Alternatives to AICosts.ai

Track AI spend across OpenAI, Anthropic, Google AI, Bedrock and Azure in one live cost dashboard.

Local, MIT-licensed token usage and cost tracking for AI coding agents — reads the logs your agents already write.

Zero-config local dashboard that shows what your OpenClaw agents actually did, what they cost, and whether they leaked secrets

Comet's Opik brings LLM observability and evaluation that turns agent traces into code fixes

Helicone is an AI gateway and LLM observability platform that routes, caches, and logs traffic across 100+ model providers.

Galileo turns offline AI evals into production guardrails for agents and RAG pipelines.

SuperPenguin is AI spend intelligence that attributes every AI dollar to a customer, feature, team, or merged pull request.

Open-source Python library that turns vibe checks into reproducible evaluation loops for RAG pipelines and AI agents.

Token Monitor tracks AI coding token usage, cost, and quota limits across 44+ tools in one free desktop widget.

Open-source LLM observability: trace agents, manage prompts, and run evals on one MIT-licensed platform.

Nebuly turns the conversations employees and customers have with your AI agents into adoption, fluency and ROI numbers for enterprise leaders.

Open-source LLM observability and agent evaluation you can trace, self-host, and eval end to end.

AI quality workspace for LLM evaluation, production observability, red teaming, and governance

Open source AI engineering platform for agent and LLM tracing, evaluation, prompt management, and ML lifecycle work.

Maxim AI simulates, evaluates and observes AI agents — with Bifrost, its open-source LLM gateway, for routing and guardrails.

Braintrust traces agent runs, scores them with evals, and surfaces production failure patterns before they ship.

LangSmith is agent and LLM observability from the LangChain team: trace, monitor, evaluate, and deploy AI agents.

Put a hard question to three frontier models — they answer blind, cross-examine each other, and hand back the one answer that survived, with a verdict.

NannyML estimates your ML model's live performance without ground-truth labels and alerts you only when it actually matters

Fiddler AI is an enterprise control plane for agent observability, inline guardrails, and auditable AI governance.

Open-source AI evaluation and observability for LLMs, RAG apps, AI agents, and ML models.

Trace, replay and debug AI agent runs — LLM calls, tool use and multi-agent interactions in one timeline, via a single SDK

Athina is a shared workspace where your team writes prompts, runs evals, annotates datasets, and traces LLM calls in production.

Laminar delivers open-source AI agent observability that auto-captures every LLM and tool call and surfaces failures with Signals.

Cekura tests, monitors, and self-improves voice AI agents with automated QA loops.

Conan is a native macOS HUD for Claude Code that streams every prompt, tool call, skill and token live as the session runs.

Goodfire's Silico is an AI interpretability agent for reverse-engineering, debugging, and steering model internals.

Open-source Python framework that traces every AI agent span and scores runs with benchmarked, explainable LLM judges.

Raindrop traces, detects, and simulates fixes for silent AI agent failures in production before they reach your users.

OpenLIT delivers OpenTelemetry-native LLM tracing, evals, guardrails, and prompt management you self-host free under Apache 2.0.