Cognaptus DataHub

Applied AI intelligence pages that should stay useful even when the blog is quiet.

This section works best as a monitored reference surface: provider watchlists, pricing dashboards, model directories, and curated operational datasets.

Tracked Datasets

47

Model Pages

41

Pricing Providers

55

Free Provider Monitor

24

GitHub Resources

1869

Daily Monitor

Free AI Inference Providers

Watch the zero-cost inference landscape with curated provider boards and the OpenRouter roster.

21 free OpenRouter models 24 tracked providers

Pricing Radar

Foundation Model Pricing

Compare text, image, video, and speech pricing using the local machine-readable dataset.

370 priced models 55 provider families

Directory

Model Pages

Structured reference pages for major models, with deployment and licensing context.

41 model pages

Workflow Assets

BPA Datasets & Model Resources

Browse curated datasets and public model-resource listings for automation, document AI, internal copilots, and business operations.

47 dataset entries 40 public model resources

Decision Surface

Comparisons

Use ranked views and visual comparisons to weigh model quality, cost, and practical tradeoffs.

Model comparison pages

Implementation Surface

GitHub Resources

Scan repositories linked from arXiv-paper digests so research references can be revisited as implementation assets.

1869 tracked links

Research Monitor

arXiv AI Research Monitor

Track publication volume, topic momentum, weekly keyword signals, and selected papers across monitored arXiv AI categories.

Weekly volume and keyword signals Monthly topic momentum

How To Use DataHub

Use DataHub as a monitored reference surface, not a static article folder.

Check often: free provider and pricing pages change fastest.

Use for decisions: compare what is free, what is cheap, and what looks deployable.

Expect slower updates: model directory and dataset pages should stay structured and evergreen.