# Podqi

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

Podqi is an AI-native intellectual property and brand protection platform that automatically detects and removes brand infringements across digital platforms. It scans major marketplaces, storefronts, and domains for counterfeit listings, stolen imagery, fake products, and copycat sites, then packages evidence and files takedowns at scale with minimal human intervention. The company reports roughly 95% AI automation with same-day detection and an average resolution time of about 1.2 days, and also operates Brandsweep.ai, a free public brand-protection scanning tool. Podqi serves brand owners, entertainment and creative companies, e-commerce sellers, and law firms. It was surfaced as a portfolio company of General Catalyst and added to the API Evangelist network; as of this enrichment pass Podqi publishes no public API, developer documentation, or SDK surface.

## Kin Score — 8.5 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 8.5).

| 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 | 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)

- **Podqi Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Company, Brand Protection, Intellectual Property, Anti-Counterfeiting, Artificial Intelligence, Trust and Safety, E-Commerce, Content Enforcement

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