# MaxRewards

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

MaxRewards is a consumer credit-card rewards app for iOS and Android that helps people manage their credit cards and maximize the rewards they earn on everyday spending. It links a user's cards, tracks spending, automatically activates card-linked offers, surfaces personalized card recommendations, compares credit cards by rewards rate and welcome offer, and monitors credit scores — all in one place — so cardholders earn more cash back and points with less manual effort. MaxRewards is an Atlanta-based fintech backed by Techstars. It is a consumer product company: it publishes a public marketing site and an internal app API, but does not currently expose a public developer API, OpenAPI, SDKs, or a developer portal.

## Kin Score — 8.3 / 100 (minimal)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 8.3).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Commercial Clarity | 27.6 |
| Access Clarity | 27.6 |

Regulatory layer — **Payments**: 12.5 (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).

## Tags

Company, Fintech, Credit Cards, Rewards, Personal Finance, Consumer App, Cashback, Techstars

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