How do their growth rates compare?

Dust has a month-over-month growth rate of +1.8%; ReceiptsAI has +9%.

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. ReceiptsAI: Freemium. Freemium. Start free with around 30 one-time credits and no credit card. Paid tiers start at approximately $12/month (Freelancers/Starter, ~100 credits/month, 1 workspace), $24/month (Small Business, ~500 credits/month, 2 workspaces and connected mailboxes) and $39/month (Growing Teams), with annual billing offering roughly two to four months free and a 30-day money-back guarantee. One processed page equals one credit, and professional/Pro plans are available for accountants. Exact rates should be confirmed on the site.

What are alternatives to Dust and ReceiptsAI?

Other tools in related categories include Notion, Salesforce Agentforce (formerly Einstein), Glean, Abacus.AI, Taskade.

Dust vs ReceiptsAI — Traffic (547.22K vs 38.54K), Pricing & Verdict

Open AI Tools

Dust vs ReceiptsAI — Traffic (547.22K vs 38.54K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Dust	ReceiptsAI
Official Domain	dust.tt	receiptsai.com
Pricing Model	Contact for Pricing	Freemium
Monthly Visits	547.22K (547,217)	38.54K (38,541)
MoM Traffic Delta	+9.48K (+1.8%)	+3.18K (+9%)
Primary Market & Share	🇫🇷 France (65.4%)	🇺🇸 United States (33.7%)
Direct Visits / mo	456.92K	15K
User Rating	4.4	4.1
Supported Platforms	Website	Website

Dust

Multiplayer AI where people and agents work side by side

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.