How We Cut Our API Calls by 85% Without Losing a Single Data Point

Last week we noticed something alarming in our API usage logs. Nydar was making nearly 15,000 API calls per day to our primary market data provider — against a daily budget of 2,000. We were overshooting by 7.5x. Not by a little. Not by double. By seven and a half times our allocation. The data was still flowing because the provider throttles gradually rather than hard-blocking, but we were living on borrowed time. One policy change on their end and our entire stock data pipeline goes dark. No quotes, no heatmaps, no analyst ratings, no institutional holdings. Everything that makes Nydar useful for stock traders — gone. We had to fix it. And we had to fix it without users noticing anything had changed. This is the story of how we diagnosed the problem, fixed it in four phases over 48 hours, and ended up with a genuinely better product than we started with. Why not just buy more quota? Before we get into the technical work, let's address the obvious question. Our data provider offers pa