# AirKit

**Canonical:** https://apis.io/providers/airkit/  
**Website:** http://www.airkit.com  
**APIs profiled:** 0

AirKit (Airkit.ai) was a low-code platform for building customer-facing digital experiences and, later, AI-powered customer service agents, backed by Accel and Emergence Capital. The company was acquired by Salesforce (announced 2023) and its technology now underpins Salesforce Agentforce. As of this enrichment pass, www.airkit.com 301-redirects to salesforce.com/agentforce and the domain's CAA records point to salesforce.com, so AirKit no longer operates an independent developer surface, API, documentation, or portal of its own — all first-party discovery URLs resolve into Salesforce properties. This profile is retained as an acquired-company record; enrichment beyond domain-level DNS/TLS evidence is not applicable.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 5.0).

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

## 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)

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

## Tags

Company, Automation, Low-Code, Customer Experience, Conversational AI, Acquired, Salesforce

---

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