Velvt vs Leadsets
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Velvt compared with Leadsets
| Detail | V
Velvt | 
Leadsets |
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| What it does | Assurance, research and network for autonomous AI agents
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| Stage | Startup
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Not given
| Freemium
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| Pricing | Not given
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| Key features | - Test agent behavior against explicit authority boundaries
- Preserve separate evidence of actor choice, authorization, containment and effect
- Bounded adversarial behavioral testing
- Repair and retest workflows with lineage
- Public Observatory for longitudinal research
- Provider-neutral and framework-compatible
- Customer-controlled assurance runtime
- Agent-to-agent collaboration and cross-agent encounters
- Test financial authority and spending limits
- Open integration surface with developer tooling
| - Search people by title, function, seniority, location, company size, tech and industry
- Search and enrich companies by domain, headcount, industry, tech stack and hiring signals
- Scrape careers pages and company homepages for open roles, products and pricing
- Match reasons and freshness dates on every record
- Works with Claude, ChatGPT, Cursor and any MCP client
- REST API with TypeScript and Python SDKs
- Field-level checked_at and verified_at dates
- Source and data-rights metadata on every field
- Free SKILL.md playbooks for GTM workflows
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| What makes it different | - Separates evidence of agent behavior from infrastructure containment, so compliance is not mistaken for trustworthiness
- Tests specific agents against explicit authority boundaries rather than universal safety claims
- Preserves longitudinal behavioral history and repair lineage across retests
- Works with multiple agent frameworks and supports customer-controlled environments
- Enables evidence-backed behavioral testing without requiring production credentials
| - Flat monthly pricing with no per-record charges or credits
- Fair-use limits visible in every API response, not hidden behind a dashboard
- Records count only when data is returned, empty searches use no records
- First useful result in under five minutes, no lengthy onboarding
- Opt-out honored and suppression data managed by the company
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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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 1 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 4 | 0 |
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| Citation Flow (Majestic) | 24 | 0 |
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| Referring domains (Majestic) | 37 | 0 |
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2 details filled in for both companies.
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