# LevelFields AI vs Salesforce Agentforce (formerly Einstein)

LevelFields AI records 12,434 monthly visits with -26% month-over-month growth and Paid pricing. Salesforce Agentforce (formerly Einstein) records 111,910,743 monthly visits with +2.2% growth and Freemium pricing.

| Metric | [LevelFields AI](https://openaitools.app/tool/levelfields-ai) | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) |
| :--- | :--- | :--- |
| Website URL | https://www.levelfields.ai | https://www.salesforce.com/agentforce/ |
| Categories | AI Stock Trading, AI Investing, AI Trading Bot, AI For Finance | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code |
| Pricing Model | Paid | Freemium |
| Monthly Visits | 12,434 | 111,910,743 |
| MoM Growth Rate | -26% | +2.2% |
| Primary Market | United States | United States |
| Direct Visits | 4,290 | 60,741,009 |
| Review Score | 4.2 | 4.4 |
| Saved Count | 1 | 20 |
| Supported Platforms | Website | Website |

## LevelFields AI

LevelFields takes a different approach from chart-and-indicator tools: it starts from events. The AI monitors millions of news and corporate events across roughly 6,300 companies, classifies them into about two dozen catalyst scenario types, and surfaces the ones that have historically triggered outsized price moves. Instead of opinions, users see data on what happened to a stock price one day, one week and one month after comparable events.

The workflow is deliberately simple. You pick an event type, review the historical price reaction patterns to judge entry and exit points, then set alerts so the platform emails or texts you when a matching catalyst fires. The company pitches Level 1 as a do-it-yourself tier that includes all scenarios, data, custom alerts and trends, while Level 2 adds analyst-called-out alerts, trade positioning, options ideas, one-on-one training and SMS alerts — with roughly one to two new trade ideas per week according to the vendor.

LevelFields is aimed at options traders, swing traders, long-term investors and wealth advisors who want catalyst-driven ideas rather than hype. Because it is a research and alerting tool, users still execute their own trades, and the vendor is explicit that it is not a robo-advisor or signal-execution service.

**Pricing & Plans:** Paid subscription with two main tiers: a self-service Level 1 plan and a Level 2 plan that adds analyst alerts, training and SMS trade ideas. Monthly pricing is notably higher than annual, reflecting the front-loaded value of the data.

- **Event-driven AI scanning:** Monitors roughly 6,300 stocks for catalysts across about 24 scenario types, including leadership changes, lawsuits, government actions and restructurings.
- **Historical price reaction data:** Shows how stocks moved one day, one week and one month after comparable events to guide entry and exit decisions.
- **Customizable alerts by scenario:** Set alerts so the platform notifies you when a monitored event type fires on your watchlist or portfolio names.
- **Level 2 analyst trade ideas:** Analyst-curated alerts, options-aware positioning guidance and SMS notifications, roughly one to two ideas a week.
- **Watchlists and trend discovery:** Track news and events on holdings and uncover emerging niche bull markets within industries.

**Strengths:** Genuinely differentiated event-first approach to research; Transparent historical reaction data supports decision-making; Alerts reduce research time from hours to minutes; Level 2 adds human analyst ideas and hands-on training

**Limitations:** Subscription is expensive, especially monthly versus annual; Level 1 is very much DIY and is not a stock-picking advisory service; No automated trade execution, so discipline and capital management remain on you

[Profile (Markdown)](https://openaitools.app/tool/levelfields-ai.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 LevelFields AI and Salesforce Agentforce (formerly Einstein) compare in monthly traffic?

LevelFields AI has 12,434 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?

LevelFields AI has a month-over-month growth rate of -26%; Salesforce Agentforce (formerly Einstein) has +2.2%.

### How does pricing compare?

LevelFields AI: Paid. Paid subscription with two main tiers: a self-service Level 1 plan and a Level 2 plan that adds analyst alerts, training and SMS trade ideas. Monthly pricing is notably higher than annual, reflecting the front-loaded value of the data. 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 | [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) |
| 7 | [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) |
| 8 | [Aime](https://openaitools.app/tool/aime) | 260,428 | +11.4% | Freemium | AI investing copilot for stock research, screening and market signals | [.md](https://openaitools.app/tool/aime.md) |
| 9 | [Danelfin](https://openaitools.app/tool/danelfin-com) | 216,830 | -11.1% | Freemium | AI-driven stock scores that rank every pickable stock by probability of beating the market | [.md](https://openaitools.app/tool/danelfin-com.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/levelfields-ai-vs-salesforce-einstein

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