# Closure

**Canonical:** https://apis.io/providers/closure/  
**Website:** https://www.closure-intel.com/  
**APIs profiled:** 0

Closure (Closure Intelligence, Inc.) builds an AI-powered digital analyst platform for law enforcement agencies that securely transcribes, translates, searches, organizes, and analyzes case evidence — jail communications, warrant returns, and large multi-lingual case files — to help investigators overcome evidence overload and resolve homicides and cold cases. The platform runs under a zero-access security model with SOC 2 Type II, CJIS, and HIPAA compliance. Backed by CRV. No public API or developer program is currently published.

## Kin Score — 8.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 8.0).

| 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 | 15.8 |
| Access Clarity | 15.8 |

Regulatory layer — **Government & Public Sector**: 20.4 (matched via tags).

## 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).

## Security (2)

- **Closure Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC
- **Closure Trust Center** — SOC 2 Type II, CJIS, HIPAA

## Tags

Company, Artificial Intelligence, Law Enforcement, Public Safety, Evidence Analysis, GovTech, Security, Compliance

---

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