Activeloop Rate Limits
Deep Lake's primary interface is the open-source Python SDK operating against local or self-managed cloud storage, where throughput is bounded by your own storage and compute rather than a provider rate limit. The managed Activeloop Cloud and its alpha Managed Database REST query endpoint (https://app.activeloop.ai/api/query/v1) are gated by account tier and an ACTIVELOOP_TOKEN; Activeloop does not publish specific per-account request or query rate limits. Values are not reconciled in this artifact.
Activeloop Rate Limits is the machine-readable rate-limit profile for Activeloop on the APIs.io network, conforming to the API Commons Rate Limits specification.
It captures 4 rate-limit definitions, measuring requests, queries, and storage.
The profile also includes 2 backoff/retry policies defined and response codes documented for throttled.
Tagged areas include AI, Vector Store, Data Lake, Multimodal, and Deep Learning.
Limits
Policies
Sources
- https://docs-v3.activeloop.ai/examples/rag/tutorials/vector-search-options/rest-api
- https://github.com/activeloopai/deeplake
- https://deeplake.ai/pricing
Work with this as data
Every rate limit here is available over the APIs.io API and to AI agents over MCP.