Start here for the decision-making essentials: what Honeycomb does, who it is for, how it is accessed, and the first-party sources behind this profile.
Pricing1 plans
Proper month
Starting at $150/month
50M events starting (up to 750M), 250M time series data points (up to 3.75B), 100 Triggers, 2 SLOs, Single-Sign On (SSO)
Platforms
Amazon Web Services
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseOpenTelemetry is an open source project that is part of the Cloud Native Computing Foundat
Best suited to
Source-backed fit
Engineering teams running microservices and distributed systems Teams building LLM-powered and AI-era applications Cloud-native organizations on AWS needing Private Cloud deployment Enterprise engineering teams requiring SLO management and Premium Support
AI infrastructure · Tool
Honeycomb
Decision-ready
Honeycomb is the observability platform built for AI-era software. Fast queries, unified telemetry, and LLM observability. Used by Slack, Intercom, and Dropbox.
Short answers to the questions buyers and builders commonly ask about Honeycomb. Each answer cites the shared ledger below, where every source is listed once.
01What does Honeycomb say it can do?
Observability platform built for AI-era software with distributed tracing, unified telemet · Includes Heatmaps, BubbleUp, SLOs, and unlimited attributes with high-cardinality event-ba · Agent Timeline traces multi-agent conversations end-to-end and tracks token cost and laten · Free tier includes 2 Triggers, Distributed Tracing, BubbleUp, and OpenTelemetry Support, u
Honeycomb is the observability platform built for AI-era software. Fast queries, unified telemetry, and LLM observability.
OpenTelemetry-native platform with unlimited fields and unlimited users at no extra cost, · OpenTelemetry · OpenTelemetry — Honeycomb actively supports and contributes to the project
With Honeycomb's OpenTelemetry-native platform, you can add unlimited fields and unlimited users at no extra cost, with no vendor lock-in.
This profile connects the jobs Honeycomb is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Common use cases
LLM and AI Agent Observability
Distributed tracing across multi-agent conversations
Tracking token cost and latency per model
High-cardinality anomaly detection across billions of requests
Pro | Starting at $150/month | 50M events (up to 750M) and 250M time series data points (u
API
Not publicly listed
Source links
18 recorded
Source-backed
Verified facts
Updated September 13, 2026
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
Official website
HTTP 200 verified twice
First-party description
Honeycomb: AI-Ready Observability Platform
Source-supported facts
Observability platform built for AI-era software with distributed tracing, unified telemet · Used by engineering teams at Slack, Intercom, and Dropbox · Includes Heatmaps, BubbleUp, SLOs, and unlimited attributes with high-cardinality event-ba
Capability
Observability platform built for AI-era software with distributed tracing, unified telemetry, and LLM observability
Audience
Used by engineering teams at Slack, Intercom, and Dropbox
Capability
Includes Heatmaps, BubbleUp, SLOs, and unlimited attributes with high-cardinality event-based querying in real time
Capability
Agent Timeline traces multi-agent conversations end-to-end and tracks token cost and latency per model
Integration
OpenTelemetry-native platform with unlimited fields and unlimited users at no extra cost, no vendor lock-in
View 32 more verified facts
Pricing
Pro | Starting at $150/month | 50M events (up to 750M) and 250M time series data points (up to 3.75B)
Capability
Free tier includes 2 Triggers, Distributed Tracing, BubbleUp, and OpenTelemetry Support, up to 20M events and 100M time series data points
Capability
Enterprise tier starts with 300 Triggers and 100 SLOs and includes Service Map on top of all Pro features
Limitation
Events limited to 1MB in size with a maximum of 2000 columns/attributes; events over this size are rejected
Practical capabilities
What it helps with
8 documented areas
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Use case
LLM and AI Agent Observability
Use case
Distributed tracing across multi-agent conversations
Use case
Tracking token cost and latency per model
Use case
High-cardinality anomaly detection across billions of requests
Use case
CI/CD pipeline observability for safer deploys
Use case
Incident response and post-incident analysis
Use case
Log analytics and frontend observability
Use case
DevOps & Releases — observability in CI/CD pipelines for more frequent, safe deploys
Availability
Where it runs and where to get it
Source checked
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
Cost / license
Pro | Starting at $150/month | 50M events (up to 750M) and 250M time series data points (uOpenTelemetry is an open source project that is part of the Cloud Native Computing Foundat
Application types
AI-Ready Observability Platform (SaaS observability platform)Observability platform with AI and LLM observability capabilities
Origin
Honeycomb was built 10 years ago from first principles
Platforms
Amazon Web Services
Implementation details
Adoption notes
DeploymentEnterprise plans are annual subscriptions using Events Per Year (EPY), starting at a base · Private Cloud
LicenseOpenTelemetry is an open source project that is part of the Cloud Native Computing Foundat
Model supportNot disclosed by source
Data controlSOC 2 Type II certified and regularly undergoes independent penetration testing
Learning curveIntermediate
Primary use casesLLM and AI Agent Observability, Distributed tracing across multi-agent conversations, Tracking token cost and latency per model, High-cardinality anomaly detection across billions of requests, CI/CD pipeline observability for safer deploys, Incident response and post-incident analysis, Log analytics and frontend observability, DevOps & Releases — observability in CI/CD pipelines for more frequent, safe deploys
What to verify before adopting
Events limited to 1MB in size with a maximum of 2000 columns/attributes; events over this
Evolution and major updates
Honeycomb timeline
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Research in progress
Scheduled for research
Building a reliable release history.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Dated event Short explanation Original source
Citation ledger
Recorded sources
18 unique pages
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
1honeycomb.io 14 facts · 3 answers · 1 snapshot source · Official site
These tools share a workflow, capability or audience with Honeycomb. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Honeycomb Premium Support available to Enterprise customers only, with P1: 1 hour first response SLA and chat channels (Slack or MS Teams)
Deployment
Enterprise plans are annual subscriptions using Events Per Year (EPY), starting at a base allowance of 10 Billion EPY with additional capacity available
Mission
Bring observability to every software engineer
Capability
LLM Observability
Capability
AI Agent Observability
Capability
Distributed Tracing
Capability
Log Analytics
Capability
Frontend Observability
Deployment
Private Cloud
Integration
OpenTelemetry
Platform
Amazon Web Services
Capability
Industry-leading support for OpenTelemetry
Capability
Captures high-cardinality, high-dimensionality data using arbitrarily wide structured events as the foundation
Capability
Surfaces anomalies and patterns across billions of requests in seconds, even with high-granularity data
Integration
OpenTelemetry — Honeycomb actively supports and contributes to the project
Protocol
OpenTelemetry Protocol (OTLP) — vendor-agnostic protocol for transmitting trace, metric, and log data between applications, Collectors, and observability backends
Use case
DevOps & Releases — observability in CI/CD pipelines for more frequent, safe deploys
Engineering teams who care about the customer experience
Audit
Named a Leader in the Gartner Magic Quadrant for APM and Observability in 2023 (second year running)
Company
Honeycomb — described as 'Event Driven Debugging'
Social
https://x.com/honeycombio
Source-supported facts
OpenTelemetry-native platform with unlimited fields and users at no extra cost · Fast queries, unified telemetry, and LLM observability · Agent Timeline traces multi-agent LLM conversations and tracks token cost and latency per
Capability
Fast queries, unified telemetry, and LLM observability
Capability
OpenTelemetry-native platform with unlimited fields and unlimited users at no extra cost
Capability
Agent Timeline traces multi-agent LLM conversations and tracks token cost and latency per model
Capability
Heatmaps, BubbleUp, SLOs, and unlimited attributes included
Use case
Debugging non-deterministic AI workflows alongside distributed service tracing
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