# Slang Ai

**Canonical:** https://apis.io/providers/slang-ai/  
**Website:** https://www.slang.ai/  
**APIs profiled:** 0

Slang AI is a voice-AI phone-answering and reservation platform for restaurants. Its customizable virtual phone agent answers every inbound call 24/7 in a natural, human-like voice, instantly responds to guest inquiries, and automatically manages reservations, with official integrations to OpenTable, SevenRooms, Tripleseat, Yelp, and Fishbowl. Founded by former Spotify data scientists, Slang AI reports 96%+ guest satisfaction (CSAT), 50% more phone reservations, and up to 200 staff hours saved per month. It is offered as a hosted SaaS product across Core, Premium, and Enterprise plans; at the time of profiling it exposes no public developer API, OpenAPI specification, SDKs, or developer portal.

## Kin Score — 16.6 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 16.6).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 47.4 |
| Access Clarity | 47.4 |

## 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)

- **Slang Ai Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC
- **Slang Ai Trust Center** — trust center published

## Tags

Company, Voice AI, Restaurant, Conversational AI, Reservations, Phone, Customer Experience, Hospitality

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