AI Governancefor E-Commerce
Per-agent cost tracking, dynamic rate limiting for sales events, and fleet-wide budget management. Govern every AI call your recommendation engines, search agents, and support bots make -- with zero code changes.
One base URL swap. Full cost visibility. Start free with 1,000 requests/day.
The cost problem with AI-powered commerce
E-commerce AI agents generate high-volume, traffic-sensitive AI calls that require different governance than typical applications.
Typical AI traffic spike during flash sales events
Cost Explosion from AI Agents
Product recommendation agents, search assistants, and customer support bots generate thousands of AI calls. During a flash sale, traffic spikes 10-50x and so does your AI bill. Without per-agent cost tracking, you cannot identify which agents are burning budget.
The HTTP status code your customers see when agents hit rate limits
Rate Limiting During Peak Traffic
Black Friday, flash sales, and product launches create massive traffic spikes. Without dynamic rate limiting, your AI agents either overwhelm provider rate limits (causing failures for all users) or you over-provision and waste budget during normal hours.
Average number of AI agents in an e-commerce product stack
Multi-Agent Cost Attribution
A typical e-commerce AI stack has multiple agents -- product search, recommendations, reviews summarization, customer support. When total AI costs spike, you need to know which agent caused it, on which model, for which customer segment.
How the gateway controls AI costs
Four layers of cost governance built for high-volume e-commerce workloads.
Per-Agent Cost Tracking
Every AI request is tagged with the agent that made it, the model used, and the organization context. The cost recorder tracks real-time spend in Redis (for speed) and writes to MongoDB (for audit). The dashboard shows per-agent cost breakdowns updated in real time.
See exactly which agent is burning your budget -- in real time
Dynamic Rate Limiting
Configure per-org and per-key request rate limits that adapt to your traffic patterns. During normal hours, set conservative limits. Before a sale event, increase limits via API or dashboard. Rate-limited requests get proper 429 responses with retry-after headers so clients back off gracefully.
Adjust limits before sales events -- via API or dashboard
Budget Caps per Agent
Set daily and per-request cost limits for each agent. The recommendation engine gets $100/day. The reviews summarizer gets $20/day. If the recommendation engine hits its cap, it stops making AI calls -- but the customer support bot keeps running on its separate budget.
Isolated budgets -- one agent hitting its cap does not affect others
Model Cost Optimization
Use model allowlists to steer agents toward cost-efficient models. Route high-volume, low-complexity tasks (product descriptions, search ranking) to cheaper models like GPT-4o-mini or DeepSeek. Reserve expensive models for complex tasks like personalized styling advice.
Route 80% of calls to models that cost 10x less -- same quality
Example: Product recommendation fleet
A 4-agent fleet processing 45,700 AI requests per day -- each agent with its own budget cap, cost tracked to the penny.
| Agent | Model | Role | Req/Day | Cost/Day | Budget |
|---|---|---|---|---|---|
| Search Agent | gpt-4o-mini | Semantic product search and ranking | 24,000 | $8.20 | $15 |
| Recommendation Engine | claude-sonnet-4 | Personalized product recommendations based on browse history | 12,000 | $42.50 | $60 |
| Reviews Summarizer | deepseek-r1 | Generates concise review summaries for product pages | 6,500 | $4.80 | $10 |
| Support Bot | gpt-4o | Customer support with order tracking and returns | 3,200 | $18.30 | $30 |
| Fleet Total | 45,700 | $73.80 | $115 | ||
Daily Cost Distribution
Amber indicates agents approaching their daily budget cap. When an agent hits 100%, it stops making AI calls until the next day.
Fleet cost savings: 36% budget headroom. This fleet spends $73.80/day against a $115/day aggregate budget. Before Curate-Me, this team had no per-agent visibility and was spending $120+/day with no way to identify which agent was over-consuming.
“During our last flash sale, AI costs spiked 12x. With Curate-Me in place for our next event, we set per-agent budget caps and rate limits. AI costs only went up 3x -- and every customer still got recommendations in real time.”
-- VP Engineering, DTC E-Commerce Brand (design partner)
Control your AI costs.
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Swap one base URL. Get per-agent cost tracking, dynamic rate limiting, and fleet budget management -- instantly.