HP · Rate Limits

Hp Rate Limits

HP does not publish numeric rate limits on its developer portal for the HP Workforce Solutions Analytics API or HP PrintOS Device API. Limits are enforced behind the scenes per OAuth2 client / tenant consistent with the underlying service contract; partners exceeding fair-use thresholds are contacted directly. The PrintOS Device API is provisioned per device and inherits per-device telemetry limits set by HP Indigo product-line policies.

Hp Rate Limits is the machine-readable rate-limit profile for HP on the APIs.io network, conforming to the API Commons Rate Limits specification.

It captures 2 rate-limit definitions, measuring requests_per_minute.

The profile also includes 5 backoff/retry policies defined.

Tagged areas include Rate Limiting, Device Management, and Printing.

2 Limits
Rate LimitingDevice ManagementPrinting

Limits

HP Workforce Solutions Analytics API oauth_client + tenant
requests_per_minute
not publicly published; fair-use enforcement
Tenant-scoped under OAuth2; pace polling consistent with documented data-refresh cadence (typically hourly / daily aggregations).
HP PrintOS Device API device
requests_per_minute
not publicly published; per-device telemetry policy
Device-scoped status and operations calls; telemetry frequency governed by HP Indigo product policy.

Policies

OAuth2 Authentication
All API calls require an OAuth2 access token obtained against tenant credentials. Refresh tokens have provider-defined lifetime.
Fair-Use Enforcement
Sustained traffic that materially exceeds expected polling cadence may trigger throttling or partner outreach.
Backoff Strategy
Implement exponential backoff with jitter on 429 / 503 responses; honor Retry-After header when present.
Polling Cadence
Aggregated analytics data is refreshed on hourly / daily cadences; polling more frequently yields no new data and risks throttling.
Contract-Bound Access
Production credentials are issued only to tenants with an active HP Active Care / Proactive Insights / PrintOS contract. Limits scale with the contract size.

Sources