# Dust vs WorkMagic

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. WorkMagic records 14,786 monthly visits with -40.2% growth and Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [WorkMagic](https://openaitools.app/tool/workmagic-io) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://workmagic.io |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Testing, AI Marketing, AI Advertising, AI For Data Analytics |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 547,217 | 14,786 |
| MoM Growth Rate | +1.8% | -40.2% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 6,449 |
| Review Score | 4.4 | 4.1 |
| Saved Count | 5 | 2 |
| Supported Platforms | Website | Website |

## 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)

## WorkMagic

Most marketing analytics stacks start from platform-reported conversions, which are inflated by double counting and by conversions that would have happened anyway. WorkMagic takes the opposite route: run incrementality tests first to establish what actually caused sales, then use those verified results to calibrate the models your team relies on day to day. The company calls this Triangulated Measurement — lift tests for truth, media mix modelling for strategic budget planning and causal attribution for tactical execution.

The platform's incrementality testing is automated and positioned on reliability: WorkMagic says 98% of its tests successfully measure lift, against an industry average of about 70%. Those results feed two downstream models. The omnichannel causal attribution model assigns credit across channels and creative while accounting for cross-channel effects, and the media mix model combines historical data with live test results to produce budget projections the vendor says land within 10% of actual performance.

A recurring theme in WorkMagic's customer stories is the halo effect — for example, TikTok Shop Ads that lift Shopify revenue far beyond the platform they ran on, or DTC attribution figures that were off by roughly a third. By measuring those cross-channel effects, brands and their finance teams share one view of incremental performance and can shift spend with more confidence. WorkMagic sells to e-commerce and omnichannel advertisers through a demo, so pricing is quoted based on your spend and measurement scope.

**Pricing & Plans:** Contact for pricing. WorkMagic sells through a demo and quotes based on ad spend, channel mix and measurement scope; no public price list is published.

- **Incrementality testing as ground truth:** Run automated geo and holdout experiments that measure true causal lift, with the vendor reporting a 98% test success rate versus an industry average near 70%.
- **Omnichannel causal attribution:** Calibrate a multi-touch attribution model with verified lift results so channel and creative-level credit reflects real incremental impact across all sales channels.
- **Causal media mix modeling:** A real-time MMM calibrated on historical data plus live test results, producing budget projections that land within roughly 10% of actual performance.
- **Halo effect measurement:** Quantify the impact of ads on sales channels beyond the one they ran in, so ROAS reflects the whole funnel rather than a single platform.
- **Finance-aligned reporting:** Align growth and finance on the same objective metrics, replacing platform-reported CAC estimates with incrementality-adjusted figures.
- **Budget optimisation:** Convert measurement into next-dollar decisions with budget scenario planning across channels and creative.

**Strengths:** Uses causal lift tests rather than trusting platform-reported conversions; Calibrates MMM and attribution with real experimental results; Explicitly quantifies halo effects across sales channels; Transparent published accuracy claims (98% test success, projections within 10%)

**Limitations:** Demo-gated sales process with no transparent public pricing; Enterprise-grade measurement fits larger advertisers better than very small brands; Incrementality tests and MMM calibration need meaningful data volume to be reliable; Value depends on connecting ad platforms, CDP and analytics data cleanly

[Profile (Markdown)](https://openaitools.app/tool/workmagic-io.md)

## Frequently Asked Questions

### How do Dust and WorkMagic compare in monthly traffic?

Dust has 547,217 monthly visits, while WorkMagic has 14,786. 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%; WorkMagic has -40.2%.

### 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. WorkMagic: Contact for Pricing. Contact for pricing. WorkMagic sells through a demo and quotes based on ad spend, channel mix and measurement scope; no public price list is published.

## 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 | [Triple Whale](https://openaitools.app/tool/triple-whale) | 1,594,461 | +1.1% | Freemium, Paid | Know what's actually working in your ecommerce business — and act on it instantly. | [.md](https://openaitools.app/tool/triple-whale.md) |
| 6 | [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) |
| 7 | [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) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/dust-vs-workmagic-io

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