# Labelbox vs Skillboss

Labelbox records 762,803 monthly visits with -22.8% month-over-month growth and Contact for Pricing pricing. Skillboss records 19,705 monthly visits with +9.2% growth and Freemium, Paid pricing.

| Metric | [Labelbox](https://openaitools.app/tool/labelbox) | [Skillboss](https://openaitools.app/tool/skillboss) |
| :--- | :--- | :--- |
| Website URL | https://labelbox.com | https://agentsky.dev |
| Categories | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools | AI API, AI Agent, AI Developer Tools, AI Web Scraping |
| Pricing Model | Contact for Pricing | Freemium, Paid |
| Monthly Visits | 762,803 | 19,705 |
| MoM Growth Rate | -22.8% | +9.2% |
| Primary Market | United States | United States |
| Direct Visits | 370,024 | 7,804 |
| Review Score | 4.4 | 4.2 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## 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)

## Skillboss

Skillboss is a unified API and agent platform that has rebranded and now runs as AgentSky. Rather than juggling separate accounts for Claude Code, Codex and other assistants, you can give a single plain-language goal and let a team of agents split the work, check each other's output and report back. The platform supports any agent, any model, any plugin and any chat channel, which is the core promise behind the 'one key, every agent' positioning.

In practice there are three ways in. In the cloud, agents run in the browser with nothing to install, and their machines suspend when idle so you are not billed for waiting. On macOS, the desktop app runs Claude Code and Codex locally on your own Claude or ChatGPT plan, and moves a chat to the cloud automatically when your Mac goes to sleep — a feature the product describes as closing the lid while agents keep going. For developers, an OpenAI-compatible API endpoint plus a single key lets Cursor, Cline, Copilot and other editors route work through the platform.

Pricing is metered rather than seat based: agents are free, cloud compute runs about $0.461 per awake hour billed per second, model usage follows published per-token rates, and the first 1 GiB of workspace storage is free. Prepaid credits start at $10, with Stripe fees passed through and no markup kept by the platform on top-ups.

**Pricing & Plans:** Pay-as-you-go, no seats. Prepaid credits from $10. Cloud compute is about $0.461 per awake hour billed per second ($0 while parked), model tokens bill at published rates, storage is free to 1 GiB then $0.04/GiB-month. Running Claude Code or Codex on your Mac via your own Claude/ChatGPT plan costs $0 model usage.

- **Multi-agent workspace:** Run Claude Code, Codex, Hermes and 20+ other agent types side by side, each with its own model, tools and conversation thread.
- **Any model from a single API key:** Choose from roughly 120 models across 43 makers including Anthropic, OpenAI, Gemini, DeepSeek, Kimi and MiniMax, all billed through one account.
- **700+ plugins and connectors:** Give agents GitHub, Gmail, Slack, Notion, Linear, Figma, HubSpot, Jira and Shopify access through 700+ plugins, tools and MCP-style connectors.
- **Chat-app and macOS control:** Message your agents from iMessage, Telegram, Lark, Slack, Discord or WhatsApp, and approve actions from your phone before they run.
- **Pay-as-you-go pricing:** Cloud compute bills per second while an agent is awake and costs nothing while parked, and you can bring your own Claude or ChatGPT plan for $0 model usage.

**Strengths:** One API key and account replace many separate provider setups; Agents can be reached from the chat apps a team already uses; Bring-your-own Claude or ChatGPT plan drops model costs to zero on eligible models; Parked agents cost nothing, so long-lived workspaces stay cheap

**Limitations:** Prepaid credit model means you must estimate consumption up front; Token and compute bills can climb quickly on long-running autonomous tasks; Mac app path requires linking your own Claude, ChatGPT or Cursor subscription; Support and legal details depend on the rebranded AgentSky site

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

## Frequently Asked Questions

### How do Labelbox and Skillboss compare in monthly traffic?

Labelbox has 762,803 monthly visits, while Skillboss has 19,705. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Labelbox has a month-over-month growth rate of -22.8%; Skillboss has +9.2%.

### How does pricing compare?

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. Skillboss: Freemium, Paid. Pay-as-you-go, no seats. Prepaid credits from $10. Cloud compute is about $0.461 per awake hour billed per second ($0 while parked), model tokens bill at published rates, storage is free to 1 GiB then $0.04/GiB-month. Running Claude Code or Codex on your Mac via your own Claude/ChatGPT plan costs $0 model usage.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 2 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Run thousands of ready-made web scrapers and AI agents from one cloud platform | [.md](https://openaitools.app/tool/apify.md) |
| 3 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | An all-in-one AI super assistant for professionals and enterprises | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 5 | [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) |
| 6 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |
| 7 | [MiniMax Agent](https://openaitools.app/tool/minimax-agent) | 679,573 | +2.8% | Freemium | An AI supercompanion that handles tasks, code and creative work end to end | [.md](https://openaitools.app/tool/minimax-agent.md) |
| 8 | [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) |
| 9 | [Scale](https://openaitools.app/tool/scale) | 616,915 | +12.5% | Contact for Pricing | Delivers enterprise-grade labeling and model evaluation at massive scale, but often requires higher enterprise budgets than Labelbox. | [.md](https://openaitools.app/tool/scale.md) |
| 10 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Offers robust multimodal annotation and workflow automation, featuring slightly more intuitive data curation pipelines for computer vision teams. | [.md](https://openaitools.app/tool/super-annotate.md) |

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Source: https://openaitools.app/compare/labelbox-vs-skillboss

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