PromptLayer vs Tokenomy.ai

Edit, version, diff and roll back prompts from a visual dashboard with no coding, so product, marketing and content teams can iterate on prompts while engineers keep control of the deploy.

Run dataset-backed tests with human and AI graders, trigger regression evals whenever a prompt changes, backtest new versions against historical data and compare prompts across models.

Connect production traces to the exact prompt version that produced them and inspect failures, cost, latency and token usage by feature, model or user.

Build, trace and improve agent workflows with prompts, tool calls, evaluations and logs in one place, so multi-step runs can be tested before they ship.

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.