# Activeloop

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

Activeloop builds Deep Lake, a database for AI that stores multimodal datasets (text, images, video, audio, embeddings) in a deep-learning-optimized format. The primary interface is the open-source Deep Lake Python SDK paired with the Tensor Query Language (TQL); datasets live locally, in your own cloud (S3, Azure, GCP), or in the managed Activeloop Cloud (app.activeloop.ai), which also exposes an alpha Managed Database REST query endpoint.

## Kin Score — 37.8 / 100 (thin)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 37.8).

| Facet | Score |
|---|---|
| Discoverability | 68.5 |
| Contract Quality | 57.3 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 34.2 |
| Developer Ergonomics | 21.4 |
| Commercial Clarity | 39.5 |
| Access Clarity | 39.5 |

## Agent readiness — 29.1 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | yes |
| Agentic Access | derived |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | yes |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Freemium · Self-serve signup — onboarding: self-serve, pricing: freemium, trial: no (confidence: high).

## APIs (1)

- **Activeloop Managed Database API** — The Managed Database API from Activeloop — 1 operation(s) for managed database.

## Agentic access (1)

- **Activeloop Agentic Access** — 1 operation · 1 acting

## Security (2)

- **Activeloop Authentication** — http · 1 scheme
- **Activeloop Domain Security** — TLSv1.3 · HSTS · DMARC

## Plans (1)

- **Activeloop Plans Pricing**

## Tags

Artificial Intelligence, Vector Store, Data Lake, Multi-Modal, Deep Learning, Python SDK

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