# HubSpot Breeze AI & Agent Hub vs Labelbox

HubSpot Breeze AI & Agent Hub records 44,099,502 monthly visits with -3.1% month-over-month growth and Freemium pricing. Labelbox records 762,803 monthly visits with -22.8% growth and Contact for Pricing pricing.

| Metric | [HubSpot Breeze AI & Agent Hub](https://openaitools.app/tool/hubspot-com) | [Labelbox](https://openaitools.app/tool/labelbox) |
| :--- | :--- | :--- |
| Website URL | https://www.hubspot.com/products/artificial-intelligence | https://labelbox.com |
| Categories | AI CRM, AI Agent, AI Marketing | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 44,099,502 | 762,803 |
| MoM Growth Rate | -3.1% | -22.8% |
| Primary Market | United States | United States |
| Direct Visits | 31,584,364 | 370,024 |
| Review Score | 4.5 | 4.4 |
| Saved Count | 24 | 0 |
| Supported Platforms | Website | Website |

## HubSpot Breeze AI & Agent Hub

HubSpot's artificial intelligence ecosystem—branded across the platform as Breeze AI and managed centrally through Agent Hub—embeds autonomous go-to-market agents directly into the HubSpot Smart CRM. Because every agent operates natively on live contact records, deal timelines, call transcripts, and support tickets, teams can deploy AI across marketing, sales, and service without complex data pipelines or external middleware.

In 2026, Agent Hub serves as the command center for monitoring prefabricated and custom AI teammates. Its specialized roster includes the Customer Agent (which autonomously resolves over 65% of support inquiries across chat, email, and beta voice calling), the Prospecting Agent (which monitors buyer intent signals and drafts personalized outreach), the Content and Campaign Agents (which turn a single marketing goal into multi-channel blog posts, landing pages, and nurture sequences), the Data Agent (which answers custom research questions across CRM records and documents), and the Revenue Agent for automated invoice follow-ups.

Teams that need bespoke workflows can use the no-code Agent Builder canvas to assemble custom agents grounded in proprietary prompts, knowledge bases, and third-party app integrations, accessible anywhere via Breeze Assistant. HubSpot also introduced Answer Engine Optimization (AEO) tools to track brand visibility inside AI search engines, alongside an outcome-based credit model announced in April 2026 that charges $0.50 only when the Customer Agent successfully resolves an inquiry.

**Pricing & Plans:** Breeze Assistant and foundational AI writing tools are included on Free and Starter ($15/seat/month with 500 HubSpot Credits); autonomous agents in Agent Hub require Professional ($800+/month, 3,000 monthly credits included) or Enterprise ($3,600+/month, 5,000 credits included), where Customer Agent costs 50 credits ($0.50) per resolved conversation, Prospecting Agent costs 100 credits ($1.00) per recommended lead, and extra credits cost $10 per 1,000 ($9/1,000 billed annually).

- **Centralized Agent Hub & No-Code Agent Builder:** Monitor live status and ROI across your entire AI workforce in one dashboard, or build custom CRM-grounded agents on a visual no-code canvas.
- **Outcome-Billed Breeze Customer Agent:** Resolve repetitive support tickets 24/7 across web chat, email, forms, and voice using live contact and contract history, billed at 50 credits ($0.50) only upon verified resolution.
- **Autonomous Prospecting & Smart Deal Progression:** Watch target accounts for buying signals, trigger personalized outreach automatically, and generate post-call CRM updates and next-step recommendations.
- **Campaign, Content & Nurture Marketing Agents:** Plan multi-channel campaigns from a single goal in one session, generate brand-voice blog posts and landing pages, and tailor lifecycle nurture emails per contact.
- **Data Agent & Answer Engine Optimization (AEO):** Query CRM records, call transcripts, and PDFs 10x faster with the Data Agent while tracking how AI answer engines cite and rank your brand via HubSpot AEO.

**Strengths:** Zero data integration friction—agents read and write directly to HubSpot Smart CRM contacts, deals, calls, and tickets from day one.; Fair April 2026 shift to outcome-based pricing ($0.50 per resolved conversation) makes the Customer Agent one of the lowest per-resolution rates in the market.; Included credit pools on Starter (500), Professional (3,000), and Enterprise (5,000) let teams test AI agents before buying extra credit packs.; Strong enterprise governance with SOC 2 Type II compliance, published AI model cards, and strict zero-training policies with external LLM vendors.

**Limitations:** Autonomous agents like the Customer Agent require expensive Professional ($800+/mo) or Enterprise ($3,600+/mo) base subscriptions plus mandatory onboarding fees.; All Breeze AI agents and data enrichment features draw from a single shared HubSpot Credits pool, making multi-agent budgeting tricky to predict.; Customer Agent voice calling remains in beta and is metered separately at $0.50 per minute.

[Profile (Markdown)](https://openaitools.app/tool/hubspot-com.md)

## Labelbox

Labelbox occupies an unusual position in the AI stack: it does not primarily sell a chatbot or a generator, it builds the environments and data that models learn from plus the agents that take over recurring engineering and research work. The homepage claim is direct — frontier AI labs train on Labelbox environments and expert data, while engineering and research teams hand their recurring backlog to agents running on Recursion. A recent Series E of more than $100 million signals a heavily funded bet on that thesis.,For enterprises, the newer half of the product is Recursion. Agents are triggered by real signals — a failing build, a PagerDuty alert, a new dependency release, a fresh model checkpoint, or a Monday morning schedule — and then work in the background until the job is done. The examples the company promotes are concrete deliverables rather than summaries: a tested pull request with a preview link, a postmortem draft in Confluence with every event sourced, an ablation table naming the changes that mattered, or a patch for each exposed service after a critical CVE. A grader agent scores each run, and the graded session leaves behind memories, notes and skills that the next session reads before it acts.,The original foundation remains the data business: labeling, annotation, curation and model evaluation supported by expert human reviewers, used for computer vision, NLP, supervised fine-tuning, RLHF and red teaming. In practice the two halves reinforce each other, since the environments that produce high-quality training data are the same environments where agents learn to do real work. Pricing is enterprise-style, routed through sales conversations and shaped by data volume and agent usage, with no public self-serve tier.

**Pricing & Plans:** Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

- **Data labeling and expert annotation:** Structured annotation, curation, model evaluation and human-in-the-loop review across vision, language and generative tasks, used to build the training and eval data behind production models.
- **Autonomous agent sessions:** Recursion agents start on their own from builds, alerts, commits, checkpoints and schedules, then work in the background until the task is finished and reviewable.
- **Domain specialists by function:** Specialist agents cover software engineering, reliability, security, ML research, evals, R&D, product and finance workflows, from flaky test fixes to postmortem drafts and vulnerability patches.
- **Graded outcomes that compound:** Every agent run is scored by a grader, and graded sessions leave memories, notes and skills that the next session reads before acting, so quality compounds over time.
- **Native tool and data integrations:** Agents operate against the tools teams already use, including GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery, Databricks, Vercel and cloud providers.

**Strengths:** Covers both sides of the problem: training and eval data production plus agents that act on recurring work; Backed by a recent $100M+ Series E and adoption by frontier AI labs, indicating real funding and demand; Agent runs produce concrete deliverables with proof — tests, reruns, ablations — rather than unverified suggestions; Integrates with the toolchain teams already run: GitHub, Jira, Linear, Slack, Datadog, PagerDuty, BigQuery and Databricks

**Limitations:** No self-serve pricing or open signup: everything routes through a sales conversation, which slows down evaluation; The platform assumes real engineering and research infrastructure (GitHub, cloud providers, data warehouses) to deliver value; Positioning has shifted quickly toward autonomous agent sessions, so teams wanting only labeling workflows may find it heavier than needed

[Profile (Markdown)](https://openaitools.app/tool/labelbox.md)

## Frequently Asked Questions

### How do HubSpot Breeze AI & Agent Hub and Labelbox compare in monthly traffic?

HubSpot Breeze AI & Agent Hub has 44,099,502 monthly visits, while Labelbox has 762,803. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

HubSpot Breeze AI & Agent Hub has a month-over-month growth rate of -3.1%; Labelbox has -22.8%.

### How does pricing compare?

HubSpot Breeze AI & Agent Hub: Freemium. Breeze Assistant and foundational AI writing tools are included on Free and Starter ($15/seat/month with 500 HubSpot Credits); autonomous agents in Agent Hub require Professional ($800+/month, 3,000 monthly credits included) or Enterprise ($3,600+/month, 5,000 credits included), where Customer Agent costs 50 credits ($0.50) per resolved conversation, Prospecting Agent costs 100 credits ($1.00) per recommended lead, and extra credits cost $10 per 1,000 ($9/1,000 billed annually). Labelbox: Contact for Pricing. Contact for pricing. Labelbox does not publish self-serve plans or public rate cards; its pricing route instead directs interested teams to talk to sales, and cost is shaped by data production scope, agent deployment and enterprise requirements. There is no published free tier. Prospective customers should request a quote based on their volumes and use cases.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Deep enterprise-grade AI agents and CRM automation, but significantly more complex and expensive to configure than HubSpot. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 2 | [Klaviyo](https://openaitools.app/tool/klaviyo) | 6,674,207 | +6.1% | Paid | Industry-leading autonomous B2C marketing automation and CRM, but less suited for complex B2B sales pipelines than HubSpot. | [.md](https://openaitools.app/tool/klaviyo.md) |
| 3 | [Brevo](https://openaitools.app/tool/brevo) | 6,527,382 | +5.8% | Freemium | Cost-effective all-in-one customer engagement and CRM platform, but offers less advanced AI agent capabilities than HubSpot Breeze. | [.md](https://openaitools.app/tool/brevo.md) |
| 4 | [Instantly](https://openaitools.app/tool/instantly) | 2,336,279 | +6% | Paid, Contact for Pricing | Sales engagement platform with AI agents for lead finding, outreach and deliverability | [.md](https://openaitools.app/tool/instantly.md) |
| 5 | [Attio](https://openaitools.app/tool/attio) | 1,652,928 | -4.2% | Free Trial, Contact for Pricing | Modern, highly customizable CRM data structures and native AI workflows, but lacks HubSpot's massive pre-built app ecosystem. | [.md](https://openaitools.app/tool/attio.md) |
| 6 | [Roboflow](https://openaitools.app/tool/roboflow) | 1,431,204 | +6.6% | Freemium, Contact for Pricing | Streamlines end-to-end computer vision workflows from annotation to model deployment, but lacks Labelbox's general enterprise agent orchestration. | [.md](https://openaitools.app/tool/roboflow.md) |
| 7 | [Crisp](https://openaitools.app/tool/crisp-chat) | 1,408,646 | +1.5% | Free Trial, Paid, Contact for Pricing, Free | AI-first customer support platform with a shared inbox built in | [.md](https://openaitools.app/tool/crisp-chat.md) |
| 8 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Exceptional go-to-market data orchestration and enrichment for prospecting, but not a complete traditional CRM suite like HubSpot. | [.md](https://openaitools.app/tool/clay-2-0.md) |
| 9 | [Outreach](https://openaitools.app/tool/outreach) | 958,599 | +0.4% | Contact for Pricing | Advanced agentic revenue platform for sales execution and forecasting, but less focused on inbound marketing and customer support. | [.md](https://openaitools.app/tool/outreach.md) |
| 10 | [Appen](https://openaitools.app/tool/appen-com) | 665,840 | +0.2% | Contact for Pricing | Relies heavily on managed human-in-the-loop workforce services for data validation, offering less self-serve technical tooling than Labelbox. | [.md](https://openaitools.app/tool/appen-com.md) |

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Source: https://openaitools.app/compare/hubspot-com-vs-labelbox

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