Turn scattered updates into a checkable tracker.
Follow recurring metrics or events without losing the evidence behind each row. The data-research skill uses a recipe to find relevant sources, extract fields and maintain a canonical tracker page.
Illustrative request
Build a tracker from these company updates and keep a source for every reported figure.
The assistant saves source material, extracts the agreed fields and checks duplicates before updating the tracker. Conflicting values are flagged rather than silently merged.
Illustrative scenario, not a live product result.Define the information you want to follow
A recipe specifies source queries, classification rules, extraction fields and the tracker format. That keeps the process consistent across recurring batches. The same structure can support company updates, research observations or other records with a clear schema.
Make every row traceable
Raw source material is retained before extraction. The workflow checks exact duplicates and surfaces ambiguous matches, then rereads saved records before summarizing numbers. Tracker entries link to their evidence so a total or corrected value can be examined later.
- Consistent fields and reporting periods
- Source references behind individual entries
- Duplicate and correction review
How it runs
The connected agent uses Memrain storage tools and its own approved email, web, API or attachment tools. Each external source needs access. A recurring collection process can run on a schedule after a representative sample has been checked.
Keep the context. Move the work forward.
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