# Karma Science

**Canonical:** https://apis.io/providers/karma-science/  
**Website:** https://karmanow.com  
**APIs profiled:** 0

Karma (Karma Science, karmanow.com) is a consumer shopping-assistant platform delivered as a browser extension and mobile app that helps people shop smarter. Founded in 2015, it serves roughly 6.5 million users with automatic coupon finding at checkout, price-drop and back-in-stock tracking, cross-retailer wishlists, and cash-back rewards across major merchants including Amazon, Apple, Nike, Target, and Nordstrom. The company also offers an Embedded Loyalty and partnerships program for retailers. Karma is a Kleiner Perkins-backed consumer company; as surfaced through the API Evangelist enrichment pipeline it publishes consumer product surfaces (apps, help center, blog) but no public developer API, SDK, or developer portal.

## Kin Score — 10.6 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 10.6).

| 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 |

## 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)

- **Karma Science Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Consumer, Shopping, E-Commerce, Coupons, Cashback, Loyalty, Browser Extension

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