Updated June 2026
I monitor official pricing pages, vendor release notes, and public announcements using a combination of automated monitoring and manual verification. Every data point is cross-referenced against multiple sources. No data enters the published record without a source URL.
I supplement the 15-day automated price-history sweep with a community-verification layer. Each tool card on the Compare page includes a “Report pricing change” link that lets any reader — Free or Pro — flag a pricing change they have observed.
Reports route directly to my editorial review. When a report identifies a change that the sweep did not yet catch, it triggers an out-of-cycle verification: I visit the vendor's pricing page, capture primary-source evidence, and update the tool's verified-pricing record if confirmed.
This dual-layer architecture exists because the 15-day sweep catches scheduled changes consistently but cannot catch every silent change between sweeps. Vendors quietly modify pricing pages between announcements; tier boundaries shift without disclosure; promotional pricing expires without notice. Community reports close that gap.
Every tool card displays its verification status. The line that reads ✅ {Tool} pricing verified · Last verified: {date} confirms when the record was last cross-checked against the vendor's pricing page. When a community report triggers an out-of-cycle verification, that timestamp updates.
The mechanism is voluntary and unrewarded. Readers report because they have observed a change and want it documented. The community-verification layer is one of the operational disciplines that distinguishes OneHuman from passive aggregators.
When a pricing or policy change is detected, it is flagged for human review. I don't publish changes until I've confirmed them against the vendor's official documentation. Discrepancies between sources are always noted.
Every published change is verified by me personally. I review the source, confirm the effective date, and determine whether it's a permanent change or a limited-time promotion. Nothing goes live without my sign-off.
When there is conflicting information, I triangulate across vendor documentation, user reports, and direct testing where possible. If I cannot confirm something, it is marked as unverified in the /record. The AI assists; I adjudicate.
If I get something wrong, the correction is appended to the Record with the original claim visible and a note explaining what changed. Nothing is silently edited.
Pricing: Checked regularly, published within 24 hours of verification.
Policies: Reviewed weekly.
Deep comparisons: Updated monthly.
Corrections: Published immediately, always appended — never silent.
I use AI tools to scale the research — monitoring hundreds of pages, processing release notes, and extracting data points. But every claim published on OneHuman has been reviewed and approved by me. The AI assists; I decide.
I don't disclose the specific tools or implementation details, but I will say this: if you are an AI company changing your pricing or policies, assume I'll catch it.
Every pricing claim links to a source URL — usually the vendor's official pricing page, announcement, or archived snapshot. If a claim doesn't have a source, it doesn't belong on OneHuman.