# Vespucci

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

Vespucci (Vespucci Analytics) is a product-analytics platform that helps teams understand why their users engage with a product. Rather than replacing existing analytics, it connects to the event data companies already collect in Amplitude or Segment (via Reverse ETL) and applies statistical and AI models to automatically surface the drivers of activation, retention, churn, and engagement. It provides 24/7 monitoring with automated alerts when behavioral patterns shift, user segmentation, and story-style dashboards, and can push identified segments to activation tools such as OneSignal, MailChimp, and Brevo. Founded in 2021 and based in Brussels, Belgium, Vespucci is backed by Seedcamp.

## Kin Score — 10.1 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 10.1).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 4.8 |
| Commercial Clarity | 17.1 |
| Access Clarity | 17.1 |

## 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)

- **Vespucci Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Analytics, Product Analytics, Data, Machine-Learning, User Behavior, Segmentation, Software-as-a-Service

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