needs one well-defined calculation result. A server-side request to Vedika's birth-chart operation can supply that result without introducing another query language. The integration still needs a clear contract for invalid inputs, authentication failures and a calculation that has not yet completed.
GraphQL becomes useful when several clients need different selections from related application data. Its official query guide describes field selection, arguments and variables. Model the information that your application actually owns; avoid exposing a provider credential as a client-supplied argument.
Check resolver behavior before adding another layer
If your application uses GraphQL, a resolver can call the documented Vedika HTTP operation on the server and return an application-level object. Keep provider errors and business authorization separate. A user who can query a schema must still be authorized to read the chart or account record behind a field.
Selecting fewer fields does not by itself prove fewer provider calls or a faster calculation. Several resolver fields can repeat the same underlying work unless your implementation coordinates them. Test an actual screen's request count, timeout behavior and authorization boundaries before deciding that either interface is the better fit.
Decision checklist
- Identify which calculation and related application records each screen needs.
- Keep provider credentials and chart ownership checks on the server.
- Measure your implemented request flow rather than assuming a protocol is faster.
Primary references
Sources reviewed 2026-09-27. Consult the current linked contracts and pricing when implementing.
Next steps: API documentation, sandbox and current pricing.