Atatus API Analytics vs KeepRouter

Atatus API Analytics monitors and analyzes REST, GraphQL, and WebSocket API performance in real time. It records endpoint latency at mean, median, P95, and P99 levels, and examines traffic spikes, geographic usage, endpoint distribution, and peak-load behavior. Dependency views map downstream calls and show third-party performance, external latency, and dependency health. Tracing can connect slowdowns to database queries, containers, external services, or code regressions. Automatic capture covers performance, errors, request volumes, payload sizes, and dependencies. Backend instrumentation uses Atatus SDKs or OpenTelemetry; full capabilities require analytics=true and logBody=true settings. Dashboards provide customizable views and alert thresholds with email, Slack, PagerDuty, and webhook channels. API Analytics integrates with Atatus APM and lists Kong Gateway support. Deployment options include web, API, and self-hosted environments, with on-premises traffic analytics. Pricing is on request, with a 14-day trial and no credit card required.

KeepRouter is a cloud API gateway that puts models from multiple providers behind one account. Its compatible chat models accept OpenAI Chat Completions requests at /v1/chat/completions and Anthropic Messages requests at /v1/messages, including use with Claude Code and the Anthropic SDK. The production catalog lists 101 models with public customer prices and supported endpoints. It covers text, image, video and speech output, with billing units varying by modality. The model named free charges $0.0000 per 1M input tokens and $0.0000 per 1M output tokens, supporting chat completions, streaming and tool calling where available. Paid usage uses prepaid USD credit rather than a recurring subscription. Keys can be restricted to model allowlists, while the raw key appears once at creation. Logs capture request operations without prompt or completion bodies. KeepRouter runs on Cloudflare’s global edge network, supports OpenCode and Continue setup, and says customer data is not used for model training.