Revised Oracle-Specific Pricing Model:

• Annual Access Fee: $200,000 (flat fee for access and integration).
• Per API Call Fee: Assuming a discounted rate for high volume, let's say $0.003 per API call after the first 1 million included in the annual fee.
• Estimated Volume: Given Oracle's broad client base, let's assume a significant usage of 50 million API calls annually beyond the included quota.

Estimated Revenue from Oracle:

• Annual Access Fee: $200,000
• Revenue from API Calls: (50 million calls - 1 million included) * $0.003 = $147,000
• Total Annual Revenue from Oracle: $200,000 (Access Fee) + $147,000 (API Calls) = $347,000

Estimated Costs:

Let's break down the costs, focusing on AWS costs for image/video recognition and any additional processing, along with a portion of operational overhead attributed to supporting Oracle's volume.

• AWS Costs for Image/Video Recognition: Assuming a cost of $0.001 per API call for the 50 million calls, the total AWS cost would be $50,000.
• Operational Costs: Given the scale of Oracle's use, let's allocate a simplified estimate of $50,000 annually for additional infrastructure, support, and maintenance required to manage this partnership effectively.
• Total Annual Costs: $50,000 (AWS) + $50,000 (Operational) = $100,000

Margin Calculation:

Margin=(Total Revenue−Total CostsTotal Revenue)×100Margin=(Total RevenueTotal Revenue−Total Costs)×100

Margin=(347,000−100,000347,000)×100=71.18%Margin=(347,000347,000−100,000)×100=71.18%

1. API Call Calculation:
   • For monitoring: 5 mentions * 10 platforms * 24 hours = 1,200 API calls/day for brand mentions and content for one client.
   • Monthly API Calls: 1,200 calls/day * 30 days = 36,000 API calls/month for one client.
   • Considering additional functionalities like facial recognition might increase the need by approximately 10%.

Total API Calls Needed for 100 Clients:

1. Standard Monitoring Calls:
   • 36,000 API calls/month * 100 clients = 3,600,000 API calls/month for standard content monitoring.