# Entervista

**Canonical:** https://apis.io/providers/entervista-ai/  
**Website:** https://entervista.ai/  
**APIs profiled:** 1

Entervista provides an AI‑driven platform that enables businesses to become bookable by AI assistants. Companies can teach Entervista how their services work, set real pricing, and let AI assistants find and quote open slots for customers. The system handles only exceptions, allowing owners to focus on delivery while AI manages scheduling and inquiries. This modern approach streamlines bookings and expands reach through conversational AI.

## Kin Score — 15.1 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 66.1 |
| Contract Quality | 0.0 |
| Contract Governance | 4.5 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 14.3 |
| Access Clarity | 27.7 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 11.8 (matched via fallback).

## 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 |
| 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).

## APIs (1)

- **Entervista API** — Local businesses set up for AI agents. Search, read real prices, order/quote/book, human approves, business confirms.

## Security (1)

- **Entervista Domain Security** — TLSv1.3

## Tags

Company, Artificial Intelligence, Booking, Platform, Automation

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