# Miniloop vs Salesforce Agentforce (formerly Einstein)

Miniloop records 13,258 monthly visits with -16.9% month-over-month growth and Contact for Pricing pricing. Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% growth and Freemium pricing.

| Metric | [Miniloop](https://openaitools.app/tool/miniloop) | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) |
| :--- | :--- | :--- |
| Website URL | https://miniloop.ai | https://www.salesforce.com/agentforce/ |
| Categories | AI Workflow, AI Productivity Tools, AI Developer Tools, AI SEO Tools | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 13,258 | 111,910,743 |
| MoM Growth Rate | -16.9% | +2.2% |
| Primary Market | United States | United States |
| Direct Visits | 5,342 | 60,741,009 |
| Review Score | 3.9 | 4.4 |
| Saved Count | 0 | 20 |
| Supported Platforms | Website | Website |

## Miniloop

Miniloop targets growing teams that feel trapped by recurring per-seat CRM costs and feature bloat. The pitch is straightforward: a scoped, custom build powered by an experienced engineering team can now cost less than a multi-year Salesforce or HubSpot renewal, especially once you add mandatory modules, storage overages, premium support, and implementation partners. Instead of paying for seats, you pay an annual fee that covers the build, secure hosting, regular updates, and ongoing support.

The engagement runs in four stages. Miniloop first studies how your team actually uses its current CRM, mapping fields, pipelines, automations, and required integrations. Its engineers then build the database and interface, only including the reports and modules you use. Next comes full data migration, importing records, histories, and pipelines from your old system. Finally, Miniloop hosts and maintains the CRM either on managed servers or on your own infrastructure, staying on to handle changes and support.

Because you can run the system on your own infrastructure and there are no per-seat fees, the model suits companies with strict compliance or data-residency needs and teams that expect headcount growth without identical bill growth. Each engagement gets a fixed quote before development starts, and Miniloop notes the service is a done-for-you build rather than a self-serve SaaS product, so it is not aimed at teams unwilling to work with an engineering partner.

**Pricing & Plans:** Contact for a quote. Pricing is project-based with a fixed quote issued before development begins, plus an ongoing annual fee covering build, hosting, updates, and support. No per-seat licensing.

- **Custom CRM built to your workflow:** Your database, pipelines, reports, and integrations are designed around your actual process, with no unused modules or workarounds.
- **No per-seat licensing:** A single annual fee covers the software and support, so adding users does not multiply your bill the way seat-based CRMs do.
- **Full data migration:** Miniloop's team imports records, histories, and pipelines from Salesforce, HubSpot, Pipedrive, Attio, and similar systems.
- **Hosting on your terms:** Run the CRM on Miniloop's managed servers or on your own infrastructure to meet compliance and data-policy requirements.
- **Ongoing support and changes:** The team stays engaged after launch to handle updates, new integrations, and evolving requirements instead of leaving you with a ticket queue.

**Strengths:** Typically cuts CRM spend by 5x to 10x versus per-seat subscriptions; Software matches your real workflow, so nobody works around the tool; Can be hosted on your own infrastructure for compliance; Full migration handled by the vendor, not left as self-service work

**Limitations:** Not self-serve: you must work with a team and a scoping process; Custom builds require a longer onboarding than signing up for SaaS; Ongoing annual fee replaces, rather than eliminates, a recurring cost

[Profile (Markdown)](https://openaitools.app/tool/miniloop.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 Miniloop and Salesforce Agentforce (formerly Einstein) compare in monthly traffic?

Miniloop has 13,258 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?

Miniloop has a month-over-month growth rate of -16.9%; Salesforce Agentforce (formerly Einstein) has +2.2%.

### How does pricing compare?

Miniloop: Contact for Pricing. Contact for a quote. Pricing is project-based with a fixed quote issued before development begins, plus an ongoing annual fee covering build, hosting, updates, and support. No per-seat licensing. 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 | [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) |
| 3 | [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) |
| 4 | [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) |
| 5 | [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) |
| 6 | [Recruit CRM](https://openaitools.app/tool/recruit-crm) | 729,799 | -7.8% | Contact for Pricing | AI-powered ATS + CRM that runs the entire recruitment desk in one place | [.md](https://openaitools.app/tool/recruit-crm.md) |
| 7 | [Chatbase](https://openaitools.app/tool/chatbase) | 396,383 | -7% | Freemium, Paid | Simple no-code AI chatbot deployment, but less equipped for complex enterprise-grade CRM automation and multi-system agents. | [.md](https://openaitools.app/tool/chatbase.md) |
| 8 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Build, share, and control AI agents that actually do the work | [.md](https://openaitools.app/tool/gumloop.md) |
| 9 | [Sierra](https://openaitools.app/tool/sierra) | 341,072 | +16.4% | Contact for Pricing | Delivers exceptionally polished customer service agents, but focuses on bespoke conversational AI rather than broad CRM workflows. | [.md](https://openaitools.app/tool/sierra.md) |
| 10 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Offers flexible no-code multi-agent workforce building, but lacks Salesforce's deep CRM data integration and native enterprise security. | [.md](https://openaitools.app/tool/relevance-ai.md) |

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

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