# Dust vs Prava

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Prava records 3,895 monthly visits with -44.3% growth and Free Trial, Contact for Pricing pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Prava](https://openaitools.app/tool/prava) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://prava.space |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI API, AI Agent, AI For Finance, AI Developer Tools |
| Pricing Model | Contact for Pricing | Free Trial, Contact for Pricing |
| Monthly Visits | 547,217 | 3,895 |
| MoM Growth Rate | +1.8% | -44.3% |
| Primary Market | France | United States |
| Direct Visits | 456,919 | 1,520 |
| Review Score | 4.4 | 4.3 |
| Saved Count | 5 | 0 |
| 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)

## Prava

Prava addresses a specific gap in agentic commerce: AI assistants are good at discovery but were never given a safe way to pay. Instead of ending every conversation with a redirect link, apps can embed Prava so the agent requests a scoped payment token and completes checkout inside the product.

The flow is deliberately user-controlled. A person links their card once and enrols a passkey (Face ID or fingerprint). When the agent needs to buy something, it requests a token locked to a specific merchant and amount; the user approves biometrically and payment moves directly from the user to the merchant. Because AI apps never touch card data, PCI scope for the developer stays near zero.

For developers Prava is positioned as a light integration — a handful of lines of code plus a dashboard, with multi-PSP support in a single integration. Its public materials highlight a research and development history in pricing and payments infrastructure and an integration with Visa Intelligent Commerce to enable card-based agentic payments for AI apps in the United States, with availability also extending to Southeast Asia.

**Pricing & Plans:** Prava offers a free sandbox for developers and a trial, with production and enterprise pricing arranged through sales. Exact numbers are not published publicly.

- **Agentic Checkout API:** Embed a checkout flow that an AI agent can trigger natively, so purchasing happens inside your app rather than via redirect.
- **Tokenization and Vaulting:** Card details are vaulted with a PCI DSS Level 1 partner and never exposed to the app, the AI, or the LLM.
- **Scoped Agent Tokens:** Each payment token is locked to a specific merchant and amount, with expiry and spending limits controlled by the user.
- **Passkey Approval:** Users confirm each purchase with biometric approval such as Face ID or fingerprint, keeping them in control of their money.
- **One Integration, Any PSP:** A single integration lets agents make payments across multiple payment service providers.

**Strengths:** Purpose-built for agentic commerce rather than retrofitted from consumer checkout; Zero-PCI-scope design keeps card data out of the AI app and the model; User-controlled tokens with expiry and limits reduce fraud exposure; Single integration works across multiple payment providers

**Limitations:** Public-facing pricing is not published; production access requires a sales conversation; Rollout and PSP coverage vary by region; Agentic payments still depend on merchant support for the underlying checkout flows

[Profile (Markdown)](https://openaitools.app/tool/prava.md)

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Prava has 3,895. 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%; Prava has -44.3%.

### 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. Prava: Free Trial, Contact for Pricing. Prava offers a free sandbox for developers and a trial, with production and enterprise pricing arranged through sales. Exact numbers are not published publicly.

## 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 | [Antom](https://openaitools.app/tool/antom) | 2,337,988 | +28.6% | Contact for Pricing | AI-powered global payments and growth platform for merchants | [.md](https://openaitools.app/tool/antom.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-prava

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