Data on Demand

✓ verified, sync 2026-08-20

10 checks on record, most recent 2026-10-26 (responded).

Community scorenot yet rated

First indexed2026-08-20

Observation record.

What was checked ourselves, with dates. Not vendor copy, not a rating.

Address confidence: low. The URL on file may not be Data on Demand's own domain (for example a marketplace or parked host). The dates below describe checks against that URL; the link between that URL and Data on Demand itself is not confirmed.

Most recent check 2026-10-26

Result: responded.

Checked on 10 distinct dates, since 2026-09-02. Checked roughly every 6 nights on this listing's own record.

2026-10-262026-10-202026-10-192026-10-142026-10-082026-10-022026-09-262026-09-202026-09-142026-09-02

What this means: the 3-miss rule marks a listing discontinued only after three consecutive failed checks; a bot-wall response never counts toward that streak. the methodology

Price events.

auto-diffed on every sync: the changelog other directories don't keep

The price was checked on 2026-10-19 and no change was observed since.

No approved price events on record

No approved price change is on record.

What it does.

The vendor's own description, unedited, not our claim.

Data on Demand is a generative AI platform focused on providing actionable business insights. It integrates and manages data from diverse sources on a single platform, facilitating smooth AI workflows. The tool allows users to effortlessly extract relevant data from different sources. It conducts in-depth analysis of patterns, trends, and anomalies, translating sophisticated datasets into easy-to-understand visual representations, such as charts and graphs. Moreover, Data on Demand provides actionable recommendations based on its analysis. It benefits businesses by reducing their dependence on specialized personnel as it enables users to independently extract and interpret valuable insights. The tool offers real-time insights and integrates efficiently with existing systems without requiring extensive overhaul. Through predictive analytics, it can forecast future demand using historical sales data, seasonality, and external factors, optimizing operational efficiency across sectors like eCommerce, Logistics, Finance, Consumer Produced Goods, and Manufacturing.

registry ID ndock:tool:data-on-demand