# DataBahn.ai

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

DataBahn.ai provides an agentic data control plane that automates, enriches, and governs enterprise telemetry for security, observability, and AI use cases. The platform unifies data ingestion, enrichment, routing, and AI‑ready preparation, offering products like Data Pipeline, Federated Search, and Autonomous In‑Stream Data Intelligence, while integrating with major security and cloud tools.

## Kin Score — 12.9 / 100 (emerging)

Scored 2026-10-23 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 60.7 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 14.3 |
| Access Clarity | 21.1 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 13.7 (matched via fallback).

## 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## APIs (1)

- **DataBahn AI API** — DataBahn.ai provides an agentic data control plane for enterprise telemetry, but no machine‑readable API contract was found.

## Security (1)

- **Databahn Ai Domain Security** — TLSv1.3 · DMARC

## Tags

Data Pipeline, Security, Observability, AI Agents, Edge Telemetry, Data Fabric, SIEM Optimization, Federated Search

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