# Plan a retry-safe enrichment workflow

Use case · Platforms · Planned API workflow

Canonical page: https://datasdk.ai/use-cases/plan-a-retry-safe-enrichment-workflow

Design safer retries before connecting company data to actions.

## Who this helps

A builder wants delayed lookups to avoid duplicate work or records.

## How to use it

1. Identify which operations can be repeated safely.
2. Use documented retry timing and your own deduplication rules.
3. Confirm API behavior before creating downstream records.

## Illustrative example

A proposed worker would update one research record when a pending result arrives.

## What to check

Polling, limits, and retry contracts must be agreed; this is not a published API specification.

## 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

- [Polling](https://datasdk.ai/glossary/polling): Polling checks a service repeatedly to see whether a result is ready.
- [Rate limit](https://datasdk.ai/glossary/rate-limit): A rate limit restricts how many requests a service accepts over a period.
- [Idempotency](https://datasdk.ai/glossary/idempotency): Idempotency means repeating an operation has the same intended effect as performing it once.
- [Plan a white-label reseller package](https://datasdk.ai/use-cases/plan-a-white-label-reseller-package): Define a product offer whose scope can be confirmed before sale.
- [Add a company research link to product records](https://datasdk.ai/use-cases/add-a-company-research-link-to-product-records): Plan a small feature that helps users verify a business themselves.
- [Design a bounded company-data cache](https://datasdk.ai/use-cases/design-a-bounded-company-data-cache): Plan faster repeated work while preserving customer boundaries.

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