Trust resource
Know when each returned field was observed or reviewed.
Different fields may come from different public sources and dates. Kaiju keeps the relevant observation or review date close to the returned value so a user can decide whether it is still useful.
- Observation dates
- Review context
- Source-specific freshness
- Stale results made visible
Example freshness record
A concrete record, not an abstract claim
- Technology observed
- 2026-07-17
- Finding reviewed
- 2026-07-18
- Company field reviewed
- 2026-07-15
- Result status
- Ready to inspect
- Published
- Jul 20, 2026
- Last reviewed
- Jul 22, 2026
- Reviewed by
- Kaiju research team
- Applies to
- Current CSV company-research product
Observation date
Record when the public signal was seen
A current-looking label without a date is difficult to evaluate.
- 1Keep the time the page, script, request, header, or other signal was collected.
- 2Keep the website and page context connected to the observation.
- 3Do not imply that a later export date means the website was checked again.
Field freshness
Different fields can age differently
Technology evidence, company attributes, and reviewed conclusions may not share one date.
- 1Show the date relevant to each field rather than one decorative record timestamp.
- 2Keep stale values visible when a newer check has not completed.
- 3Define when a field should be checked again based on how it will be used.
Using older results
Match freshness requirements to the decision
Not every decision requires the same recency.
- 1Initial market research may tolerate older observations.
- 2Time-sensitive outreach or migration research may require a newer check.
- 3High-impact automated actions should require explicit freshness rules.
Continue the evaluation
Follow the next question behind the result.
Move from one trust concern to the methodology, product explanation, or limitation that helps your team decide whether the data is safe to use.
Test the method
Review freshness using companies you know.
Compare observation dates, returned technology findings, and result status with companies your team already understands.