Small seller testing one Korean category before inventory risk.
- 10-20 scored rows
- CSV + JSON
- one-page continue/narrow/pause recommendation
- source warnings
- next test query list
You can see exact URLs, copy, price tiers, and platform fields before touching external sites.One chosen channel avoids low-quality spam and makes replies measurable.External account action is irreversible enough to require action-time approval.Scope, price, acceptance criteria, and payment path are aligned before asking for money.K-Data Gate itself still does not collect payment while Paddle is off.Small seller testing one Korean category before inventory risk.
Seller, agency, or importer that wants a repeatable weekly Korea feed.
K-beauty importer or seller that needs official-source ingredient mapping before legal review.
AI agent builder or data team that needs a custom Korea data feed.
Submit the GitHub repository and public site so agents can discover the MCP/OpenAPI surface.
Use as an MCP discovery surface after the GitHub repository and live public pages are stable.
Verify or submit discovery metadata for the MCP server after deploy and push.
Candidate MCP deployment/discovery surface after the server package metadata is ready.
First cash path for fixed-scope $500 Signal Sprint if the operator account and payout setup are ready.
Alternative first listing with Basic/Standard/Premium packages and buyer requirements.
Later public launch after at least a few pilot users or one credible proof story.
Developer feedback surface once the free pilot can be tried without payment.
No Olive Young private endpoint bypass, login scraping, cookie reuse, or restricted-source resale.No guaranteed revenue, ranking, import clearance, legal advice, or compliance approval claim.No external post, form submit, DM, email, invoice, payment collection, account setting change, or Paddle activation without action-time approval.No fixture-backed source is described as live data.No API keys, service role keys, cookies, passwords, or payment details are printed in logs, docs, or chat.