# Double

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

Double is a New York-based future-of-work company that pairs busy executives and founders with highly vetted, US-based remote executive assistants, augmented by an AI copilot (Mingo) that helps assistants summarize tasks, draft communications, prompt follow-up questions, and report time. Founded in 2018 by the former Sunrise Calendar team (Alice Default, Christophe Lamperti, Pierre-Elie Fauche), Double delivers operations, marketing, scheduling, inbox, and administrative delegation through a managed platform and shared secure workflows built around a per-client 1Password vault. Double is not a public API provider; this API Evangelist profile tracks the company's public web properties and domain security posture.

## Kin Score — 12.7 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 12.7).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 7.1 |
| Commercial Clarity | 31.6 |
| Access Clarity | 31.6 |

## 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)

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

## Tags

Company, Future Of Work, Executive Assistant, Virtual Assistant, Productivity, Delegation, AI Assistant, Remote Work

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