QUALITY & SOURCES
Data you can evaluate.
Agreed rules, traceable sources and clearly documented limitations.
CONTEXT THAT COMES WITH THE DATA
Understand every field. Trust every decision.
A useful delivery makes the source, meaning and limits of its records clear.
01Where it came from
A source reference and collection date let you trace a price, company attribute or workflow back to its origin.
02What it means
Currency, tax treatment, units, availability and matching rules are defined so you compare like with like.
03What is missing
Unknown values, uncertain matches and conflicting sources stay visible. They are not silently filled in.
04How you can use it
The delivery format, refresh schedule and permitted uses are agreed around your business or AI application.
WHAT HABITABLE DELIVERS
Less explaining. More actual data.
Three examples of what we can collect and how it becomes useful. Each table shows the fields and records in a delivery.
01Example output
Product prices & availability
CSV / JSON The business question“Where is the same product cheaper, and who can actually deliver it?”
What we collect
Product and variant, retailer, market, listed price, stock status, delivery estimate and source page.
What it helps you do
Compare matched products, spot stock gaps and feed pricing or assortment decisions. Keep each currency and market separate.
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The same model, capacity and colour are matched across retailers. A lower price does not hide an unavailable product.
02Example output
Company & supplier intelligence
CSV / JSON The business question“Which manufacturers can make the part we need, and what can we verify about them?”
What we collect
Company identity, operating country, manufacturing capability, materials, minimum order and the source supporting each attribute.
What it helps you do
Build a supplier shortlist, enrich an existing company list and give procurement a practical starting point for qualification.
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“Not stated” remains visible when a source does not provide an answer. Each field can retain its own source reference.
03Example output
Expert knowledge for AI
CSV / JSON The business question“How should an AI assistant resolve this situation, step by step?”
What we collect
The task, relevant facts, expert checks, the recommended action and the resolution criteria — prepared from appropriately licensed source material.
What it helps you do
Give AI teams structured examples for retrieval, evaluation and training around a specific business task.
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The useful data is the reasoning and sequence of actions, not just a document title or a generic answer.
Example records showing the structure of a delivery. Sources, markets and scope are agreed for each project.
LET’S CONNECT THE DOTS
Your next dataset starts here.
A question, a missing field, a new capability.Tell us what you want to build.