HoneyHive
Also known as: HoneyHive AI
OpenTelemetry native platform to trace, evaluate, and monitor AI agents across development and production, combining automated and human evaluation with a versioned system of record.
HoneyHive is an observability and evaluation platform built specifically for AI agents and LLM applications, aimed at the gap between a promising prototype and a system that holds up in production. It is OpenTelemetry native, so rather than replacing a team's existing stack it instruments every step of an agent run, the prompts, retrieval, tool calls, and model outputs, and turns that into distributed traces. The company positions itself as a DevOps stack for AI, with a single system of record that versions traces, prompts, tools, datasets, and evaluators for full auditability.
On the observability side, HoneyHive visualizes agentic workflows as graphs so teams can see where an error cascades across tool calls and reasoning steps, monitors cost, latency, and quality in production, and supports custom dashboards, alerts and drift detection, segment analysis, and user feedback capture. It logs synchronously or asynchronously through its SDK, and provides automatic instrumentation for more than fifty libraries including LangChain, LangGraph, AWS Strands, Google ADK, and the OpenAI Agents SDK. By default it does not proxy model requests; prompts are stored as configurations and fetched through an API.
Evaluation is the platform's other half and spans the full lifecycle. Teams run offline tests on large suites before deployment, compare versions, and catch regressions in CI through GitHub Actions, then evaluate live traffic online with sampling. HoneyHive ships dozens of prebuilt evaluators, lets teams write custom code or LLM evaluators in an evaluator console, and supports third party evaluators, covering checks like context relevance, answer faithfulness, tool use accuracy, and custom moderation filters. It pairs automated scoring with human evaluation through annotation queues and custom rubrics, and lets teams curate golden datasets from production or synthetic data, with critical failures escalated to humans for review.
HoneyHive keeps agent payloads isolated per tenant, sees only metadata and metrics rather than the payloads themselves, and is SOC 2 Type II, GDPR, and HIPAA compliant with third party penetration testing. The free Developer tier covers 10,000 events a month for up to five users with thirty day retention and the full observability and evaluation suite. The Enterprise tier, quoted on request, adds custom limits, unlimited users, SAML single sign on, custom roles, PII scrubbing, a business associate agreement, and hosting that ranges from single tenant SaaS to hybrid and fully self hosted. Startup discounts are available for companies under five million dollars raised.
Vendor details
Canonical URL
https://www.honeyhive.ai
Category
Agent infrastructure
Subcategory
Evaluation and observability
Funding status
Raised $7.4M total, a $5.5M Seed led by Insight Partners and a $1.9M Pre-Seed led by Zero Prime Ventures, with the platform reaching general availability in April 2025. Founded by Mohak Sharma (CEO, ex-Templafy) and Dhruv Singh (CTO, ex-Microsoft, OpenAI Innovation Team), based in New York. Customers include Commonwealth Bank of Australia, Global Top 10 banks, and Fortune 500 enterprises. Independent.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
OpenTelemetry native with Python and TypeScript SDKs and automatic instrumentation for more than fifty libraries including LangChain, LangGraph, AWS Strands, Google ADK, and the OpenAI Agents SDK. Integrates with CI through GitHub Actions and exposes a docs MCP server, and other languages can send traces to its OTEL collector.
In practice
Your agent works in testing but fails unpredictably across multi step tool calls in production. You instrument it with HoneyHive's OpenTelemetry SDK, view the run as a graph, and pinpoint where the cascade breaks.
You are about to change a prompt and worry about regressions. You run HoneyHive's offline evaluation on a large test suite in CI, compare against the prior version, and block the deploy if scores drop.
A regulated bank needs agent payloads kept in its own environment. You deploy HoneyHive self hosted with PII scrubbing and a BAA, keeping sensitive traces inside your boundary while still getting evals and monitoring.
Sources & related URLs
Related / legacy domains
Capability coverage
6.5 / 14 capabilities · 46%
| Integrations & Tool CallingOpenTelemetry native with automatic instrumentation for more than fifty libraries including LangChain, LangGraph, AWS Strands, Google ADK, and the OpenAI Agents SDK, plus CI through GitHub Actions and a docs MCP server, but it observes and evaluates rather than being a tool calling layer. | Partial |
|---|---|
| Workflow OrchestrationTraces and evaluates agent workflows but does not orchestrate production agent execution, sequencing, or branching. | Unable to verify |
| Knowledge Grounding & RAGEvaluates RAG pipelines for context relevance and faithfulness but does not itself provide retrieval or knowledge grounding. | Unable to verify |
| Human Oversight & GuardrailsHuman evaluation through annotation queues and custom rubrics, automatic escalation of critical failures to humans for review, and custom moderation filters, but oversight sits in the evaluation loop rather than blocking agent actions at runtime. | Partial |
| Security, Identity & GovernanceComprehensive posture: SOC 2 Type II, GDPR, and HIPAA with a BAA, SAML and custom SSO, basic and custom RBAC with permission groups, PII scrubbing, custom DPA, third party penetration testing, per tenant isolation up to physical separation, and custom data residency. | Full |
| Observability & AuditabilityCore product. OpenTelemetry native distributed tracing, agent workflow graphs, cost, latency, and quality monitoring, custom dashboards, alerts and drift detection, plus a system of record that versions traces, prompts, tools, datasets, and evaluators for auditability. | Full |
| Memory & State PersistenceVersions traces, datasets, prompts, and evaluators as a system of record, but does not provide an agent memory or state persistence layer. | Unable to verify |
| Deployment & Data ResidencyOffers multi tenant SaaS, single tenant SaaS, hybrid (managed control plane with self hosted data plane), and fully self hosted across all major clouds, with custom data residency and up to physical data separation. | Full |
| Prebuilt Agents, Templates & PacksShips dozens of prebuilt evaluators out of the box, but these are evaluation metrics rather than prebuilt agents, installable packs, or a marketplace. | Unable to verify |
| Triggers & Channel CoverageAlerts and drift detection, CI/CD triggered evaluation through GitHub Actions, and continuous online evaluation with sampling, but no conversational channel coverage or agent invocation runtime. | Partial |
| Model Flexibility & RoutingModel agnostic with custom model provider support in the playground and prompt studio, but it is not a routing or model traffic gateway and does not proxy requests by default. | Partial |
| APIs, SDKs & MCP ExtensibilityComprehensive Python and TypeScript SDKs, OpenTelemetry native APIs, a configuration API, custom code and LLM evaluators, and a docs MCP server, a strong extensibility story though the MCP surface is documentation oriented. | Partial |
| Testing, Debugging & OptimizationCore product. Offline evaluation on large test suites, version comparison and regression tracking in CI/CD, online evaluation with sampling, dozens of prebuilt plus custom code and LLM evaluators, multi turn agent simulations, golden dataset curation, and trace based debugging. | Full |
| Browser & Computer UseNot applicable. HoneyHive is an observability and evaluation layer and does not provide browser automation or computer use. | Unable to verify |
Pricing
Free Developer tier (10K events/mo, 5 users) · Enterprise contact sales
Event volume (trace spans plus metrics), users, retention, and hosting model; paid Enterprise pricing is custom and quoted on request
Included quota
Free Developer: 10,000 events/mo, up to 5 users, single workspace, 30 day retention, 1,000 requests/min. Enterprise: custom event limits, unlimited users and workspaces, custom retention. An event is one trace span or metric-label combination.
What is public
The free Developer tier's limits and the full feature matrix across Developer and Enterprise are public, but Enterprise dollar pricing is not.
Billing mechanics
Billed on event volume (each trace span or metric-label pair counts as an event) plus users, retention, and hosting model. The free tier is a hard 10,000 events a month; paid usage is custom Enterprise pricing quoted per customer.
Cost watchouts
Events are counted as trace spans plus metrics, so verbose tracing burns quota quickly; the 30 day retention cap on free and all advanced security and hosting controls require Enterprise.
Variable cost rationale
Cost is driven by event volume (trace spans plus metrics), which scales with how much agent traffic you instrument, and Enterprise pricing is custom, so spend can grow with usage in ways that are not published.
Additional watchouts
Event volume is the meter, and each trace span and metric counts, so heavily instrumented agents consume the free quota fast. Compliance (HIPAA, BAA, PII scrubbing), SAML, custom roles, and self hosting are all Enterprise only.
Overage / add-ons
The free tier is capped at 10,000 events a month; beyond that you move to Enterprise with custom usage limits quoted on request. No public per event overage rate.
Sales call required
Yes — required for paid access
Free / trial
Free Developer tier: 10,000 events/month, up to 5 users, single workspace, 30 day retention, full observability and evaluation suite, no card. Startup discounts for companies under $5M raised.
Lowest paid plan
Enterprise (custom pricing); only the free Developer tier is self serve
Commercial notes
Bottom up free tier for individual developers with a generous full feature suite, then a single Enterprise tier for scale, compliance, and hosting flexibility. Startup discounts for companies under five million dollars raised. Used by a global top ten bank and Fortune 500 enterprises.
Key ambiguities
Enterprise dollar pricing and the per event cost above the free quota are not public.
Cancellation / refund
Developer is a free self serve tier. Enterprise terms are contractual and not disclosed.
Support SLA / resale
Community and email support on Developer; Slack or Teams connect, an uptime and support SLA, and a dedicated CSM with team trainings on Enterprise.
Missing data
All Enterprise dollar pricing, per event overage rates, and where custom limits land are quoted on request and not public.
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