{"best_for":["Enterprise software teams","Fortune 500 companies","AI agent developers","Organizations with strict compliance requirements"],"citation":{"dataset":"aitoolsforbusiness-agent-tool-export","directory_tool_url":"https://aitoolsforbusiness.ai/honeyhive","json_profile_url":"https://aitoolsforbusiness.ai/data/tools/honeyhive.json","markdown_profile_url":"https://aitoolsforbusiness.ai/data/markdown/tools-md-025.json","schema_version":"1.4.0","suggested_citation_label":"AI Tools for Business: HoneyHive (https://aitoolsforbusiness.ai/honeyhive)"},"features":["Distributed Tracing: Captures AI workflows, including agent runs, tool calls, and LLM interactions using OpenTelemetry-native integration.","Online Evaluations: Runs automated evaluations on live production traffic to help detect agent failures and quality issues.","Monitoring and Alerts: Supports setting up targeted alerts on schema properties to track cost, latency, and guardrail violations.","Experiment Tracking: Supports testing agents offline against datasets and comparing versions to identify regressions.","Annotation Queues: Provides an interface for domain experts to manually review and grade AI outputs based on custom rubrics.","Prompt Studio: A shared workspace for managing, versioning, and editing prompt templates and model variants."],"freshness_status":"fresh","name":"HoneyHive","pricing_note":"HoneyHive offers a free Developer tier limited to 10,000 events per month and 5 users. Enterprise plans provide custom usage limits, unlimited users, and dedicated support.","pricing_url":"https://honeyhive.ai/pricing","primary_category":"Software Development","profile_last_verified":"2026-06-06T13:08:41.019Z","secondary_categories":[],"short_description":"HoneyHive is an AI observability platform that provides distributed tracing and monitoring alerts for teams managing AI agents in production.","slug":"honeyhive","sponsorship_status":"none","url":"https://aitoolsforbusiness.ai/honeyhive","use_cases":["Production Agent Monitoring: Observing AI agents in live environments to detect anomalies and failures.","Performance Evaluation: Using online live-traffic tests and automated evaluators to measure agent faithfulness and context relevance.","Regression Testing: Integrating evaluation runs into CI/CD workflows to identify performance drops before new releases.","Human-in-the-loop Quality Control: Routing flagged traces to subject matter experts for manual review to align AI outputs with business standards."],"website_url":"https://honeyhive.ai/"}