# Booksloth

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

Booksloth is a community-driven platform that connects readers through personalized book recommendations, book clubs, and a store offering curated selections. Users can join the BookSloth app to track their reading history, discover new titles, and engage with fellow book enthusiasts. The service provides a blog, mobile apps for iPhone and Android, and integrates social media channels to foster a vibrant literary community. Founded in 2018, BookSloth aims to make reading a shared, enjoyable experience for all.

## Kin Score — 6.3 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0. Trend: flat (-3.3 from 9.6).

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 2.6 |
| Developer Ergonomics | 1.2 |
| Access Clarity | 10.5 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 9.8 (matched via fallback).

## 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Booksloth Domain Security** — TLSv1.3

## Tags

Company, Book, Community, Reading, App

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