# Bible Chat

**Canonical:** https://apis.io/providers/bible-chat/  
**Website:** https://thebiblechat.com/  
**APIs profiled:** 0

Bible Chat is a faith-focused consumer mobile application built by Soulstream, a Romanian startup founded in 2023 by Laurentiu Balasa and Marius Iordache, that pairs AI-guided conversation with Scripture to help people study the Bible and grow spiritually. Features include topical Bible verses, guided Bible lessons, a faith Q&A assistant, verse of the day, a Bible glossary, and podcast and blog content, delivered through iOS and Android apps. It is marketed as "the #1 Faith App in the World." This profile was surfaced as a portfolio company of True Ventures and is maintained in the API Evangelist network; the company publishes a consumer product and does not currently expose a public developer API.

## 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)

- **Bible Chat Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Consumer, Bible, Christianity, Faith, Artificial Intelligence, Mobile App, Spirituality

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