Datacrunch Rate Limits
The DataCrunch Public API at https://api.datacrunch.io/v1 is gated by OAuth2 Bearer access tokens scoped to cloud-api-v1. Practical limits are driven by resource quotas (available GPU capacity per location, account spend/credit balance, and per-project instance/volume allowances) rather than published fixed request-per-minute numbers. Serverless container deployments enforce autoscaling bounds via min/max replica counts and queue limits per deployment. Specific numeric API request rate limits are not publicly documented and are not reconciled in this artifact.
Datacrunch Rate Limits is the machine-readable rate-limit profile for DataCrunch on the APIs.io network, in the API Commons Rate Limits shape.
It captures 5 rate-limit definitions, measuring requests, instances, credit, replicas, and messages.
An exhausted limit returns HTTP 429.
This profile was written by API Evangelist and has not been verified against a page the provider published; treat every limit as unconfirmed until a dated transcription replaces it.
The profile also includes 3 backoff/retry policies defined and response codes documented for throttled.
Tagged areas include GPU Cloud, Infrastructure, Compute, Inference, and Serverless.
generated, dated 2026-06-21.
Limits
Policies
Sources
- https://api.datacrunch.io/v1/docs
- https://docs.datacrunch.io/
- https://docs.datacrunch.io/containers/scaling
Work with this as data
Every rate limit here is available over the APIs.io API and to AI agents over MCP.