Revenium vs Treblle

Revenium tracks AI usage costs, provides spending controls and connects costs with business outcomes. It attributes model calls, agent turns and tool calls to teams, customers, features and agents, for engineering, finance, FinOps and product teams. Spend guardrails, alerts and budget thresholds can block or throttle requests that exceed configured limits. For ROI analysis, it relates AI costs to total cost of ownership, cost of goods sold and return on investment per workflow, including tool calls and human rescue time. Revenium is available through web and API, and lists integrations such as Arize, Ollama, ClickHouse, LangChain, GitHub, Anthropic, OpenAI, Google Gemini, Databricks, Datadog, Snowflake and Claude. Named providers include OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Google Vertex AI and custom models through its SDK. Its free Observe plan includes 100,000 transactions per month, seven days of retention and one user. Growth includes 350,000 transactions monthly, 90 days of retention and 10 users; the listed Enterprise plan includes 1M+ transactions and unlimited users. Revenium says it meters usage metadata and requires opt-in for payload capture.

Treblle is an enterprise platform for finding and securing APIs and agents across clouds, gateways, and technologies. Its observability tools show more than 50 data points per request in real time, covering performance, errors, consumer behavior, and payload content. It detects more than 20 threat types, including SQL injection, broken authentication, shadow endpoints, and payload anomalies. Discovery searches code repositories, gateways, and live traffic; governance adds maturity scoring, design-time rules, CI/CD integration, and drift detection. Treblle can generate documentation from live traffic and keep it synchronized with deployments. Listed integrations include AWS API Gateway, Kong, Apigee, Express, Spring Boot, Django,.NET, Go, and Ruby on Rails. Deployment choices are SaaS, on-premises, air-gapped, and private cloud, with stated feature parity. On-premises data stays within the customer's network; private cloud runs in the customer's AWS, Azure, or GCP account and selected region. Core costs $233 a month, billed yearly, and includes five APIs, five million monthly requests, and 30 days of retention. Aspen is a native API client for Windows and Mac.