# Dust vs FACEIT Predictor Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. FACEIT Predictor records 0 monthly visits with — growth and Free pricing. | Metric | [Dust](https://openaitools.app/tool/dust) | [FACEIT Predictor](https://openaitools.app/tool/faceit-predictor) | | :--- | :--- | :--- | | Website URL | https://dust.tt | https://chromewebstore.google.com/detail/faceit-predictor/plbhidhbocjfalcpofamaklaeecpplkd | | Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Sports Predictions, AI Predictions, AI Games, AI Copilot | | Pricing Model | Contact for Pricing | Free | | Monthly Visits | 547,217 | 0 | | MoM Growth Rate | +1.8% | — | | Primary Market | France | Global | | Direct Visits | 456,919 | 0 | | Review Score | 4.4 | 1.6 | | Saved Count | 5 | 0 | | Supported Platforms | Website | Browser Extension | ## 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) ## FACEIT Predictor FACEIT Predictor targets the map veto, the moment in a FACEIT match where the two teams ban and pick maps. Because the veto often decides a game before the first round starts, having a statistical read on each map is genuinely useful. The extension gathers whatever public lobby data is available on the client side, including the recent match history of the ten players in the lobby, and forwards it to a trained model that returns a win probability for each map in the pool. The results are presented inside the normal FACEIT interface, so you do not have to leave the site or open a separate dashboard. The extension integrates alongside FACEIT.com and works with FACEIT Enhancer, a popular companion plugin. If you want more automation, an Auto Sort option reorders the map list by descending probability and a Smart Veto mode can automatically veto your weakest map. A Prediction Policy setting decides which matches get analysed: all matches you view, only your own matches, or a manual selection. The tool is a free Chrome and Firefox extension distributed through the official browser stores, and it explicitly states it is not affiliated with FACEIT and takes no responsibility for match outcomes. It only asks for an email, your public FACEIT ID and a nickname for authentication. **Pricing & Plans:** Free. FACEIT Predictor is distributed as a free Chrome and Firefox extension with no subscription or in-app purchase shown on its store listing. - **Per-map win probabilities:** Outputs a predicted winning probability for every map during the veto phase so you know where your lobby is strongest. - **Auto Sort by odds:** Reorders the map elements in the veto by decreasing winning probability, putting the best options first. - **Smart Veto:** Automatically bans the map with the lowest predicted winning probability, removing the weakest pick from the pool. - **Prediction Policy control:** Choose whether to predict all matches you view, only your own matches, or a manual selection. - **FACEIT Enhancer integration:** Blends into FACEIT.com and works alongside the widely used FACEIT Enhancer plugin without extra setup. **Strengths:** Free to install and use with no subscription; Integrates directly into the FACEIT interface during veto; Trained on a large corpus of real FACEIT matches; Optional automation with Auto Sort and Smart Veto **Limitations:** Extension version has not been updated since 2022; Predictions are statistical estimates and can be wrong; Depends on publicly available lobby data being present; Not affiliated with or endorsed by FACEIT [Profile (Markdown)](https://openaitools.app/tool/faceit-predictor.md) ## Frequently Asked Questions ### How do Dust and FACEIT Predictor compare in monthly traffic? Dust has 547,217 monthly visits, while FACEIT Predictor has 0. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Dust has a month-over-month growth rate of +1.8%; FACEIT Predictor has —. ### How does pricing compare? 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. FACEIT Predictor: Free. Free. FACEIT Predictor is distributed as a free Chrome and Firefox extension with no subscription or in-app purchase shown on its store listing. ## 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 | [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) | | 9 | [Sim AI](https://openaitools.app/tool/sim-ai) | 140,953 | +20.6% | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 | Open-source workspace to build, deploy and govern AI agents | [.md](https://openaitools.app/tool/sim-ai.md) | | 10 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Self-driving agent platform you run in your own cloud | [.md](https://openaitools.app/tool/agno.md) | --- Source: https://openaitools.app/compare/dust-vs-faceit-predictor More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)