helicone.ai's rivals

Provides observability, telemetry, and debugging for software and artificial intelligence agents.

Provides an AI control plane for LLM inference, including model gateway, routing, observability, and FinOps capabilities. It offers a platform for managing AI inference workloads. It supports various model providers…

Provides a platform to monitor AI API costs, tokens, usage, latency, errors, and request logs across different providers. It offers a unified dashboard for real-time metrics to track AI API costs and manage usage.

Provides open-source observability for AI systems, offering unified monitoring across multiple layers. It correlates data from various layers like frontend, AI/LLM APIs, databases, and networks to analyze signals. The…

Traces large language model calls and AI agents using OpenTelemetry to inspect token usage, cost, latency, and errors.

Provides an enterprise-grade AI gateway for routing, governance, guardrails, and observability. It aims for reliability, governance, and scalability for enterprise-grade LLMs, MCPs, and agents.

Routes each query to the most cost-effective model using an OpenAI-compatible API and flags hallucinations token by token.

Builds ARC, an orchestrator model that optimizes model selection and reasoning. It also provides Workshop, Arena, and an ARC API. The platform aims to route billions of tokens across the AI ecosystem.

Provides a continuous feedback loop from evaluations and monitoring for LLM applications. It aims to improve each release by automating the process of understanding performance.

Captures metadata about large language model API calls and displays aggregated cost, usage, and latency on a dashboard with spend alerting.

Provides real-time tracing, evaluation, and automated rollback for production artificial intelligence applications.

Provides open-source observability for AI agents, enabling tracing, evaluation, and debugging. It automatically identifies agent failures by capturing LLM, tool, and sub-agent calls along with costs and tokens.

Routes, secures, and manages traffic to various language models, cloud or local. It provides a unified platform for monitoring usage, optimizing costs, and ensuring AI product availability.

Provides observability and runtime control for production AI agents. It allows tracing LLM calls, enforcing runtime limits, and investigating failures. Developers can instrument processes using a lightweight SDK, and…

Routes requests to multiple AI models like Claude, GPT, and Gemini. It offers a single key for over 100 models with failover and transparent pricing. It processes over 40 million tokens.

Provides a production stack for building general artificial intelligence applications. It aims to enable organizations to democratize and productionize Gen AI across their entire structure.

Records, replays, and debugs AI agent executions by tracking LLM calls, tool calls, and errors.

Monitors AI agents in production to detect failures and pinpoint issues quickly. It helps trace problems and verify fixes. It offers real-time alerts for silent agent failures.

Provides an endpoint for OpenAI, Anthropic, and open models, routing them automatically to cut inference costs. It offers free routing through 2026 with $26 in model credits.