Full Trace Inspection

See exactly what your agent did: every tool call, prompt, and decision in order. Replay any run step by step and jump to the span where behavior broke.

Debug long-running agents that span hours or days, including retries, loops, and handoffs between sub-agents.

Production-Grade Evaluations

Evaluate live traffic and connect scores with real user outcomes. Use automated evaluators (code-based or LLM-as-a-judge) and human annotation queues with custom rubrics.

Measure quality against production, not just test suites, and catch regressions before customers notice.

Proactive Alerts & Drift Detection

Set thresholds on any score, detect drift, and get notified by email or webhook when a threshold breaks.

Alert before users notice issues, keeping your agents reliable in production.

OpenTelemetry-Native & Vendor-Agnostic

Automatically instrument 100+ models and frameworks with SDKs in Python and TypeScript. Trace custom agents, coding agents, and no-code platforms.

See every agent wherever it runs, without changing how your teams build.

Granular RBAC & Org-Wide Policies

Define evaluation and monitoring standards once and apply them across every workspace. Custom roles with dozens of fine-grained permissions scoped to org, workspace, or project.

Give every team self-serve observability while maintaining security and compliance.

Open Data Exports

Export traces, evaluations, and metrics to your warehouse, lakehouse, or streaming platform in open formats (OTLP, Parquet, JSONL) via Snowflake, Databricks, BigQuery, S3, Redshift, or Kafka.

One source of truth for everyone building agents, from engineers to risk officers.

• Comprehensive observability for production agentsHoneyHive provides full-stack observability for AI agents, including tracing of every prompt, tool call, output, and handoff. It supports debugging long-running agents with step-by-step replay, and monitoring quality, cost, latency, usage, and outcomes over time.
• Online and offline evaluation capabilitiesThe platform enables both online evaluations on live production traffic and offline experiments against datasets. It supports LLM-based and code-based evaluators, composite evaluators, and human annotation queues, allowing teams to score agent quality and safety comprehensively.
• Proactive alerting and drift detectionHoneyHive allows users to set thresholds on any score, detect behavior drift, and receive alerts via email or webhook before users notice issues. It also provides anomaly detection and the ability to investigate the traces behind alerts.
• Enterprise-grade security and deployment flexibilityThe Enterprise plan includes SAML & custom SSO, custom data retention controls, uptime SLA, custom DPA and BAA, dedicated TAM & QBRs, and optional self-hosting, hybrid, or single-tenant deployment. It also supports unlimited users and workspaces.

• Pricing details are limitedThe website only shows a free Developer plan with 10,000 events per month and an Enterprise plan with custom pricing. No specific pricing tiers or costs for other plans are provided, so you must contact sales for exact pricing.
• Integrations are not fully listedWhile the site mentions support for OpenTelemetry, agent frameworks, model providers, coding agents, and no-code platforms, it does not enumerate specific integrations. Do not assume any particular integration is supported beyond what is shown.
• Customer claims are specific to one caseThe only customer spotlight is Commonwealth Bank of Australia (CBA), with claims of 17M retail consumers and 55K internal users served. These numbers are specific to that customer and should not be generalized to all HoneyHive users.
• Feature availability may vary by planThe pricing page indicates that some features like custom dashboards, dataset curation, and alerts & drift detection are listed under 'Observability' but does not clarify which are included in the free Developer plan vs. Enterprise. Check with sales for plan-specific feature access.

Debug Long-Running Agents

HoneyHive lets you inspect every trace and replay any run step by step, including every tool call, prompt, and decision. Follow trajectories that span hours or days—retries, loops, and handoffs between sub-agents—and jump straight to the span where behavior broke.

Monitor Quality in Production

Evaluate live traffic and connect scores with real user outcomes, so quality is measured against production, not your test suites. Set thresholds on any score, detect drift, and get alerted before users notice via email or webhook.

Apply Org-Wide Evaluation Standards

Define evaluation and monitoring standards once and apply them consistently across every agent you trace. Use default evaluators like Groundedness, RAG Answer Faithfulness, Tool Correctness, Multi-Agent Toxicity, and Safety, auto-applied to every new workspace.

Manage Evaluators as Code

Manage evaluators, datasets, prompts, and alerts as code—version them in Git, automate workflows in CI, and make them accessible to coding agents. Use the CLI and config-as-code to push evaluators and validate them in CI.

Sign up for a free HoneyHive account and connect your Shopify store.

Define target categories and set search filters (price range, sales velocity).

Run the AI research scan and review the ranked product list.

Export selected items to Shopify or download CSV for bulk import.