# Ouro vs Salesforce Agentforce (formerly Einstein)

Ouro records 3,971 monthly visits with -15.7% month-over-month growth and Freemium pricing. Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% growth and Freemium pricing.

| Metric | [Ouro](https://openaitools.app/tool/ouro) | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) |
| :--- | :--- | :--- |
| Website URL | https://ouro.foundation | https://www.salesforce.com/agentforce/ |
| Categories | AI Agent, AI API, AI Assistant, AI Developer Tools | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 3,971 | 111,910,743 |
| MoM Growth Rate | -15.7% | +2.2% |
| Primary Market | United States | United States |
| Direct Visits | 1,570 | 60,741,009 |
| Review Score | 4.2 | 4.4 |
| Saved Count | 0 | 20 |
| Supported Platforms | Website | Website |

## Ouro

Ouro reframes scientific publishing around reusable assets rather than one-way papers. Researchers and autonomous agents publish structures, datasets, and models, and anyone can call those models as an API, log the run, and publish a result that links back to every input it used. The platform hosts open research teams organized around concrete problems, from rare-earth-free permanent magnets to superconductors, thermoelectrics, solid-state batteries, and 2D materials, with thousands of assets already published.

The workbench is deliberately practical. A browser sandbox lets you run a live model without a cluster or install, every run is recorded with its inputs and outputs, and results are written up in the open so the next person can pick up where you stopped. Contributions are credited through the same asset graph that drives discovery.

The commercial model is equally direct: publishing is free, private assets are supported, and Ouro only takes a cut when assets are sold. Authors price their own datasets and paid API routes, and can bill in USD or Bitcoin. Organizations add private workspaces for labs and companies that want to work internally before going public.

**Pricing & Plans:** Free to join and free to publish public work, with 1 GB storage, 100 assets, and 20 datasets. Gold is $10/month or $100/year for 100 GB storage, 10,000 assets, and 2,000 datasets. Organizations cost $5 per seat per month with a 2-seat minimum, including 50 GB of shared storage. Ouro charges a 30% fee only on sales of paid datasets, files, posts, and API calls; free assets are never charged.

- **Composable research assets:** Structures, datasets, models, and write-ups are published as first-class assets that other people and agents can build on, with the full dependency chain visible.
- **Run models as APIs:** Call a published model directly from the Ouro workbench or programmatically, log what went in and what came out, and keep the run attached to your result.
- **Open team challenges:** Join or create a team around a single scientific problem, such as finding a strong magnet without rare earths, and submit scored entries.
- **Author-set monetization:** Price your own datasets, files, posts, and API routes. Buyers pay by card or in Bitcoin, and Ouro takes a 30% cut only when something sells.
- **Agent-ready infrastructure:** MCP support, documented APIs, and asset graphs designed so AI agents can publish, query, and run work alongside human researchers.

**Strengths:** Free to publish, join teams, and run free API routes, with only a 30% cut on paid sales; Every result is logged with its inputs, so reproducibility is built into the workflow rather than bolted on; Model-as-API design means published work gets reused instead of just cited; Organizations support internal, private collaboration before public release

**Limitations:** The 30% platform fee on sales is high compared with many developer marketplaces; The open-team model skews toward computational and materials-science domains; Researchers outside that space may find fewer ready-made assets and challenges to join

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

## Salesforce Agentforce (formerly Einstein)

Originally launched as Salesforce Einstein for predictive CRM scoring and later Einstein Copilot for conversational assistance, Salesforce's flagship AI platform is now led by Agentforce. Built natively into the Salesforce Platform and grounded in unified enterprise data via Data 360 (formerly Data Cloud), Agentforce moves beyond rigid decision-tree chatbots and passive text generators to deploy autonomous AI agents capable of reasoning through multi-step problems and executing real business actions around the clock.

At the core of the platform is the Atlas Reasoning Engine, which evaluates incoming customer requests or system triggers, retrieves verified context from CRM records and external APIs, formulates an execution plan, and invokes Salesforce Flows, Apex classes, MuleSoft connectors, or verified Model Context Protocol (MCP) servers. In 2026, Salesforce expanded the platform with Long-Horizon Runtime—enabling agents to pursue multi-day workflows with human-in-the-loop oversight—alongside Multi-Agent Orchestration, Agentforce Voice for natural phone interactions beyond legacy IVR, and Agent Optimizer for real-time observability.

Organizations can launch pre-built role agents in clicks using the low-code Agent Builder or customize deterministic logic with Agent Script. Out-of-the-box roles include Customer Service Agents, autonomous Sales Development Representatives (SDRs) that qualify leads and book meetings, Sales Coaches for interactive deal role-play, Commerce Personal Shoppers, and Employee Coworker agents embedded directly inside Slack and Salesforce clouds.

**Pricing & Plans:** Existing Enterprise+ customers can start free via Salesforce Foundations ($0); usage-based options include Flex Credits at $500 per 100,000 credits ($0.10 per standard action, $0.15 per voice action), $2 per customer conversation, or $2 per Help Agent resolution, while unmetered employee seat add-ons cost $125–$150/user/month and Max (Agentforce 1) Editions start at $550/user/month.

- **Atlas Reasoning Engine & Long-Horizon Runtime:** Deconstructs complex queries into multi-step action plans grounded in Data 360, retaining state across days or weeks to complete multi-touch operational workflows with human escalation guardrails.
- **Low-Code Agent Builder & Agent Script:** Configure custom agents, subagents, natural-language instructions, and deterministic guardrails using existing Salesforce Flows, Prompt Builder templates, Apex code, and MuleSoft APIs.
- **Multi-Agent Orchestration & MCP Interoperability:** Coordinate specialized subagents across departments and connect securely to external enterprise tools through verified Model Context Protocol (MCP) servers from AgentExchange partners.
- **Agentforce Voice & Omnichannel Deployment:** Replace rigid telephone IVR trees with low-latency conversational voice agents alongside unified deployments across web chat, WhatsApp, SMS, mobile apps, and Slack.
- **Pre-Built Role Agents & Agent Optimizer:** Deploy ready-made Service, SDR, Sales Coach, Buyer, and Merchandiser agents out of the box, then monitor resolution accuracy and bottlenecks in near real time with Agent Optimizer.

**Strengths:** Deep native access to Salesforce CRM objects, Flows, Apex logic, MuleSoft integrations, and Data 360 without brittle third-party syncing.; Flexible 2026 billing models let enterprises choose between per-action Flex Credits ($0.10/action), $2 per conversation, $2 per resolution, or unmetered per-user licenses.; Enterprise-grade Einstein Trust Layer enforces zero data retention with external LLM providers, PII masking, and toxicity detection.; Supports open multi-agent interoperability via Model Context Protocol (MCP) and Long-Horizon multi-day task execution.

**Limitations:** Consumption pricing across Flex Credits, Data 360 credits, and seat add-ons is complex to forecast and prevents mixing Flex Credits and Conversation meters in the same org.; Requires clean, well-structured Salesforce CRM and Data 360 governance to avoid inaccurate agent actions.; Full enterprise capabilities carry a steep total cost of ownership, with top-tier Max / Agentforce 1 editions reaching $550 per user per month.

[Profile (Markdown)](https://openaitools.app/tool/salesforce-einstein.md)

## Frequently Asked Questions

### How do Ouro and Salesforce Agentforce (formerly Einstein) compare in monthly traffic?

Ouro has 3,971 monthly visits, while Salesforce Agentforce (formerly Einstein) has 111,910,743. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Ouro has a month-over-month growth rate of -15.7%; Salesforce Agentforce (formerly Einstein) has +2.2%.

### How does pricing compare?

Ouro: Freemium. Free to join and free to publish public work, with 1 GB storage, 100 assets, and 20 datasets. Gold is $10/month or $100/year for 100 GB storage, 10,000 assets, and 2,000 datasets. Organizations cost $5 per seat per month with a 2-seat minimum, including 50 GB of shared storage. Ouro charges a 30% fee only on sales of paid datasets, files, posts, and API calls; free assets are never charged. Salesforce Agentforce (formerly Einstein): Freemium. Existing Enterprise+ customers can start free via Salesforce Foundations ($0); usage-based options include Flex Credits at $500 per 100,000 credits ($0.10 per standard action, $0.15 per voice action), $2 per customer conversation, or $2 per Help Agent resolution, while unmetered employee seat add-ons cost $125–$150/user/month and Max (Agentforce 1) Editions start at $550/user/month.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [Intercom](https://openaitools.app/tool/intercom-com) | 4,471,110 | +2.7% | Free Trial, Paid | Exceptional customer support and helpdesk workflow automation, but less suited for broad enterprise CRM and sales execution. | [.md](https://openaitools.app/tool/intercom-com.md) |
| 4 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 5 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | An all-in-one AI super assistant for professionals and enterprises | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 6 | [Gong – Revenue AI OS](https://openaitools.app/tool/gong-io) | 2,337,769 | +3% | Contact for Pricing | Superior revenue intelligence and call analytics, but specialized for sales insights rather than general agentic workflow automation. | [.md](https://openaitools.app/tool/gong-io.md) |
| 7 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Visual no-code builder for custom AI agents, but lacks Salesforce's native enterprise data connectors and CRM structure. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 8 | [Attio](https://openaitools.app/tool/attio) | 1,652,928 | -4.2% | Free Trial, Contact for Pricing | Modern customizable CRM with built-in AI agents, but lacks the massive enterprise ecosystem and scale of Salesforce. | [.md](https://openaitools.app/tool/attio.md) |
| 9 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |
| 10 | [Labelbox](https://openaitools.app/tool/labelbox) | 762,803 | -22.8% | Contact for Pricing | The environments frontier AI trains on, and the agents that do the recurring work | [.md](https://openaitools.app/tool/labelbox.md) |

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Source: https://openaitools.app/compare/ouro-vs-salesforce-einstein

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