# Agenty vs Dust

Agenty records 29,753 monthly visits with +18.6% month-over-month growth and Free Trial, Paid, Contact for Pricing pricing. Dust records 547,217 monthly visits with +1.8% growth and Contact for Pricing pricing.

| Metric | [Agenty](https://openaitools.app/tool/agenty) | [Dust](https://openaitools.app/tool/dust) |
| :--- | :--- | :--- |
| Website URL | https://agenty.com | https://dust.tt |
| Categories | AI Web Scraping, AI API | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management |
| Pricing Model | Free Trial, Paid, Contact for Pricing | Contact for Pricing |
| Monthly Visits | 29,753 | 547,217 |
| MoM Growth Rate | +18.6% | +1.8% |
| Primary Market | United States | France |
| Direct Visits | 12,048 | 456,919 |
| Review Score | 4.3 | 4.4 |
| Saved Count | 0 | 5 |
| Supported Platforms | Website | Website |

## Agenty

Agenty is a web data platform built around three connected products: a no-code web scraping tool that turns any site into structured JSON or CSV, a change detection product that watches pages for visual and content changes and fires alerts, and a web crawler that can walk whole sites with control over depth, speed and rules. Agents can be configured with schedules, proxy regions, retry policies and robots.txt handling, and jobs return clean tabular output you can download or pull programmatically.

For developers, Agenty exposes a REST API with API keys, webhooks, rate limits and SDK examples in cURL, Python and JavaScript, including markdown output that is well suited to LLM and RAG training pipelines. Post-processing scripts let you drop null rows, normalize URLs and deduplicate records before data reaches a warehouse. A Chrome extension and free utilities such as URL-to-screenshot, URL-to-Markdown, sitemap crawler and PDF-to-Markdown round out the toolkit.

Typical buyers are e-commerce and market research teams running competitor price and MAP compliance monitoring, data teams curating training data, and engineering teams automating recurring extraction jobs. New sign-ups get a free account with page credits to build their first agent, and the vendor also offers managed help plus a sample dataset before you commit.

**Pricing & Plans:** Free tier with pay-as-you-go credits on signup (homepage advertises a free account with 100 pages credit), tiered self-serve pricing plans, and custom enterprise pricing with volume plans and an uptime SLA available on request. Exact plan amounts should be confirmed on the pricing page.

- **No-code scraping agents:** No-code scraping agents
- **Point-and-click agents extract structured data from any site:** Point-and-click agents extract structured data from any site, with batch URL lists, sitemaps and scheduled runs.
- **AI-powered extraction:** AI-powered extraction
- **Intelligent agents adapt to page changes and pull structured:** Intelligent agents adapt to page changes and pull structured fields automatically, with clean JSON and CSV exports.
- **Change detection & monitoring:** Change detection & monitoring
- **Track visual and content changes, capture screenshots, follo:** Track visual and content changes, capture screenshots, follow keyword changes and trigger email alerts or webhooks.

**Strengths:** Point-and-click agents plus a documented API cover both non-technical and developer workflows; Handles JavaScript-heavy and AJAX-rendered pages with proxy rotation and anti-bot measures; Change detection, crawling and scraping live in one console with shared scheduling and exports; Ships free utilities such as URL-to-Markdown and sitemap crawler that are useful on their own

**Limitations:** No public self-serve price table on the homepage makes budget planning harder; Advanced anti-bot reliability depends on proxy tiers that can raise costs for heavy jobs; Learning the agent configuration options takes time before large crawls run smoothly

[Profile (Markdown)](https://openaitools.app/tool/agenty.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 Agenty and Dust compare in monthly traffic?

Agenty has 29,753 monthly visits, while Dust has 547,217. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Agenty has a month-over-month growth rate of +18.6%; Dust has +1.8%.

### How does pricing compare?

Agenty: Free Trial, Paid, Contact for Pricing. Free tier with pay-as-you-go credits on signup (homepage advertises a free account with 100 pages credit), tiered self-serve pricing plans, and custom enterprise pricing with volume plans and an uptime SLA available on request. Exact plan amounts should be confirmed on the pricing page. 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 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Run thousands of ready-made web scrapers and AI agents from one cloud platform | [.md](https://openaitools.app/tool/apify.md) |
| 4 | [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) |
| 5 | [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) |
| 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 | [PhantomBuster](https://openaitools.app/tool/phantombuster) | 279,012 | -10.1% | Freemium, Free Trial, Paid | No-code automation for sales prospecting and data extraction | [.md](https://openaitools.app/tool/phantombuster.md) |
| 9 | [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) |
| 10 | [Octoparse](https://openaitools.app/tool/octoparse) | 184,251 | +1.2% | Freemium, Free Trial, Paid, Contact for Pricing | Agentic, no-code web scraping that turns any URL into clean structured data | [.md](https://openaitools.app/tool/octoparse.md) |

---
Source: https://openaitools.app/compare/agenty-vs-dust

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