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Customer Account & Usage
Monitor API consumption, verify real dollar savings, and manage subscription billing with 1 click.
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Usage & Value Delivery
Tangible return on investment measured against frontier model alternatives.
API Calls Executed
0
Unmetered dynamic calls
Estimated Cloud Savings
$0.00
vs. frontier models ($0.28 / call)
Tokens Evaluated
0
Through invariant gates
Reasoning Traps Blocked
0
Industry avg 14% drift rate
How Ejentum Delivers Concrete Savings:
Running multi-turn agent reasoning workflows on frontier models (Claude 3.5 Sonnet / Opus or GPT-4o) costs approximately $0.30 per task. By pairing fast execution models (Gemini 1.5 Flash, Claude Haiku, or local models) with Ejentum cognitive vector scaffolds ($0.02/task), you achieve equal or superior reasoning accuracy while cutting baseline LLM API expenses by approximately 85%.
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Monthly Value Digest
Review the executive summary report generated for your billing cycle.
Quick Integration Guide
1. Terminal Environment
Set your key once:
export EJENTUM_API_KEY="..."
2. Zero-Dependency Python SDK
Direct import:
curl -sO https://ejentum.com/ejentum.py
3. Cursor / Claude Desktop MCP
Local server config:
https://api.ejentum.com/mcp
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