# DiscountHub

**Canonical:** https://apis.io/providers/discounthub-uz/  
**Website:** https://discounthub.uz/  
**APIs profiled:** 1

DiscountHub is an AI-powered deal finder that searches current product discounts, promo codes, and partner offers across multiple online stores. Users can describe what they need and the AI scans deals in real time, or browse curated lists manually. No account or registration is required to access the service.

## Kin Score — 14.8 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 26.2 |
| Access Clarity | 21.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 12.7 (matched via fallback).

## Agent readiness — 2.9 (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 | yes |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Open access — onboarding: open, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **DiscountHub MCP** — Public MCP endpoint for AI assistants to access deals, promo codes and store offers.

## Security (1)

- **Discounthub Uz Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Artificial Intelligence, Discounts, Promo Codes, Deals

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