# Arivihan

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

Arivihan is an Indian EdTech company operating an AI-based, fully automated online learning platform that gives each K-12 school student a personalized "tutor in their pocket." It targets low- and middle-income families and students in Tier 2+ cities, delivering interactive, personalized lectures and doubt resolution in vernacular languages at roughly 10% of typical coaching fees. Products include the DoubtBuzzter mobile app and the tutor-prod / InstantGuru doubt-resolution web platform. The company was surfaced as a portfolio company of accel and prosus-ventures. No public API or developer surface was found during enrichment; this remains a consumer-facing product profile.

## Kin Score — 10.4 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 10.4).

| 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 | 21.1 |
| Access Clarity | 21.1 |

Regulatory layer — **Education & Research**: 25.9 (matched via tags).

## 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)

- **Arivihan Domain Security** — TLSv1.2 · DNSSEC · DMARC

## Tags

Company, Artificial Intelligence, Education, EdTech, E-Learning, Online Learning, Tutoring, India

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