HUNTB-385 is a designation that can refer to a specific product model, project code, regulatory item, or research identifier depending on context. Below is a practical, reader-friendly overview designed to work whether you’re encountering HUNTB-385 as a piece of hardware, a research protocol, or a project code—so you can quickly grasp likely meanings, evaluate relevance, and act.
| Question | Answer | |----------|--------| | Do I need a data‑science team to use HUNTB‑385? | No. The platform ships with a pre‑trained model. You can optionally upload a custom model via the Model Registry if you have specialized data. | | How does HUNTB‑385 handle GDPR / privacy? | All user vectors are , stored for a maximum of 30 days, and encrypted at rest. You can opt‑out per user via the consent API. | | What’s the cost impact? | The engine runs on shared compute. Pricing is based on personalization‑calls (first 1 M calls/month are free; $0.0002 per extra 1 k calls). | | Can I test the engine without affecting live traffic? | Yes. Use the X‑Huntb‑Sandbox: true header to route requests to a sandbox model version. | | Is there a rollback plan? | Switching the toggle back to Off instantly reverts to the legacy static engine. All data is retained for later analysis. | HUNTB-385