# Textio

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

Textio is an augmented-writing platform that uses AI to help managers and HR teams write clearer, more actionable, and less biased performance feedback, recruiting outreach, and job posts. Used by 100,000+ managers at companies including T-Mobile, NASDAQ, Strava, and Upwork, Textio analyzes tone and language as people write and flags biased, low-impact, or unclear phrasing in real time. It is delivered as a web application with browser and editor integrations. Probing textio.com found no public developer API, OpenAPI specification, SDKs, developer portal, or .well-known discovery documents (the site is a HubSpot-hosted single-page app that serves a soft-404 shell for all such paths); api.textio.com exposes only an application health check. Textio does operate a public system status page.

## Kin Score — 7.1 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.1).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 15.8 |
| 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).

## Tags

Company, Augmented Writing, HR Tech, Recruiting, Inclusive Language, Feedback, AI Writing, Talent

---

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