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.

What are alternatives to LevelFields AI and Salesforce Agentforce (formerly Einstein)?

Other tools in related categories include Zapier, Intercom, Gong – Revenue AI OS, MindStudio, Attio.

LevelFields AI vs Salesforce Agentforce (formerly Einstein) — Traffic (12.43K vs 111.91M), Pricing & Verdict

Open AI Tools

LevelFields AI vs Salesforce Agentforce (formerly Einstein) — Traffic (12.43K vs 111.91M), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	LevelFields AI	Salesforce Agentforce (formerly Einstein)
Official Domain	levelfields.ai	salesforce.com
Pricing Model	Paid	Freemium
Monthly Visits	12.43K (12,434)	111.91M (111,910,743)
MoM Traffic Delta	-4.37K (-26%)	+2.4M (+2.2%)
Primary Market & Share	🇺🇸 United States (76.2%)	🇺🇸 United States (43%)
Direct Visits / mo	4.29K	60.74M
User Rating	4.2	4.4
Supported Platforms	Website	Website

LevelFields AI

AI stock alerts driven by real market catalysts

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.

Strengths & Pros

+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

Frequently Asked Questions: LevelFields AI vs Salesforce Agentforce (formerly Einstein)

LevelFields AI has 12,434 monthly visits, while Salesforce Agentforce (formerly Einstein) has 111,910,743. Traffic estimates describe audience size, not product quality.

More Head-to-Head Matchups

LevelFields AI vs Zapier

5.08M visits/mo

Salesforce Agentforce (formerly Einstein) vs Zapier

116.98M visits/mo

Intercom vs LevelFields AI

4.48M visits/mo

Intercom vs Salesforce Agentforce (formerly Einstein)

116.38M visits/mo

Gong – Revenue AI OS vs LevelFields AI

2.35M visits/mo

Gong – Revenue AI OS vs Salesforce Agentforce (formerly Einstein)

114.25M visits/mo

Best Alternatives to LevelFields AI & Salesforce Agentforce (formerly Einstein) (12)

Salesforce Agentforce (formerly Einstein)

Autonomous enterprise AI agents and CRM intelligence powered by Salesforce Data 360 and Atlas.

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.

Strengths & Pros

+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.