# Rwazi

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

Rwazi is a hyper-local market intelligence and Decision AI platform whose product, Sena, combines a company's internal business data with real-world consumer signals from 190+ countries — who is buying what, for how much, from where, when, and why — using consumer activity data, computer vision, zero-party data collection, and 250+ third-party integrations to inform marketing, sales, product, strategy, and growth decisions. Rwazi is a Techstars-backed company added to the API Evangelist network. This profile has been enriched from public web sources; at the time of enrichment Rwazi published no self-service developer API, OpenAPI, or public API reference — onboarding is enterprise, demo-driven, and account-based.

## Kin Score — 10.6 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 10.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 21.1 |
| Access Clarity | 21.1 |

## 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 (1)

- **Rwazi Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Market Intelligence, Consumer Data, Decision AI, Analytics, Emerging Markets, Data Provider

---

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