# ApnaMart

**Canonical:** https://apis.io/providers/apnamart/  
**Website:** https://apnamart.in/  
**APIs profiled:** 0

ApnaMart (Apna Mart) is a Bengaluru-based Indian retail and quick-commerce company founded in 2022 by Chetan Kumar Garg and Abhishek Singh. It operates a network of franchise-model neighborhood grocery and FMCG stores combined with a 15-minute delivery app, serving customers across roughly 14 cities including tier-2 and tier-3 markets such as Ranchi, Hazaribagh, and Bilaspur. Backed by Accel, Peak XV, and Fundamentum, the company blends brick-and-mortar retail with on-demand delivery of daily essentials. ApnaMart is a consumer retail business and does not publish a public developer platform or API surface; this profile in the API Evangelist network captures its identity, domain-security posture, and published web properties.

## Kin Score — 7.6 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 7.6).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

## 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)

- **Apnamart Domain Security** — TLSv1.3 · HSTS

## Tags

Company, Consumer, Retail, Grocery, Quick Commerce, E-Commerce, Delivery, India

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