# Feedbk

**Canonical:** https://apis.io/providers/feedbk-ai/  
**Website:** https://feedbk.ai/  
**APIs profiled:** 1

Feedbk provides AI‑moderated interview platforms for market research, enabling faster qualitative insights through automated conversation, transcription, and analysis. Founded in 2024 in Germany, the service offers flexible interview tools, full‑service participant recruitment, and secure, GDPR‑compliant data handling, targeting agencies and researchers seeking rapid, AI‑driven feedback.

## Kin Score — 8.4 / 100 (minimal)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 57.1 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Access Clarity | 17.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 7.3 (matched via fallback).

## Agent readiness — 3.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 |
| 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

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **Feedbk API** — API for Feedbk platform providing interview moderation services. Documentation is at the developer portal.

## Security (1)

- **Feedbk Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Artificial Intelligence, Interview, Market Research, GDPR

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