# Agent 37 vs Roboflow

Agent 37 records 180,030 monthly visits with +24.2% month-over-month growth and Free Trial, Contact for Pricing pricing. Roboflow records 1,431,204 monthly visits with +6.6% growth and Freemium, Contact for Pricing pricing.

| Metric | [Agent 37](https://openaitools.app/tool/agent-37) | [Roboflow](https://openaitools.app/tool/roboflow) |
| :--- | :--- | :--- |
| Website URL | https://www.agent37.com | https://roboflow.com |
| Categories | AI Coaching, AI Agent, AI Developer Tools, Large Language Models (LLMs) | AI Developer Tools, AI API, AI Models, AI Workflow |
| Pricing Model | Free Trial, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 180,030 | 1,431,204 |
| MoM Growth Rate | +24.2% | +6.6% |
| Primary Market | Paraguay | United States |
| Direct Visits | 72,672 | 676,465 |
| Review Score | 4.3 | 4.6 |
| Saved Count | 0 | 4 |
| Supported Platforms | Website | Website |

## Agent 37

Agent 37 is a cloud infrastructure product aimed at people who need somewhere real for AI agents to run. Instead of a chat window, every customer gets a sandbox: an isolated Linux container with CPU, memory, persistent disk, an optional public HTTPS URL, and outbound network access. The company positions itself primarily on price, claiming its sandboxes cost roughly 94% less than most competing providers and publishing a comparison table against AWS, Daytona, E2B, Modal, Vercel, and others. Billing is prepaid and metered by the minute — vCPU, memory, and disk each have their own unit rate — with no subscription fee.

Beyond raw compute, Agent 37 ships a layer of agent-specific conveniences. You can start from a ready-made harness such as Claude Code, Codex, OpenClaw, OpenCode, or Hermes, or bring your own Docker image. Agents keep their files across sleep, stop and restart cycles, and can be given cron schedules so they run unattended and simply report results. Model access can come from the platform gateway (Claude, OpenAI, Gemini, Grok) or from your own API keys, and integrations cover services such as Gmail, Slack, Notion, and GitHub through a Composio-based connector catalog, plus metered access to paid tools like web scraping and people/company data.

Security is a major part of the pitch: sandboxes are isolated with gVisor, hosts have no public hostname, ingress goes through Cloudflare with API-key authentication, and outbound traffic is restricted to the public internet. The company states it does not collect prompts, files, or terminal sessions, holds SOC 2 Type I, and is working toward Type II. It also offers startup credits and a free personal agent tier for individuals who just want an agent of their own.

**Pricing & Plans:** Prepaid, pay-as-you-go compute metered per minute with no subscription or minimum. New accounts get a $5 starter credit once a card is on file, and the company advertises up to $10,000 in credits for startups. Exact unit rates are published on the pricing page and change over time, so confirm current figures there.

- **Per-minute sandbox billing:** Pay for vCPU, memory and disk separately while the sandbox runs; when it sleeps or is deleted the compute meter stops and you are left with disk cost only.
- **Ready-made agent harnesses:** Launch Claude Code, Codex, OpenClaw, OpenCode, Hermes, Grok or your own Docker image, each in its own tenant-isolated sandbox.
- **Persistent workspace and scheduling:** Files survive sleep, restarts and weeks of inactivity, and agents can be attached to cron-style schedules so work runs unattended.
- **Networking and custom domains:** Expose individual ports publicly, attach your own domain, or keep everything behind an API key on an authenticated URL.
- **Integrations and metered tools:** Connect 1,000+ apps such as Gmail, Slack, Notion and GitHub, and buy one-off capabilities like scraping or enrichment from the same balance.

**Strengths:** Aggressively low per-minute pricing with an explicit public comparison against major sandbox providers; Persistent disk and scheduling make it suitable for real agent workloads rather than one-shot tasks; Strong isolation story (gVisor, firewalled egress, no public hostnames) plus SOC 2 Type I; Flexible model and tool sourcing: platform gateway, bring-your-own keys, or pay-per-use tools

**Limitations:** Prepaid balance model means you must top up in advance and monitor spend across many sandboxes; Persona pricing and plan details are only available after contacting the team for the white-label and enterprise tracks; Documentation and benchmark claims are largely self-published, so independent verification is limited

[Profile (Markdown)](https://openaitools.app/tool/agent-37.md)

## Roboflow

Roboflow is a computer vision platform built for what it calls AI for the physical world. Its goal is to move vision projects from idea to production without stitching together a dozen separate tools. The platform covers the full lifecycle: collecting and labeling image data with AI-assisted annotation, training and comparing models, assembling multi-step workflows, and deploying inference in the cloud or on edge hardware.

The annotation layer uses frontier models and custom filters to label thousands of images quickly, which drastically cuts the most tedious part of a vision project. From there, teams train models, evaluate them, and then build Roboflow Workflows that combine object detection, tracking, motion detection, line counters, and notification blocks into a single pipeline. This makes it possible to, for example, detect defects on a production line, count items on a conveyor, and send an alert when a threshold is crossed.

Roboflow also leans heavily into developer ergonomics. It maintains popular open-source projects such as supervision, inference, RF-DETR, trackers, and notebooks, and exposes an MCP server so coding agents like Claude Code, Cursor, Codex, and Gemini CLI can build deployable vision applications. Deployment targets span cloud inference and edge devices, and the customer base includes more than half the Fortune 100, with published case studies in rail logistics, building materials, and consumer goods. A free tier lets individuals and small teams start building before committing to a paid plan.

**Pricing & Plans:** Roboflow offers a free tier that the company says is enough to start building, and paid plans for more usage and team features. Larger enterprise and high-volume deployments are priced through a sales conversation, so exact figures depend on your project and should be confirmed on the pricing page or with Roboflow directly.

- **AI-assisted annotation:** Label thousands of images in minutes using frontier models and custom filters, then curate datasets for training.
- **Visual Workflows builder:** Combine detection, tracking, and logic blocks to orchestrate actions, update databases, and connect to industrial systems.
- **Cloud and edge deployment:** Run high-speed inference in the cloud or on edge devices, processing live video and images wherever the application lives.
- **Roboflow Agent:** Get into production quickly with an agent that sees the world, understands what is happening, and triggers actions.
- **Developer and open-source tooling:** Connect coding agents like Claude Code, Cursor, Codex, or Gemini CLI to the Roboflow MCP server, and build on open-source projects including supervision, inference, RF-DETR, and trackers.

**Strengths:** Covers the whole vision lifecycle in one platform, from annotation to deployment; AI-assisted labeling dramatically speeds up dataset preparation; Roboflow Workflows chain detection, tracking, and actions without heavy custom code; Deployment in the cloud or on edge devices, with live video support

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

## Frequently Asked Questions

### How do Agent 37 and Roboflow compare in monthly traffic?

Agent 37 has 180,030 monthly visits, while Roboflow has 1,431,204. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Agent 37 has a month-over-month growth rate of +24.2%; Roboflow has +6.6%.

### How does pricing compare?

Agent 37: Free Trial, Contact for Pricing. Prepaid, pay-as-you-go compute metered per minute with no subscription or minimum. New accounts get a $5 starter credit once a card is on file, and the company advertises up to $10,000 in credits for startups. Exact unit rates are published on the pricing page and change over time, so confirm current figures there. Roboflow: Freemium, Contact for Pricing. Roboflow offers a free tier that the company says is enough to start building, and paid plans for more usage and team features. Larger enterprise and high-volume deployments are priced through a sales conversation, so exact figures depend on your project and should be confirmed on the pricing page or with Roboflow directly.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) |
| 2 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Runs serverless Python containers optimized for AI model inference and batch jobs rather than persistent agent sandboxes. | [.md](https://openaitools.app/tool/modal-com.md) |
| 3 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Run, fine-tune, and deploy machine learning models with one line of code | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 4 | [Ultralytics](https://openaitools.app/tool/ultralytics) | 793,423 | +8.7% | Freemium | Focuses specifically on the YOLO model family for real-time object detection, whereas Roboflow offers a broader suite of annotation and dataset tools. | [.md](https://openaitools.app/tool/ultralytics.md) |
| 5 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Provides powerful enterprise data labeling and curation workflows, but lacks Roboflow's built-in model training and edge deployment pipelines. | [.md](https://openaitools.app/tool/labelbox.md) |
| 6 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Combines annotation and data curation for enterprise ML pipelines, but requires more manual setup for edge model deployment. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 7 | [Browserbase](https://openaitools.app/tool/browserbase) | 283,597 | -8% | Freemium | Cloud browsers and web APIs for AI agents | [.md](https://openaitools.app/tool/browserbase.md) |
| 8 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Strong multimodal data infrastructure for physical AI datasets, though less focused on simple end-user model deployment than Roboflow. | [.md](https://openaitools.app/tool/encord-com.md) |
| 9 | [Coder](https://openaitools.app/tool/coder) | 149,417 | -12.8% | Free Trial, Contact for Pricing, Free | Self-hosted infrastructure platform for provisioning secure cloud development workspaces and governing AI coding agents. | [.md](https://openaitools.app/tool/coder.md) |
| 10 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | A flexible open-source labeling tool you can self-host, but lacks Roboflow's managed cloud infrastructure for training and deployment. | [.md](https://openaitools.app/tool/label-studio.md) |

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Source: https://openaitools.app/compare/agent-37-vs-roboflow

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