# Beagle Security vs Labelbox

Beagle Security records 38,309 monthly visits with -35.8% month-over-month growth and Freemium, Free Trial, Paid, Contact for Pricing pricing. Labelbox records 762,803 monthly visits with -22.8% growth and Contact for Pricing pricing.

| Metric | [Beagle Security](https://openaitools.app/tool/beagle-security) | [Labelbox](https://openaitools.app/tool/labelbox) |
| :--- | :--- | :--- |
| Website URL | https://beaglesecurity.com | https://labelbox.com |
| Categories | AI Testing, AI API, AI Detector, AI Developer Tools | AI Developer Tools, AI API, AI Workflow, AI Productivity Tools |
| Pricing Model | Freemium, Free Trial, Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 38,309 | 762,803 |
| MoM Growth Rate | -35.8% | -22.8% |
| Primary Market | India | United States |
| Direct Visits | 8,395 | 370,024 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Beagle Security

Beagle Security positions itself against two familiar alternatives: external penetration testing agencies that take two to three weeks and cost roughly $10,000 per test, and raw vulnerability scanners that flood teams with unstructured, context-free alerts full of false positives. The platform's answer is an agentic AI engine trained on more than 350,000 penetration test workflows, which configures and runs multi-stage attacks automatically and reports only what a human tester would flag.

Coverage spans classic web application testing, REST API testing and GraphQL security testing, with OWASP Top 10 and CWE Top 25 checks included from the entry plan. Tests can run authenticated, on a schedule, and against a defined scope; business logic that an automated crawler cannot infer can be taught by recording a real browsing session, so the AI learns how your application actually behaves. Findings are scored with CVSS and OWASP risk ratings and paired with LLM-generated contextual reports written at a level developers can act on.

Delivery is built for DevSecOps rather than one-off audits. Beagle Security integrates with Jira, Azure Boards, Slack, Teams, Postman, Zapier and CI/CD pipelines, so a test can be triggered when a feature is marked ready to ship and results pushed as tickets with fix instructions. Compliance reports for HIPAA and PCI DSS, SSO and a dedicated CSM are available on higher tiers, and the company states it is ISO 27001 certified and serves 1,800+ development and security teams.

**Pricing & Plans:** Free trial of 14 days with Advanced plan features and one full pentest, no credit card required. After trial, a free plan keeps 1 lite test per month plus SSL and domain expiry monitoring. Paid: Essential $99/month (2 tests/month, 1 concurrent, 5 users), Advanced $299/month (15 tests/month, 4 concurrent, 15 users, API and GraphQL testing, compliance reports), Enterprise custom. Add-ons on Advanced include extra tests at $30 and white-labelled reports at $49.

- **Agentic AI penetration testing:** An AI engine trained on 350,000+ pentest workflows runs multi-stage, human-like attack sequences across web apps, APIs and GraphQL services.
- **Business logic recording:** You teach the AI your application's unique flows by recording a real session, so tests navigate genuine business logic rather than only crawling links.
- **Contextual remediation reports:** Findings arrive scored with CVSS and OWASP ratings and explained down to tech-stack and code level, with step-by-step fix guidance rather than raw alert lists.
- **DevSecOps and ticketing integrations:** Push vulnerabilities into Jira, Azure Boards, Slack, Teams or Postman, or trigger tests from your CI/CD pipeline as features ship.
- **Compliance reporting:** Generate HIPAA and PCI DSS reports, share results securely and display a security badge or certificate to demonstrate testing to customers.

**Strengths:** Covers web apps, REST APIs and GraphQL in one platform; AI-learned business logic reduces the false positives that plague plain scanners; Reporting is specific enough to hand straight to developers as work items; Usage-based pricing charges per test, not per application, with no limit on targets

**Limitations:** Entry plan does not include API or GraphQL testing — those start at Advanced; No free tier beyond a single lite monthly test once the trial ends; Accuracy still benefits from human review for complex, stateful applications

[Profile (Markdown)](https://openaitools.app/tool/beagle-security.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 Beagle Security and Labelbox compare in monthly traffic?

Beagle Security has 38,309 monthly visits, while Labelbox has 762,803. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Beagle Security has a month-over-month growth rate of -35.8%; Labelbox has -22.8%.

### How does pricing compare?

Beagle Security: Freemium, Free Trial, Paid, Contact for Pricing. Free trial of 14 days with Advanced plan features and one full pentest, no credit card required. After trial, a free plan keeps 1 lite test per month plus SSL and domain expiry monitoring. Paid: Essential $99/month (2 tests/month, 1 concurrent, 5 users), Advanced $299/month (15 tests/month, 4 concurrent, 15 users, API and GraphQL testing, compliance reports), Enterprise custom. Add-ons on Advanced include extra tests at $30 and white-labelled reports at $49. 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 | [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) |
| 2 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.md](https://openaitools.app/tool/aikido-security.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [Weights & Biases (CoreWeave Forge)](https://openaitools.app/tool/prompts) | 315,624 | -80.2% | Freemium, Contact for Pricing, Free | Track, evaluate, and ship AI models and agents in one connected environment. | [.md](https://openaitools.app/tool/prompts.md) |
| 7 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in advanced computer vision and physical AI data pipelines, though with a narrower focus than general text-and-image labeling. | [.md](https://openaitools.app/tool/encord-com.md) |
| 8 | [ProjectDiscovery Neo](https://openaitools.app/tool/projectdiscovery-neo) | 158,530 | +22.5% | Paid, Contact for Pricing | AI security platform that finds exposures, proves they're exploitable, and ships the fix | [.md](https://openaitools.app/tool/projectdiscovery-neo.md) |
| 9 | [Katalon](https://openaitools.app/tool/katalon-studio) | 158,090 | -29.6% | Freemium, Free Trial, Paid, Contact for Pricing | AI-augmented quality platform for web, mobile, API and desktop testing | [.md](https://openaitools.app/tool/katalon-studio.md) |
| 10 | [Mindgard](https://openaitools.app/tool/mindgard) | 153,455 | +1.3% | Contact for Pricing | Attack-led AI security testing and red teaming | [.md](https://openaitools.app/tool/mindgard.md) |

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Source: https://openaitools.app/compare/beagle-security-vs-labelbox

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