Hi. I’ve faced this issue myself and found an insightful piece on Styloceleb titled Why Most Enrichment APIs Fail at Scale — and How Generect Solves It. The article points out that many systems, including a typical
lead enrichment api, tend to work fine at low volume but struggle when datasets grow. Challenges include shrinking coverage, high latency, strict throttling, and messy data that the system can’t normalize. Generect’s approach is different: it integrates multiple data layers, handles asynchronous bulk loads efficiently, and still supports real-time lookups. It also refreshes records to fight data decay and applies scoring so you know the reliability of each match. This combination makes it clear why most APIs break at scale and what to expect from a resilient solution.
