# EdgeDNS vs Scale

EdgeDNS records 0 monthly visits with 0% month-over-month growth and Freemium pricing. Scale records 616,915 monthly visits with +12.5% growth and Contact for Pricing pricing.

| Metric | [EdgeDNS](https://openaitools.app/tool/edgedns) | [Scale](https://openaitools.app/tool/scale) |
| :--- | :--- | :--- |
| Website URL | https://edgedns.dev | https://scale.com |
| Categories | AI API, AI Developer Tools, AI Search Engine, AI SEO Tools | AI Developer Tools, Large Language Models (LLMs), AI Models, AI Agent |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 0 | 616,915 |
| MoM Growth Rate | 0% | +12.5% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 191,408 |
| Review Score | 4.3 | 4.7 |
| Saved Count | 1 | 3 |
| Supported Platforms | Website | Website |

## EdgeDNS

EdgeDNS is built around a simple premise: most domain-related failures are invisible until they cause real damage. A DNS record changes without anyone noticing, an SSL certificate expires on a Friday night, or a misconfigured DMARC policy quietly sends thousands of emails to spam. EdgeDNS solves this by continuously watching every domain you register — tracking DNS record drift, certificate expirations, email authentication health and security posture — and alerting you the moment something degrades.

Beyond monitoring, EdgeDNS is also an on-demand intelligence API. A single API key gives you structured JSON access to DNS lookups, WHOIS and ownership records, SSL certificate details, technology-stack detection, IP geolocation and full domain reports. Because it runs on Cloudflare's edge, responses are fast and globally consistent, with built-in caching. Privacy is a deliberate design choice: your queries and results are never shared, sold or fed into passive databases.

What sets EdgeDNS apart is its MCP (Model Context Protocol) server, which is included on every plan — including the free tier. That means Claude, ChatGPT, Gemini, Cursor and other MCP-compatible clients can look up DNS records, audit certificates, check email security and run security scans on your behalf, using live data from real servers rather than model guesses. You can call the API directly with curl or Python, or simply ask your AI assistant in plain English.

**Pricing & Plans:** EdgeDNS offers a genuinely usable free tier: 200 requests per month across all checks, full MCP access, no credit card and no time limit. Paid plans unlock higher request volumes and continuous 24/7 scheduled monitoring. Pricing is usage-based and upgrades are optional, so you can start free and scale when you need more.

- **Continuous domain monitoring:** Add domains and EdgeDNS privately tracks DNS record changes, SSL certificate expirations, ownership updates and five health scores, alerting you before issues become outages.
- **Email security audits:** Validate SPF, DKIM and DMARC configuration for your sending domains, get a letter grade and a concrete list of steps to fix problems before they send campaigns to spam.
- **Free MCP server for AI assistants:** Connect EdgeDNS once to Claude, ChatGPT, Gemini, Cursor or any MCP-compatible client and let your AI run 106 domain checks — DNS lookups, certificate audits, tech-stack detection — in plain English.
- **Domain & IP intelligence:** Pull WHOIS and ownership records, SSL certificate details, technology stacks, hosting details and IP geolocation with risk profiles in millisecond responses.
- **Compliance-ready security scoring:** Automatically score sites on security headers, SSL encryption, DNS security and overall trust — the evidence SOC 2 and ISO 27001 auditors typically request.

**Strengths:** Free tier includes 200 requests/month plus full MCP access with no credit card; Genuinely private — queries and results are never sold or fed into passive databases; Runs on Cloudflare's edge for fast, consistent global responses; MCP support works with Claude, ChatGPT, Gemini, Cursor and other major AI clients with a single command

**Limitations:** Continuous scheduled monitoring and higher volumes require a paid plan; Cloudflare protection can block automated crawlers and some scripts, occasionally complicating setup; Advanced features like compliance evidence workflows may feel developer-oriented for non-technical users

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

## Scale

Scale positions itself as the infrastructure layer for reliable AI - the data, evaluations and deployment support that sit underneath working systems rather than a single consumer-facing model. Founded in 2016, it built its reputation supplying training data and labelling capacity to the autonomous vehicle and then the generative AI wave, and now describes itself as powering a large share of the world's leading generative AI model builders.

The offering spans three broad areas. Data covers sourcing and expert annotation for training and fine-tuning, including RLHF-style preference data. Evaluation covers public leaderboards and private benchmarks used to measure model capability and safety. Applications covers the build-and-deploy side: identifying a viable use case, constructing the system and owning the outcome, with agentic AI for enterprise operations.

Scale's customer list leans heavily enterprise and public sector, including large technology companies, healthcare providers, media organisations, energy companies and government defence programmes. Because engagements are scoped rather than self-serve, pricing is arranged through a sales process, and the platform is aimed at organisations with serious data volume, strict compliance needs and a mandate to put AI into production.

**Pricing & Plans:** Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

- **Data Engine:** Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
- **Model evaluation & benchmarks:** Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
- **Enterprise AI applications:** Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
- **Agentic deployment:** Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
- **Domain expertise:** Programmes spanning healthcare, robotics, defence, public sector and enterprise with human oversight built in.

**Strengths:** Backed by a long track record in training data and model evaluation.; End-to-end coverage from data sourcing through to deployed systems.; Experienced with regulated, classified and safety-critical environments.; Benchmarks and leaderboards give an independent view of model capability.

**Limitations:** No public pricing or self-serve signup - you need a sales conversation to get started.; Enterprise-scale contracting and data operations require real internal commitment.; Overkill for small teams with modest data or evaluation needs.; Some projects involve sensitive government and defence work with strict compliance overhead.

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

## Frequently Asked Questions

### How do EdgeDNS and Scale compare in monthly traffic?

EdgeDNS has 0 monthly visits, while Scale has 616,915. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

EdgeDNS has a month-over-month growth rate of 0%; Scale has +12.5%.

### How does pricing compare?

EdgeDNS: Freemium. EdgeDNS offers a genuinely usable free tier: 200 requests per month across all checks, full MCP access, no credit card and no time limit. Paid plans unlock higher request volumes and continuous 24/7 scheduled monitoring. Pricing is usage-based and upgrades are optional, so you can start free and scale when you need more. Scale: Contact for Pricing. Contact for pricing. Scale does not publish rates; engagements are scoped through a sales conversation and depend on data volume, services and programme complexity.

## 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 computer vision dataset annotation and model training, but is less suited for general LLM text tasks. | [.md](https://openaitools.app/tool/roboflow.md) |
| 2 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | Focuses heavily on enterprise data labeling and training data curation, similar to Scale's core annotation business. | [.md](https://openaitools.app/tool/labelbox.md) |
| 3 | [SuperAnnotate](https://openaitools.app/tool/super-annotate) | 386,034 | +37.4% | Free Trial, Contact for Pricing | Provides enterprise multimodal annotation and data management tools, but with less emphasis on managed labeling workforces. | [.md](https://openaitools.app/tool/super-annotate.md) |
| 4 | [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) |
| 5 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation. | [.md](https://openaitools.app/tool/arize-com.md) |
| 6 | [Encord](https://openaitools.app/tool/encord-com) | 244,204 | +9.4% | Contact for Pricing | Specializes in data infrastructure and annotation specifically tailored for computer vision and physical AI workloads. | [.md](https://openaitools.app/tool/encord-com.md) |
| 7 | [SEOmator](https://openaitools.app/tool/seomator) | 187,850 | +10.6% | Freemium, Paid | AI SEO manager that tracks rankings and AI answers, then does the work | [.md](https://openaitools.app/tool/seomator.md) |
| 8 | [Label Studio](https://openaitools.app/tool/label-studio) | 137,199 | -16.1% | Contact for Pricing, Free | Offers a flexible open-source alternative for custom data labeling and human-in-the-loop annotation pipelines. | [.md](https://openaitools.app/tool/label-studio.md) |
| 9 | [Future AGI](https://openaitools.app/tool/future-agi) | 121,741 | -7.8% | Freemium, Usage-based | Build, simulate, evaluate and monitor self-improving AI agents | [.md](https://openaitools.app/tool/future-agi.md) |
| 10 | [Maxim AI](https://openaitools.app/tool/maxim-ai) | 121,351 | +10% | Contact for Pricing, Free Open Source | Provides LLM evaluation and testing workflows, but lacks Scale's massive human-in-the-loop data labeling services. | [.md](https://openaitools.app/tool/maxim-ai.md) |

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Source: https://openaitools.app/compare/edgedns-vs-scale

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