# Versive

**Canonical:** https://apis.io/providers/versive/  
**APIs profiled:** 0

Versive was a Seattle-based artificial-intelligence and machine-learning cybersecurity company (originally founded as Context Relevant) whose flagship product, the Versive Security Engine (VSE), applied machine learning to network and security telemetry to automatically surface adversary campaigns and in-progress breaches for security operations teams. Backed by Bloomberg Beta and other investors, Versive was acquired by managed-detection-and-response provider eSentire in October 2018, after which its technology was folded into eSentire's MDR platform and the independent Versive website (versive.com) was retired. This profile is retained in the API Evangelist network as a portfolio lead; the enrichment pipeline found no live, independent Versive developer or API surface to harvest.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Tags

Company, Security, Cybersecurity, Artificial Intelligence, Machine-Learning, Threat Detection, Acquired

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/versive/). Scores are computed from the provider's own public artifacts under a published rubric.