The Best AgentOps Alternatives in 2026

Fiddler provides evaluation, monitoring, enforcement, governance, and cost controls for enterprise AI agents.

This repository catalogs AI models across providers with pricing, context, modality, and capability data.

Manifold provides visual debugging for machine learning models without depending on a specific model type.

AgentBench evaluates large language models acting as agents through a research paper and discussion page.

This guide explains LLM evaluation metrics, including measures for retrieval augmented generation and agents, with DeepEval examples.

ccusage analyzes token usage and estimated costs for coding agent command-line tools.

Cekura tests voice agents before launch and monitors production conversations for instruction-following, tool calls, and response quality.

InterLock proxies AI agent requests to databases, files, and APIs, applying policies, redacting fields, and auditing activity.

AutoRAG helps an agent search for information across files on a computer.

InfraNodus analyzes text with knowledge graphs to reveal themes and gaps across notes, PDFs, surveys, search results, and other data.

UBIAI provides tools for fine-tuning domain-specific language models and developing AI platforms.

Ragas provides an evaluation framework for AI applications, according to its documentation page.

Zerve supports research and analytics workflows, with AI agents for data discovery, analysis, reports and production deployment.

MyLens creates narrated, visual presentations from documents, sources, and ideas using AI agents.

Flexor prepares and retrieves unstructured data as context for AI agents, workflows, and enterprise decisions.

BambooAI analyzes data with a language model in a persistent Python kernel and supports web and Docker workflows.

agent-learning-kit provides an evaluation and simulation environment for AI-related workflows.

Indico benchmarks language models on extractive, classification, and predictive tasks.

SimpleBench evaluates everyday reasoning by comparing language models with human performance.

Deploybase compares GPU cloud and language model API prices, performance benchmarks, and provider market data.

OpenRouter publishes language model rankings based on real usage through its API.

PricePerToken compares API costs for language models from multiple providers.

Uncover LLM evaluation's importance and explore methods for assessing its performance and impact across industries.

LifeArchitect publishes a reference table of language models and their specifications and data points.