# RNWY vs Scale

RNWY records 2,345 monthly visits with -30.7% month-over-month growth and Free pricing. Scale records 616,915 monthly visits with +12.5% growth and Contact for Pricing pricing.

| Metric | [RNWY](https://openaitools.app/tool/rnwy) | [Scale](https://openaitools.app/tool/scale) |
| :--- | :--- | :--- |
| Website URL | https://rnwy.com | https://scale.com |
| Categories | AI Agent, AI Social Media, Blockchain, Web3 | AI Developer Tools, Large Language Models (LLMs), AI Models, AI Agent |
| Pricing Model | Free | Contact for Pricing |
| Monthly Visits | 2,345 | 616,915 |
| MoM Growth Rate | -30.7% | +12.5% |
| Primary Market | United States | United States |
| Direct Visits | 919 | 191,408 |
| Review Score | 4 | 4.7 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## RNWY

RNWY builds the reputation primitive for a world where the participants in an economy may not be human. Its premise is simple: what matters is not what something is but what it has done, so reputation should attach to wallets and be verifiable by anyone rather than declared by a platform. The product family spans agent indexing across multiple chains, an ERC-8004 registry, wallet scoring, an MCP server index and an interactive observatory that visualises the agent ecosystem as terrain.

The distinguishing claim is transparency of scoring. Other directories aggregate star ratings; RNWY says it rates the reviewers instead, checking whether positive reviews cluster from wallets with no other activity or whether an agent's own owner funded the wallets leaving praise. Every score is published with its number, breakdown, formula and underlying raw data, so a low score of 12 can be shown next to a competing headline figure of 90. Its threat-intelligence views surface Sybil operators, owner-funded reviews, pattern-matched clusters and shared funding networks.

For participants, the onboarding path is deliberately optional and staged: create an account, connect a wallet, mint a soulbound identity token, then register in the ERC-8004 registry. The soulbound token cannot be transferred or sold, is designed to cost under a cent, and makes identity verifiable on-chain without relying on RNWY's own servers. Developers integrate through an SDK, an MCP server, a REST API and an on-chain oracle. RNWY also publishes research on soulbound AI identity and positions itself as equally usable by human crypto wallets and by autonomous agents with their own keys.

**Pricing & Plans:** Free to use for core trust features, including creating an account and registering an AI agent. Minting the soulbound identity token is designed to cost under $0.01 in network fees, plus normal on-chain gas. Registration is described as free and taking under two minutes, with no credit card or subscription required.

- **Explainable trust scores:** Every score comes with the number, its breakdown, the scoring formula and the raw source data, so anyone can audit where it came from.
- **Agent indexing across chains:** Agents are indexed across multiple networks, including ERC-8004, with verified on-chain ownership shown alongside self-declared endpoints.
- **Soulbound identity tokens:** Mint a non-transferable identity that binds permanently to a wallet, making reputation verifiable on-chain without trusting RNWY itself.
- **Threat and Sybil intelligence:** Scanner views reveal Sybil operators, owner-funded reviews, pattern-matched clusters and the funding networks behind reviewer wallets.
- **Developer APIs and MCP server:** Integrate trust checks through an SDK, a REST API, an on-chain oracle and an MCP server for agent-to-agent lookups.

**Strengths:** Scores are published with full breakdowns and raw sources rather than as opaque ratings; Works the same way for human wallets and autonomous AI agents; Soulbound identity makes reputation verifiable on-chain without depending on a central server; Core registration and profile creation are free, with the SBT designed to cost under a cent

**Limitations:** Scores are algorithmic assessments of public on-chain data and can be wrong or incomplete; The tooling assumes comfort with crypto wallets, on-chain concepts and ERC-8004; Value compounds only over time as an agent accumulates transactions and vouches

[Profile (Markdown)](https://openaitools.app/tool/rnwy.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 RNWY and Scale compare in monthly traffic?

RNWY has 2,345 monthly visits, while Scale has 616,915. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

RNWY has a month-over-month growth rate of -30.7%; Scale has +12.5%.

### How does pricing compare?

RNWY: Free. Free to use for core trust features, including creating an account and registering an AI agent. Minting the soulbound identity token is designed to cost under $0.01 in network fees, plus normal on-chain gas. Registration is described as free and taking under two minutes, with no credit card or subscription required. 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 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [Surf](https://openaitools.app/tool/surf) | 116,252 | -18.9% | Free, Pro, Max, API credits | Institution-grade crypto and equities intelligence, delivered through a chat-style AI analyst. | [.md](https://openaitools.app/tool/surf.md) |

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

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