# Audos

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

Audos is a New York-based AI-native startup studio and "publishing house for everyday entrepreneurs," founded in 2024 by Henrik Werdelin and Nicholas Thorne (the team behind Prehype, BarkBox, Ro, and Managed by Q). It helps non-technical solo founders turn expertise into million-dollar AI businesses, giving them AI-powered business-building tools, up to $25,000 in funding, and paid-social distribution in exchange for a ~15% revenue share, aiming to launch startups at massive scale. Audos raised an $11.5M seed round led by True Ventures (with backing from Niklas Zennstrom) and acquired No Cap. Its product surface is a consumer/entrepreneur web platform; the api.audos.com backend is private and auth-gated, with no public developer API, documentation, or SDKs at this time.

## Kin Score — 5.0 / 100 (minimal)

Scored 2026-08-17 under rubric 0.11.0. Trend: flat (+0.0 from 5.0).

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

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | 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)

- **Audos Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Ai, Startup Studio, Venture Studio, Entrepreneurship, AI Agents, No-Code

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