Datadog vs Tokenomy.ai

Agents, cloud integrations and OpenTelemetry collectors feed one platform where metrics, distributed traces, profiles and logs can be pivoted between without context switching.

Bits AI, an agent builder and LLM/AI-agent observability help teams triage alerts, explain anomalies and monitor model latency, token spend and agent traces.

Cloud SIEM, cloud security posture management, vulnerability management, workload protection and code scanning correlate threat signals with the telemetry you already collect.

Real user monitoring, session replay, product analytics, synthetic and mobile testing sit alongside CI visibility, test optimization, feature flags and DORA metrics.

Routes and records every LLM and agent call across OpenAI, Anthropic, Google, xAI, OpenRouter and Ollama, attributing cost down to individual steps, tools and workspaces.

Hard and soft caps evaluated in the request path, with HTTP 402 quota enforcement and Slack alerts so limits trigger before the money leaves your account.

Sends each request to the cheapest model that still satisfies your quality and latency thresholds, and fails over automatically when a provider slows down or errors.

Gross margin per customer and feature, forecasts with confidence bands, commitment burn-down for cloud and vendor contracts, plus auditable chargeback exports and invoice runs.