Hex Cost Tuning

Hex Cost Tuning

Overview

Hex pricing combines per-seat licensing with compute-based charges for notebook runs and data connections. Each scheduled or ad-hoc notebook execution consumes compute credits proportional to query complexity and data volume processed. Organizations running dozens of notebooks on hourly schedules — many producing identical results from unchanged data — accumulate unnecessary compute costs. Caching run results, optimizing schedules, and consolidating redundant notebooks are the highest-leverage cost reduction strategies.

Cost Breakdown

API Call Reduction

class HexRunOptimizer {
  private resultCache = new Map<string, { data: any; timestamp: number }>();
  private dataHashes = new Map<string, string>();

  async runIfChanged(projectId: string, runFn: () => Promise<any>): Promise<any> {
    const currentHash = await this.getSourceDataHash(projectId);
    if (this.dataHashes.get(projectId) === currentHash) {
      const cached = this.resultCache.get(projectId);
      if (cached) return cached.data; // Source unchanged — serve cached result
    }
    const result = await runFn();
    this.resultCache.set(projectId, { data: result, timestamp: Date.now() });
    this.dataHashes.set(projectId, currentHash);
    return result;
  }

  private async getSourceDataHash(projectId: string): Promise<string> {
    const res = await fetch(`/api/v1/project/${projectId}/status`);
    return (await res.json()).sourceDataHash;
  }
}