# Coval vs Salesforce Agentforce (formerly Einstein)

Coval records 161 monthly visits with -93.8% 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 | [Coval](https://openaitools.app/tool/coval) | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) |
| :--- | :--- | :--- |
| Website URL | https://www.coval.dev | https://www.salesforce.com/agentforce/ |
| Categories | AI Agent, AI Testing, AI Chatbot, AI Voice Assistants | AI App Builder, AI Developer Tools, AI CRM, No-Code&Low-Code |
| Pricing Model | Contact for Pricing | Freemium |
| Monthly Visits | 161 | 111,910,743 |
| MoM Growth Rate | -93.8% | +2.2% |
| Primary Market | India | United States |
| Direct Visits | 65 | 60,741,009 |
| Review Score | 4.6 | 4.4 |
| Saved Count | 0 | 20 |
| Supported Platforms | Website | Website |

## Coval

Coval is an evaluation and quality platform built specifically for voice AI agents — the automated phone assistants that handle support, banking, insurance, and booking calls. The pitch is simple and unglamorous: the riskiest call is the one you never tested, and a handful of manual QA calls will not surface the accents, interruptions, policy traps, and tool errors that decide whether an agent holds up at scale. Coval gives product, QA, operations, and compliance teams one measurement layer to answer that question with evidence rather than anecdotes.

The platform works as a three-part loop. Simulation runs thousands of realistic conversations against an agent before launch, covering personas, conversational turns, and hard policies. Observe runs evaluations against live production traffic to catch quality drift the moment prompts, models, workflows, or vendors change. Review routes the conversations that matter to human reviewers, whose judgments then sharpen the automated metrics for the following release — so every production insight becomes the next test.

Coval is aimed at teams putting voice agents in front of large customer bases. Its use cases are organised by industry — customer support, financial services, healthcare, hospitality, insurance, retail, and travel — as well as by build approach, with options for agent platforms, in-house builders shipping on LiveKit, Pipecat or custom stacks, and vendor bakeoffs. The company reports figures such as a 217% improvement in agent accuracy within seven days, 3.1 million evaluation metrics run weekly, and under 15 minutes to a first simulation via CLI, alongside documentation, an API reference, and a trust center.

**Pricing & Plans:** Contact for pricing. Coval offers a free trial and demo-based sales; specific plans are quoted based on usage and testing needs.

- **Voice AI simulation:** Pressure-test agents with thousands of realistic callers, accents, interruptions, noisy audio, and hard policy traps that manual QA cannot cover.
- **Production evaluations:** Run evaluations on live conversations to spot where resolution, safety, or customer experience is slipping before complaints arrive.
- **Human QA review loop:** Route the calls that matter to human reviewers and convert their judgment into sharper automated metrics for the next release.
- **Vendor and model bakeoffs:** Compare voice agent vendors and prompts side by side on the same behavioural criteria before deciding.
- **API, CLI and benchmarks:** Access documentation, an API reference, and benchmark data to integrate evaluations into existing CI/CD and observability pipelines.

**Strengths:** Covers pre-launch simulation, production monitoring, and human review in one loop; Industry-specific playbooks for support, finance, healthcare, insurance, retail and travel; Works with hosted agent platforms as well as in-house LiveKit or Pipecat stacks; Public benchmarks, API reference, and a trust center support self-evaluation

**Limitations:** Pricing is not published, so you must talk to sales to scope costs; Focused on voice agents rather than text-only LLM applications; Value depends on having enough call volume to justify continuous evals

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

Coval has 161 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?

Coval has a month-over-month growth rate of -93.8%; Salesforce Agentforce (formerly Einstein) has +2.2%.

### How does pricing compare?

Coval: Contact for Pricing. Contact for pricing. Coval offers a free trial and demo-based sales; specific plans are quoted based on usage and testing needs. 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 | [PolyAI](https://openaitools.app/tool/poly-ai-ai) | 319,894 | +24.3% | Contact for Pricing | Enterprise voice AI that resolves customer conversations | [.md](https://openaitools.app/tool/poly-ai-ai.md) |
| 9 | [Voiceflow](https://openaitools.app/tool/voiceflow-ai) | 272,253 | -18.1% | Freemium, Free Trial, Contact for Pricing | Build, test, and ship chat and voice AI agents for customer experience | [.md](https://openaitools.app/tool/voiceflow-ai.md) |
| 10 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |

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

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