# Bilazann

**Canonical:** https://apis.io/providers/bilazann-com/  
**Website:** https://bilazann.com/  
**APIs profiled:** 0

Bilazann provides AI‑safe data tools for businesses, offering two products – Waqi, a read‑only AI redaction layer for business applications, and Yaqeen, a data‑infrastructure service that consolidates numbers across systems. Their mission is to let owner‑led companies run on evidence instead of guesswork, ensuring personal data is redacted before AI models see it and delivering daily briefings and audit logs. The platform emphasizes privacy, security, and transparent AI usage for decision‑making.

## Kin Score — 9.2 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 6.0 |
| Access Clarity | 17.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.1 (matched via fallback).

## Agent readiness — 3.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

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

## Security (1)

- **Bilazann Com Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Artificial Intelligence, Data, Privacy, Business

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