An indicative dashboard, portfolio valuation and trading application need different freshness and field guarantees. Define the use case and explain stale or unavailable values in the interface instead of presenting every quote as a live executable price.
Data use boundaries
Confirm display rights, retention and redistribution scope for the selected sources. Plan API caching and request limits around the product's traffic pattern, and avoid retaining history beyond the agreed dataset permissions.
Requirements to confirm
Display versus valuation workflow
Freshness and status design
Caching and request budget
Retention and distribution scope
Bring the proposed instrument list, source documentation and consumer workflow to a technical discussion. The agreed integration specification defines coverage, fields, usage permissions and acceptance tests.
Integration brief
Market Data for Fintech Applications: what to agree before connecting
Instrument scope
Identify the exact underlying, source identifier, quote currency and intended use.
Consumer workflow
List trading platforms, charts, risk tools and applications that need the output.
Delivery contract
Agree protocol, quote fields, timestamps, source status and recovery behaviour.
Production review
Confirm source rights, integration ownership, test evidence and commercial scope.
Begin with a consumer and instrument inventory
For your instrument universe, define who consumes the prices and what each system needs to reconstruct a usable quote. An application dashboard, broker platform and historical process can require different delivery rules even when they share one normalized instrument model.
What to test
Compare instrument definitions before combining or substituting sources.
Exercise disconnects and confirm the status presented to each consumer.
Review results with the source, adapter and consuming application owners.