AiRecMark/Intelligence/Use case coverage
G-03 · Use case coveragearchive-recorded · snapshot 2026-09-17

Research Use Cases & Weights

The recorded use-case layer of the research category. Population: 56 archives in the Research category, contributing 166 recorded entries and 144 distinct strings.

Key numbers

Archives in scope
56
data/tools · N=448
Recorded entries
166
finder.useCases[] · N=56
Tools with entries
56
finder.useCases · N=56
Distinct strings
144
finder.useCases[].useCase · N=166
Top string
Long-document reasoning (12)
frequency · N=166

Most frequent use-case strings

exact-string frequency within the scoped categories

#Use case (as recorded)EntriesAvg weight
1Long-document reasoning128
2Multi-source synthesis with citations129
31 credit per page to clean markdown.110
4Academic evidence search110
5Academic language editing18
6Academic Publishing Workflows110
7Ad-free, tracker-free results feed the assistant.18
8AI-ranked results across 238M+ papers.110
9Alerts when connected research changes.19
10Android/mobile-first AI use18
11Answers grounded in paper libraries.110
12API/framework quick lookups in flow19

Weight distribution

w=63w=78w=851w=949w=1055

Recorded entry weights (1–10) within the scoped categories.

Method

  • Population: archives with category in [research] (N=56); 166 recorded finder.useCases entries.
  • Frequency counts exact strings; average weight is the arithmetic mean of recorded weights rounded to 0.1.
  • No entries are synthesized for tools whose archives record none.
Data appendix. Source: data/tools/*.json · snapshot 2026-09-17 · method: useCase frequency/weight within category scope · aggregates published with method and N. T1 benchmarks recorded: 3 / 448.