# DealMachine vs Dust

DealMachine records 410,500 monthly visits with +63.1% month-over-month growth and Free Trial, Paid pricing. Dust records 547,217 monthly visits with +1.8% growth and Contact for Pricing pricing.

| Metric | [DealMachine](https://openaitools.app/tool/dealmachine-com) | [Dust](https://openaitools.app/tool/dust) |
| :--- | :--- | :--- |
| Website URL | https://dealmachine.com | https://dust.tt |
| Categories | AI Real Estate, AI Assistant, AI Cold Calling, AI Call Center | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management |
| Pricing Model | Free Trial, Paid | Contact for Pricing |
| Monthly Visits | 410,500 | 547,217 |
| MoM Growth Rate | +63.1% | +1.8% |
| Primary Market | United States | France |
| Direct Visits | 283,814 | 456,919 |
| Review Score | 4.3 | 4.4 |
| Saved Count | 2 | 5 |
| Supported Platforms | Website | Website |

## DealMachine

DealMachine started as a driving-for-dollars app that let investors tag distressed properties from their phone, and has grown into a broader nationwide property data platform. The current product centres on a single search bar: you can look up any address, find the owner behind it, or describe the list you want in plain language and have the AI translate that request into a precise property search across roughly 150 million properties, 240 million people records and 50 million companies.

From a result set you can refine with hundreds of filters such as equity thresholds, ownership length, vacancy status, property type, preforeclosure or tax-delinquent status, then export a property, contact, email or phone list to CSV or push it through the REST API, CLI and webhooks into the tools you already use. A built-in mail app turns saved lists into personalised postcard campaigns with drip sequences and tracking, while the mobile app keeps route tracking and tap-to-tag workflows for driving for dollars.

Plan structure is per-seat with a monthly allowance of data credits. The entry Basic plan starts around $99 per month with 10,000 data credits and grows to Pro with 20,000 credits and premium filters, while the Scale package at $599 per month per package is aimed at agencies and enterprises that need 100,000 records, ten workspace seats, SSO/SAML, onboarding and custom SLAs. Postcards are billed by usage and drop in per-piece price as you prepay larger volumes.

**Pricing & Plans:** Free trial, then paid per-seat plans starting around $99/month with 10,000 monthly data credits. Scale packages at $599/month per package include 100,000 records and 10 seats. Direct mail is usage-based with prepaid volume discounts.

- **Unified property and owner search:** One search bar handles address lookups, owner lookups and plain-language list requests across 150M+ properties, 240M+ people and 50M+ company records.
- **AI list building:** Describe the campaign you want in natural language or upload a CSV, and the AI translates it into a precise property search with 800+ refinements such as equity, vacancy and ownership length.
- **Skip tracing and enrichment:** Append verified phone numbers, emails and 100+ extra data fields to any property or contact list, then export to CSV or deliver it via API.
- **Driving for Dollars mobile app:** Tag distressed properties on the go, track routes for teams, capture photos and pull owner details instantly while still in the field.
- **Direct mail campaigns:** Design, target and mail personalised postcards from saved lists, with automated drip sequences, campaign analytics and usage-based postcard pricing.

**Strengths:** Combines data, skip tracing, field app and direct mail in one subscription instead of several vendors; Very large nationwide dataset with 150M+ properties and 240M+ people records; Plain-language AI search makes complex list building accessible to non-technical users; Team features such as shared workspaces, seat management and priority support on higher tiers

**Limitations:** Data coverage is limited to the United States, so it is not useful for international investors; Data credits are consumed quickly by bulk exports and skip tracing, which can push costs above the headline seat price; Direct mail is billed separately from the subscription and adds up for high-volume campaigns

[Profile (Markdown)](https://openaitools.app/tool/dealmachine-com.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 DealMachine and Dust compare in monthly traffic?

DealMachine has 410,500 monthly visits, while Dust has 547,217. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

DealMachine has a month-over-month growth rate of +63.1%; Dust has +1.8%.

### How does pricing compare?

DealMachine: Free Trial, Paid. Free trial, then paid per-seat plans starting around $99/month with 10,000 monthly data credits. Scale packages at $599/month per package include 100,000 records and 10 seats. Direct mail is usage-based with prepaid volume discounts. 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 | [XLeads](https://openaitools.app/tool/xleads-com) | 277,102 | +78.1% | Paid | Features robust real estate wholesaling and lead generation tools, but lacks DealMachine's integrated direct mail marketing campaigns. | [.md](https://openaitools.app/tool/xleads-com.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/dealmachine-com-vs-dust

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)