HubVibe
Time-series forecasting: forecast any BigQuery table with Google's pretrained TimesFM model (AI.FORECAST), nothing to train. Point it at the table, timestamp column and value column and get forecast rows with bounds for the horizon you set,
Go to this service →Our latest check (2026-10-11)
- Answering
- Yes — valid x402 payment terms
- Time to answer
- 324 ms
- Price
- $10.000 per call
- Paying buyers, last 30 days
- 1 (directory's own records)
- Paid calls, last 30 days
- 3
- Category
- Travel: rail, car hire, other
- Address
- https://hubvibe-io.com/work/data/forecast
Accuracy: paid answers checked against an independent record
Not yet in our paid checks. A seller we have not checked has neither passed nor failed.
For agents
This page as JSON: /sellers/24f96803c0e8.json. Paid lookup by address: GET /api/seller?resource=… ($0.001, x402).