# DexCheck vs Dust DexCheck records 0 monthly visits with -100% month-over-month growth and Paid pricing. Dust records 547,217 monthly visits with +1.8% growth and Contact for Pricing pricing. | Metric | [DexCheck](https://openaitools.app/tool/dexcheck) | [Dust](https://openaitools.app/tool/dust) | | :--- | :--- | :--- | | Website URL | https://dexcheck.io | https://dust.tt | | Categories | AI For Data Analytics, AI Crypto, Blockchain | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | | Pricing Model | Paid | Contact for Pricing | | Monthly Visits | 0 | 547,217 | | MoM Growth Rate | -100% | +1.8% | | Primary Market | Global | France | | Direct Visits | 0 | 456,919 | | Review Score | 3.9 | 4.4 | | Saved Count | 4 | 5 | | Supported Platforms | Website | Website | ## DexCheck DexCheck is an analytics platform built for people who trade and research crypto markets. Rather than presenting raw blockchain data alone, it layers AI models on top of on-chain activity to make token moves, wallet behaviour and market sentiment easier to interpret at a glance. The product spans several areas: token analytics and due diligence, wallet and whale tracking, KOL monitoring, news aggregation and broader market intelligence. This makes it useful both for active traders hunting for early signals and for teams that need a structured view of what is happening across DeFi and NFT markets without stitching together multiple dashboards. DexCheck operates as a commercial, subscription-style product and also offers API access for builders who want its data inside their own applications. Because its marketing site sits behind a strict Cloudflare configuration, the site can intermittently reject automated requests, but the platform itself remains an established player in the crypto analytics space. **Pricing & Plans:** DexCheck is a paid product with tiered subscription plans and API access; check its pricing page for current rates and what each tier includes. - **AI token analytics:** Machine-learning models score and summarise tokens, helping traders cut through noise and spot unusual on-chain behaviour early. - **Wallet and whale tracking:** Follow the wallets that move markets, including whale activity and smart-money flows across supported chains. - **KOL and social intelligence:** Track KOL behaviour and social signals so you can judge whether a narrative is backed by real activity or pure hype. - **News aggregation:** A consolidated feed surfaces relevant crypto news and market developments next to the data that explains them. - **Developer API:** Bring DexCheck's analytics and on-chain datasets into your own products through its API offering. **Strengths:** Combines on-chain data with AI-driven scoring instead of raw dashboards alone; Covers tokens, wallets, whales, KOLs and news in a single interface; API access lets teams embed its analytics into their own products; Established presence in the crypto analytics market with broad chain coverage [Profile (Markdown)](https://openaitools.app/tool/dexcheck.md) ## Dust Dust positions itself as 'multiplayer AI' for human-agent collaboration. Rather than giving each employee a private chatbot, it lets teams build agents that have shared access to company knowledge, connected tools, conversations and notifications, so work can move back and forth between people and AI. Agents can be reused across departments, and human review stays part of the loop where it matters. The platform's differentiator is context. According to Dust, most AI tools can retrieve a single Slack message or CRM record, whereas its agents pull context together across Slack, CRM, documents and other company systems to answer with the full picture and then act on it. Over 70 connectors cover messaging, calendars, CRM, file storage, project management, data and finance tools, and agents can reach MCP servers through the same gateway. Governance is a first-class feature. Dust offers a dual-layer permission model that separates what agents can access from who can use them, SCIM-synced groups, admin-gated overrides, audit logs and analytics for monitoring adoption, usage, cost and ROI. It is SOC 2 Type II certified, offers US or EU data residency and supports single-tenant deployment. Teams can build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral and others, choosing the right model per workflow. The company says more than 3,000 organizations and 300,000+ agents run on the platform. **Pricing & Plans:** Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. - **Agents with company context:** Connect 70+ tools including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk so agents answer with real company knowledge instead of generic guesses. - **70+ connectors and MCP support:** Reach messaging, CRM, docs, project management, data, finance and MCP servers through one platform, so agents can act across systems rather than just chat. - **Model flexibility:** Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google and Mistral, and pick the best model for each task. - **AI-native governance:** A dual-layer permission model, SCIM-synced groups, admin-gated overrides, audit logs and usage analytics keep company data locked down while teams move fast. - **Multiplayer collaboration:** People and agents share context, tools and notifications, so cross-functional workflows run with reusable skills and human review built in. **Strengths:** Deep context gathering across 70+ enterprise connectors; Strong enterprise governance with permissions, audit logs and SOC 2 Type II; Model-agnostic: choose among 20+ frontier and open-source models; Shared, reusable agents that scale across departments **Limitations:** Pricing is sales-led, so costs are hard to estimate before a demo; Setting up connectors and permissions takes real admin work; Best value comes with broad rollout, which is a heavier commitment for small teams [Profile (Markdown)](https://openaitools.app/tool/dust.md) ## Frequently Asked Questions ### How do DexCheck and Dust compare in monthly traffic? DexCheck has 0 monthly visits, while Dust has 547,217. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? DexCheck has a month-over-month growth rate of -100%; Dust has +1.8%. ### How does pricing compare? DexCheck: Paid. DexCheck is a paid product with tiered subscription plans and API access; check its pricing page for current rates and what each tier includes. Dust: Contact for Pricing. Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | Provides a unified connected workspace for team documents and databases, but lacks Dust's advanced multi-source enterprise knowledge indexing. | [.md](https://openaitools.app/tool/t.md) | | 2 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Integrates deeply with CRM ecosystems to automate enterprise workflows, but is tightly bound to the Salesforce software suite. | [.md](https://openaitools.app/tool/salesforce-einstein.md) | | 3 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Offers robust enterprise-wide permission-aware search and knowledge management, but with less focus on custom multi-model agent workflows. | [.md](https://openaitools.app/tool/glean.md) | | 4 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | Combines multi-model chat assistants and automated machine learning optimization, but with a heavier focus on data science pipelines. | [.md](https://openaitools.app/tool/abacus-ai.md) | | 5 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) | | 6 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excels at visual no-code web scraping and data automation pipelines, but lacks Dust's dedicated internal knowledge base architecture. | [.md](https://openaitools.app/tool/gumloop.md) | | 7 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Focuses on secure enterprise workflow automation and security orchestration, but requires more manual setup for custom AI agents. | [.md](https://openaitools.app/tool/tines.md) | | 8 | [TradesViz](https://openaitools.app/tool/tradesviz) | 226,547 | -7.7% | Freemium | An AI-powered trading journal with 600+ statistics and broker auto-sync | [.md](https://openaitools.app/tool/tradesviz.md) | | 9 | [Intellectia.Ai](https://openaitools.app/tool/intellectia-ai) | 171,347 | +18% | Free Trial, Paid | AI-driven market analysis for faster, data-backed investing decisions | [.md](https://openaitools.app/tool/intellectia-ai.md) | | 10 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Delivers enterprise-grade conversational AI and workflow automation, but focuses more heavily on customer service and enterprise contact centers. | [.md](https://openaitools.app/tool/kore-ai.md) | --- Source: https://openaitools.app/compare/dexcheck-vs-dust More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)