Vivgrid vs Endgame
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Vivgrid compared with Endgame
| Detail |
Vivgrid |
Endgame |
| What it does | The Managed Skills Platform for AI Agents
| Context graph for AI-native revenue teams
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| Stage | Not given
| Established
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| Founded | Not given
| 2021
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| Based in | US
| Not given
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| Pricing model | Freemium
| Contact for pricing
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| Pricing | Free plan with pay-as-you-go model usage, 5M TPM / 100 RPM rate limits. Growth plan: $25/month with $25 in token credits included, 15M TPM / 3,000 RPM rate limits. Enterprise plan: custom, volume-based pricing with BYOC, SSO/SAML, custom SLAs, VPC and private deployments.
| Not given
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| Key features | - Managed Skills with instant deployment to all agents
- Agent observability and debugging across all decisions
- Globally distributed inference with low latency
- Safety guardrails and agent evaluation
- Multi-agent orchestration with stateful memory
- Centralized security and access control
- Support for multiple frontier LLM models
- Real-time cost and performance insights
- Agent Insights dashboard
| - One context layer connecting all GTM tools and AI agents
- Agent observability with end-to-end tracing
- Source citations for every answer
- Permission-aware answers scoped to user access levels
- Playbook grounding to enforce business semantics
- Corrections inbox for agent-generated changes
- Integration with Claude, ChatGPT, Slack, Salesforce and other tools
- Open Model Context Protocol (MCP) for any client
- SOC 2 Type II compliance and GDPR/CCPA support
- 140x faster answers via pre-compiled context
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| What makes it different | - Ship agent improvements in minutes instead of release cycles
- Centralized skill management without requiring redeploy
- Complete visibility into agent decisions for fast debugging
- Proven safe releases with guardrails before production
- No infrastructure expertise required to deploy agents at scale
| - 40x lower cost through pre-compiled context vs raw data processing
- 98% answer accuracy with no hallucinations through checked data
- Agent-agnostic: works with any AI tool your team uses
- Never trains on customer data with enterprise-grade security
- Set up within days with forward-deployed engineer support
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 39 ▼ −1 (down) since last check | 48 ▼ −2 (down) since last check |
| Trust Flow (Majestic) | 25 | 8 |
| Citation Flow (Majestic) | 38 | 35 |
| Referring domains (Majestic) | 2622 | 323 |
4 details filled in for both companies.
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