# DataClawe

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

DataClawe is a database translation engine connecting humans, AI, and enterprise systems. It enables legacy MySQL/PostgreSQL, on‑prem infrastructures, and monolithic software to interact with AI agents, LLM pipelines, vector search, and cloud‑native services without rewriting original systems. The platform offers schema abstraction, tenant‑isolated vaults, query translation, and AI‑ready extraction, positioning itself as critical infrastructure for enterprises adopting AI.

## Kin Score — 3.7 / 100 (minimal)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 44.6 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (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).

## Security (1)

- **Dataclawe Com Domain Security** — TLSv1.3

## Tags

Database, Artificial Intelligence, Enterprise, Legacy Systems, Translation

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