# Design a bounded company-data cache

Use case · Platforms · Planned API workflow

Canonical page: https://datasdk.ai/use-cases/design-a-bounded-company-data-cache

Plan faster repeated work while preserving customer boundaries.

## Who this helps

A builder wants responsive lookups without reusing private results incorrectly.

## How to use it

1. Separate reusable business facts from visitor-specific records.
2. Define cache keys, tenant scope, and expiry for your own system.
3. Confirm permitted data use and API behavior before implementation.

## Illustrative example

A proposed backend could reuse allowed company facts while keeping page activity private.

## What to check

Do not cache personalized visitor responses globally by URL.

## How Data SDK fits

The full Data SDK API is coming soon. Platform and AI-agent workflows are planning examples. Confirm access, data delivery, usage, branding, and resale terms before building or selling a feature.

These are suggested workflows, not a list of built-in integrations. Use your own approved analytics, CRM, and research process where needed. Matches and fields vary. A company match does not identify a person or prove buying intent.

## Related reading

- [Data freshness](https://datasdk.ai/glossary/data-freshness): Data freshness describes how recently information was checked or updated.
- [Tenant isolation](https://datasdk.ai/glossary/tenant-isolation): Tenant isolation keeps one customer's data and actions separate from another's.
- [Cache](https://datasdk.ai/glossary/cache): A cache temporarily stores a result so later requests can reuse it.
- [Offer identification in a website-builder product](https://datasdk.ai/use-cases/offer-identification-in-a-website-builder-product): Plan identification as a clearly explained optional website capability.
- [Build a tenant-safe company lookup service](https://datasdk.ai/use-cases/build-a-tenant-safe-company-lookup-service): Plan company lookup around authorized customer contexts.
- [Design a graceful no-match experience](https://datasdk.ai/use-cases/design-a-graceful-no-match-experience): Avoid misleading users with guessed names or stale company cards.

[Glossary](https://datasdk.ai/glossary) · [Use cases](https://datasdk.ai/use-cases) · [Comparisons](https://datasdk.ai/vs) · [For businesses](https://datasdk.ai/for-businesses) · [For builders](https://datasdk.ai/for-builders)
