# Dan Podina

**Canonical:** https://apis.io/providers/gqlteam-com/  
**Website:** https://gqlteam.com/  
**APIs profiled:** 1

Software architect Dan Podina leads GQLTeam SRL, offering GraphQL and Go backend solutions, AI‑built codebases, agentic systems, and regulated platform integrations. Based in Cluj‑Napoca, Romania, the company serves worldwide clients with expertise in microservices, event‑driven architecture, and compliance standards such as HIPAA, PCI‑DSS, SOC 2, GDPR, and the EU AI Act.

## Kin Score — 7.9 / 100 (minimal)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 67.9 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 9.5 |
| Developer Ergonomics | 2.4 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 10.9 (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)

- **GQLTeam API** — GraphQL consulting and services API as described on the provider's services page.

## Security (2)

- **Dan Podina Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC
- **Dan Podina Vulnerability Disclosure** — security.txt · contact published

## Tags

GraphQL, Go, Artificial Intelligence, Compliance, Microservices

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