HoneyHive pricing

About

HoneyHive is an AI observability and evaluation platform built for teams shipping LLM and agent applications. It captures distributed traces, runs automated and human evaluations, and provides dataset curation, annotation queues, and custom dashboards so engineering and ML teams can debug, monitor, and improve production AI systems. The platform is built on OpenTelemetry, with Python and TypeScript SDKs and automatic instrumentation for 50+ libraries including LangChain, LangGraph, AWS Strands, Google ADK, and the OpenAI Agents SDK.

HoneyHive serves both individual developers experimenting with AI applications and large enterprises running mission-critical agent systems. The company markets itself as “Trusted by Fortune 500 enterprises” and cites Commonwealth Bank of Australia (CBA) as a flagship customer, where HoneyHive powers observability and evaluation across AI agents serving 17M+ consumers. It is SOC-2 Type II, GDPR, and HIPAA compliant, with self-hosting and single-tenant SaaS deployment options for security-sensitive buyers.

HoneyHive launched publicly in late 2022, co-founded by CEO Mohak Sharma (previously a product manager at Templafy) and CTO Dhruv Singh (previously on Microsoft’s OpenAI Innovation team), who met as roommates at Columbia University. In April 2025 the company announced its general-availability launch alongside $7.4M in total funding — a $5.5M seed round led by Insight Partners plus a previously unannounced $1.9M pre-seed led by Zero Prime Ventures — citing a 50x increase in requests logged through the platform during 2024. Note that HoneyHive is venture-backed rather than a Y Combinator company.

Commercially, HoneyHive positions against other LLM observability and evaluation tools — peers in the observability and monitoring cluster — by offering a genuinely full-featured free tier and reserving custom limits, deployment flexibility, and enterprise governance for a sales-led Enterprise plan. ARR, valuation, and headcount are not disclosed on the pricing surface.

Pricing summary : free Developer tier plus a custom Enterprise quote

HoneyHive uses a freemium structure with two published tiers and usage metered in events:

1. Developer (Free): $0, no credit card required. Includes 10,000 events per month, up to 5 users, a single workspace, 30-day data retention, a cap of 1,000 requests per minute, and the full observability and evaluation suite.
2. Enterprise (Custom): Quote-only (“Let’s chat”), sold via a “Book a demo” motion. Adds custom usage limits, unlimited users and workspaces, custom roles/templates/usage reports, Enterprise SSO & SAML, dedicated support with SLA, and hybrid or self-hosted deployment. No public price is disclosed.

The core billing unit is the event — defined as a single trace span or metric-label combination sent to the API as OTLP or JSON, so total events = trace spans + metrics. The Developer tier’s 10K events/month and 1,000 requests/minute are the only published numeric limits; everything on Enterprise is “Custom.” HoneyHive also offers startup discounts to companies that have raised under $5M in total funding.

What makes this different: HoneyHive ships the entire observability and evaluation feature set on its free tier and gates only on capacity (events, retention, users) and enterprise governance rather than locking core features behind a paid plan — a freemium wedge built on an event-metered usage unit. Notably, HoneyHive tested and abandoned a self-serve paid tier in late 2024 (detailed under Pricing evolution), leaving no published price between Free and Enterprise today.

Pricing by product

HoneyHive platform (published plans)

Published usage limits (Developer vs Enterprise)

The Observability feature row on the pricing page shows distributed tracing, alerts & drift detection, custom dashboards, dataset curation, annotation queues, and data export all checked for both Developer and Enterprise — these capabilities are not gated by tier. The Evals, Prompt Studio, Workspace, Security, and Support comparison sections were collapsed in the captured state; their per-tier feature splits are not transcribed here.

Sales motions across products: self-serve / PLG for the free Developer tier; sales-led (quote-only) for Enterprise.

Hidden costs : what scaling past the free event cap costs

HoneyHive does not publish a per-event overage rate or any paid-tier list price: the Developer plan is free up to 10,000 events/month and everything beyond it (more events, longer retention, higher request limits) is negotiated under a custom Enterprise quote. The “hidden cost” here is not an overage line item — it is the discontinuity between a free tier and a sales-led quote. Because HoneyHive removed its $99/month Team plan in late 2024, there is no self-serve step between $0 and “Let’s chat,” so the practical cost question is: when does a team blow past the free caps, and what does that trigger?

The only hard public numbers are the Developer caps. The table below frames how quickly an active agent project can exhaust them — these are the limits, not dollar amounts (no public unit price exists to multiply against).

A small team instrumenting a production agent with OpenTelemetry: each user-facing request typically fans out into multiple trace spans (LLM call, tool calls, retrieval, guardrails) plus metric labels. At ~5 spans + metrics per request, the free tier behaves like this:

The lesson: HoneyHive’s free tier is generous on features but tight on volume for anything past a prototype. A genuinely production agent serving real traffic will cross the 10K-event line quickly, and the only documented path beyond it is a sales conversation — so the cost to model is the Enterprise quote, not a metered overage. Teams should forecast expected event volume (trace spans + metrics) and engage sales before they hit the cap rather than after.

Want to estimate your own HoneyHive bill? Use the HoneyHive pricing calculator to model your monthly event volume (trace spans plus metrics) against the free-tier cap and decide when to request an Enterprise quote.

Pricing evolution : how the two-tier event model took shape

HoneyHive’s pricing has stayed two-tier in shape (a free plan plus a quote-only Enterprise plan) at both ends of the tracked range, but the middle of 2024 was unusually active: the billing meter was rebuilt, a paid self-serve tier was added, and that tier was then removed within a quarter.

Cadence

Tracked range: 2024-01–2026-04 (Wayback). Quarters not listed were verified stable (0 price changes, 0 SKU additions). HoneyHive launched in 2022 but its earliest pricing surfaces are not independently archived.

Notable changes

• 2024-06 — Billing meter switched from “user sessions” to “events” (10,000 events/month), and the free tier was renamed from “Free” to “Developer”.
• 2024-09 — Added a paid self-serve “Team” plan at “Starting $99/month” (“Perfect for small teams”; 50K+ events, data exports, unlimited users, email support).
• 2024-12 — Removed the “$99/month” Team plan, collapsing back to a free Developer plan plus a quote-only Enterprise plan.
• 2025-03 — Published a detailed Developer-vs-Enterprise feature matrix across seven categories (Usage Limits, Observability, Evaluation, Prompt Studio, Workspace, Security, Support).
• 2025-04-08 — Announced general availability and $7.4M total funding ($5.5M seed led by Insight Partners; $1.9M pre-seed led by Zero Prime Ventures).
• 2025-07 — Raised the free Developer tier’s user cap from 2 to 5 and added “unlimited indexed metrics”.

The $99 Team plan reversal in detail

For roughly one quarter in late 2024, HoneyHive ran a three-tier page with a self-serve paid step: a “Team” plan badged “Popular” at “Starting $99 / month,” targeted at “small teams,” offering 50K+ events per month, data exports, unlimited users, and email support, with a “Talk to founders” CTA. By the December 2024 snapshot that tier was gone and the page had reverted to a free Developer plan plus a quote-only Enterprise plan. The walk-back was quiet — there is no announcement, apology, or community thread attached to it (the change is visible only in the Wayback record), so it reads as a deliberate packaging decision rather than a trust event: HoneyHive concluded that a low-priced self-serve tier was not the right wedge for a tool whose value (mission-critical agent observability) lands with enterprise buyers, and chose a sharper free-plus-Enterprise barbell instead.

What’s unique : a full-featured free tier metered in events

1. The full product ships free; only capacity is gated. Unlike many observability tools that lock dashboards, exports, or evaluators behind a paid plan, HoneyHive’s pricing matrix shows distributed tracing, custom dashboards, dataset curation, annotation queues, data export, online and offline evaluation, and the prompt studio all checked for the free Developer tier. What you give up on Free is volume (10K events/month, 30-day retention, 5 seats) and enterprise governance (SSO/SAML, RBAC, self-hosting) — not features. That makes the free tier a real product-led wedge rather than a crippled trial.

2. The billing unit is an OpenTelemetry “event,” not a seat or a trace. HoneyHive meters in events, where one event = one trace span or one metric-label combination sent via OTLP/JSON, so total events = trace spans + metrics. Because instrumentation is built on OpenTelemetry, the meter maps one-to-one onto what the SDK already emits — a cleaner alignment than per-seat pricing (which ignores volume) or per-trace pricing (which hides how deep each trace fans out). This is the same event/span-metered logic that several observability peers use.

3. A deliberately empty middle — barbell packaging. HoneyHive tried a self-serve $99/month tier and pulled it, leaving a stark free-then-quote structure with nothing in between. This is a bet that the buyers who outgrow the free tier are enterprises who need custom limits, self-hosting, and SLAs anyway — and that a cheap self-serve tier would have anchored the product low and added support load without unlocking the deals that matter (the CBA-style Fortune 500 references the page now leads with).

Strengths & weaknesses

Billing UX : events metering, usage limits, and deployment controls

• Event metering — usage is counted in events, where one event = one trace span or one metric-label combination sent to the API as OTLP or JSON (total events = trace spans + metrics); the Developer tier caps this at 10,000 events/month.
• Usage-limits table — the pricing page exposes a “Usage Limits” comparison (events/month, data retention, max requests/minute) showing 10,000 / 30 days / 1,000 RPM on Developer versus “Custom” on Enterprise.
• Requests-per-minute cap — Developer is throttled at 1,000 requests per minute; Enterprise raises this to a custom limit.
• Data-retention window — Developer retains data for 30 days; Enterprise retention is custom.
• Workspace and seat controls — Developer allows a single workspace and up to 5 users; Enterprise unlocks unlimited users and workspaces plus custom roles, templates, and usage reports.
• Deployment / hosting controls — Enterprise offers fully self-hosted (control plane + data plane) or hybrid SaaS (HoneyHive-managed control plane + self-hosted data plane) deployment across major cloud providers.
• Startup discount — companies that have raised under $5M of total funding can contact HoneyHive for a startup discount.

Strategic wins : where the freemium packaging pays off

1. Full-featured free tier as a developer acquisition wedge

Shipping the complete observability and evaluation suite on the free Developer plan — and gating only on volume and governance — turns the free tier into a genuine product-led growth motion rather than a sales gate. Developers can instrument a real agent, see traces and run evals end-to-end, and only hit a wall on capacity once the project becomes production-scale. This is the classic free-tier-as-a-wedge play seen across usage-based AI SaaS, and it works precisely because nothing core is withheld. See our usage-based pricing fundamentals for why feature-complete free tiers convert better in developer tools.

2. Event-based metering aligned to OpenTelemetry

Choosing “one event = one span or metric” as the meter means the billing unit is something the SDK already produces, so customers can reason about (and instrument toward) their own usage. It avoids the misalignment of per-seat pricing — where a 3-person team running a high-traffic agent pays the same as a 3-person team running a toy — and the opacity of per-trace pricing, which hides how deeply each trace fans out. For more on picking a meter that tracks delivered value, see our guide to choosing the right usage metric and the value-metric problem in AI pricing.

3. Barbell packaging that protects enterprise deal economics

By removing the $99 self-serve tier and committing to free-plus-Enterprise, HoneyHive avoids anchoring its price low for a product whose real value lands with security-sensitive enterprises (CBA serving 17M+ consumers is the headline reference). Self-hosting, hybrid SaaS, SSO/SAML, RBAC, and SLAs are exactly the things those buyers need and exactly what’s reserved for the quote — so the packaging routes serious volume into a sales conversation instead of a $99 credit card. This mirrors the land-with-free, expand-with-enterprise motion common when teams migrate SaaS pricing toward usage.

Areas to improve : pricing transparency gaps to close

1. No published paid-tier or per-event rate

The gap between a free tier and a quote-only Enterprise plan leaves mid-volume teams — those who outgrow 10K events but aren’t ready for a sales-led contract — with no self-serve upgrade path or public unit price. HoneyHive already proved it can run a self-serve tier (the late-2024 $99 Team plan), so the capability exists. Proposed fix: publish a metered per-event overage rate above the free cap, or reintroduce a transparent mid-market plan, so growth doesn’t require a sales call. Our prepaid-credits guide shows one way to expose volume pricing without a full rate card.

2. Hard 30-day retention on the free tier

The free Developer tier retains data for only 30 days, which is short for teams that need longer historical evaluation baselines to detect drift or compare model versions before they can justify an Enterprise quote. Proposed fix: offer a longer retention window (or a one-time export of older traces) on the free tier, or expose retention as a cheap standalone add-on, so retention isn’t a forced trigger into a sales conversation. See thresholding and alerting for how retention windows interact with usage limits.

3. Opaque event-to-cost mapping

Because “events” combine trace spans and metrics, prospective buyers cannot easily forecast spend without first modeling how deeply their instrumentation fans out per request. Proposed fix: publish an interactive estimator (requests × average spans/metrics per request → monthly events) on the pricing page, so a buyer can self-qualify against the 10K free cap and arrive at the Enterprise conversation with a volume estimate already in hand — reducing quote friction on both sides.

Key takeaways

1. Give the whole product away, gate on volume. HoneyHive’s free tier withholds capacity (events, retention, seats) and enterprise governance, not features. For developer tools, a feature-complete free tier is a stronger acquisition wedge than a crippled trial, because the buyer can prove value on real workloads before they pay.
2. Pick a meter the customer’s SDK already emits. Metering in OpenTelemetry “events” (spans + metrics) means the billing unit is something instrumentation produces automatically, which makes usage legible and the meter defensible. A meter the customer can’t see or predict creates quote friction.
3. It’s okay to kill a tier you launched. HoneyHive shipped a $99 self-serve plan and removed it within a quarter with no fanfare. Packaging is an experiment; quietly retiring a tier that doesn’t fit the buyer is a legitimate move, not a failure — as long as it isn’t a price hike on existing customers.
4. A “barbell” can beat a smooth ladder. Free-then-Enterprise concentrates effort on the two segments that matter (self-serve developers and enterprise buyers) and avoids a low self-serve anchor that adds support load without unlocking large deals. The empty middle is a choice, not an oversight.
5. Lead with proof, not price, when value is enterprise-grade. Once HoneyHive’s value proposition became “mission-critical agent observability,” the pricing page foregrounded Fortune 500 / CBA references over numbers. When the buyer is risk-driven, trust signals carry more weight than a published rate.

UBP implications

1. The meter should ride on the instrumentation standard, not invent its own. As OpenTelemetry becomes the default for AI/agent observability, metering in spans-plus-metrics (“events”) lets the price scale with telemetry the customer already generates. UBP works best when the value metric is something the buyer can observe and forecast from their own stack.
2. Usage-based doesn’t require self-serve overage to be usage-based. HoneyHive is metered (events) yet routes overflow into a sales-led quote rather than an automatic per-unit charge. For high-touch, high-stakes products, a metered free tier plus quoted Enterprise can be a more honest fit than forcing a public per-unit rate the buyer can’t reason about.
3. Free-tier capacity limits are the real conversion lever in PLG usage pricing. With features ungated, the only thing that moves a developer toward a paid conversation is hitting an event, retention, or seat cap. Where you set those caps — and how cleanly you let buyers forecast against them — is the central UBP design decision, not the headline price.

Sources

• HoneyHive pricing page (accessed 2026-06-04)
• HoneyHive blog (accessed 2026-06-04)
• HoneyHive funding announcement — “HoneyHive raises $7.4M” (accessed 2026-06-04)
• HoneyHive observability product page (accessed 2026-06-04)

Bottom line

HoneyHive’s pricing tells a clear story: ship the entire observability and evaluation product for free, meter it in OpenTelemetry events, gate on capacity and governance, and route everyone who matters into either a self-serve free plan or a sales-led Enterprise quote. The brief 2024 experiment with a $99 self-serve tier — launched and then quietly removed within a quarter — is the tell: HoneyHive decided its value lands with enterprises who need self-hosting, SSO, and SLAs, not with a low-priced credit-card plan. The result is a sharp barbell that maximises developer adoption at the bottom and deal economics at the top, at the cost of leaving mid-volume teams without a published upgrade path.

Want to compare HoneyHive against other AI observability and evaluation pricing? Browse the pricing blueprint.

Pricing timeline : Major events on a vertical axis

Each milestone below corresponds to a public pricing change, product launch, or material adjustment. Major events use a filled marker; minor adjustments use a faded one.

Current state: free Developer + custom Enterprise

Jun 2026

HoneyHive lists a free Developer plan (10K events/month, up to 5 users, single workspace, 30d retention, 1,000 requests/minute) and a quote-only Enterprise plan with custom usage limits, unlimited users and workspaces, Enterprise SSO & SAML, dedicated support and SLA, and hybrid or self-hosted deployment. Page is badged 'Trusted by Fortune 500 enterprises' citing CBA.

Developer free-tier user cap raised from 2 to 5

Jul 2025

The Developer free plan now lists 'Up to 5 users' (previously up to 2) and 'Unlimited indexed metrics', with 10K events/month and 30d retention. Two-tier Developer/Enterprise structure otherwise unchanged.

GA launch + $7.4M total funding (Insight Partners-led seed)

Apr 2025

HoneyHive announces general availability alongside $7.4M total funding: a $5.5M seed led by Insight Partners plus a previously unannounced $1.9M pre-seed led by Zero Prime Ventures. Company cites 50x growth in requests logged during 2024.

Full feature-comparison matrix published

Mar 2025

The page adds a detailed Developer-vs-Enterprise matrix across Usage Limits, Observability, Evaluation, Prompt Studio, Workspace, Security, and Support. Developer caps: 10K events/month, 20K online evaluations/month, 30d log retention, 5MB max event, 1,000 requests/minute, up to 2 users / up to 5 projects.

Team $99/month plan removed; back to Free + Enterprise

Dec 2024

The self-serve $99/month Team plan is deleted and the page collapses back to two tiers (Developer Free with 90d log retention, up to 2 users / Enterprise 'Let's chat'). Headline changes to 'Get started for free' with 'only pay when you scale your app.'

Paid self-serve 'Team' plan added at 'Starting $99/month'

Sep 2024

A three-tier structure appears: Developer (Free, 10k events, 365d log retention, up to 2 users), a 'Popular' Team plan at 'Starting $99 / month' ('Perfect for small teams' — 50k+ events/month, data exports, unlimited users, email support, 'Talk to founders'), and a 'Contact us' Enterprise plan.

Meter switches from sessions to events; Free renamed Developer

Jun 2024

The free tier is rebuilt: the meter changes from 'user sessions' to '10,000 events per month' and the tier is renamed 'Developer' (1 workspace member). Enterprise stays quote-only and gains 'VPC Hosting Add-On'. This aligns the billing unit with OpenTelemetry spans.

Free + Enterprise, metered in user sessions

Feb 2024

Wayback shows a two-tier page (headline 'Simple pricing, built to scale with your needs'): a free Developer/Free plan metered in 'user sessions' (the Feb 2024 snapshot lists 'Up to 1,000 user sessions per month', 1 user seat, 30d retention) and a 'Most Popular' Enterprise 'Let's chat' plan. The Jan 2024 snapshot listed up to 10,000 user sessions and 2 users, so free-tier session caps were in flux.

HoneyHive launches as an LLM dev/eval platform

Oct 2022

HoneyHive launches publicly, co-founded by CEO Mohak Sharma and CTO Dhruv Singh (Columbia roommates), as a platform to take LLM prototypes to production. Pricing not independently archived at launch.