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.

Example 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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Product prices & availability — Example output
Product / variant	Retailer	Market	Listed price	Availability	Delivery	Source
Trail 24 backpack / 24 L / black	Retailer A	United States	USD 89.00	In stock	2–3 days	Product page
Trail 24 backpack / 24 L / black	Retailer B	United States	USD 94.50	In stock	1–2 days	Product page
Trail 24 backpack / 24 L / black	Retailer C	United States	USD 84.00	Out of stock	Not available	Product page
Trail 24 backpack / 24 L / black	Retailer D	United Kingdom	GBP 79.00	In stock	3–5 days	Product page

The same model, capacity and colour are matched across retailers. A lower price does not hide an unavailable product.

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Example 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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Company & supplier intelligence — Example output
Company	Country	Capability	Materials	Minimum order	Evidence
Manufacturer A	Germany	5-axis CNC milling	Aluminium; stainless steel	50 units	Capabilities page
Manufacturer B	Vietnam	Injection moulding	ABS; polycarbonate	1,000 units	Product catalogue
Manufacturer C	Mexico	Sheet metal fabrication	Steel; aluminium	100 units	Company website
Manufacturer D	United States	Precision turning	Titanium; stainless steel	Not stated	Capabilities page

“Not stated” remains visible when a source does not provide an answer. Each field can retain its own source reference.

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Example 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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Expert knowledge for AI — Example output
Situation	Relevant facts	Expert procedure	Resolution
Invoice price differs from the order	Order: 120 units × USD 18.00. Invoice: 120 × USD 19.50. No approved price change.	Compare the order and invoice; check amendments; flag the USD 180.00 difference; request a corrected invoice.	Corrected invoice matches the approved order, or an authorized amendment explains the difference.
Customer needs a new delivery address	Order is paid. The warehouse has not released the shipment.	Verify the customer; check dispatch status; update the address before release; confirm the change.	The shipment uses the confirmed address and the customer receives a confirmation.
Two supplier records may be duplicates	Names differ, but the company registration number and website domain match.	Compare legal identifiers and addresses; check branch relationships; merge only after confirming the same entity.	One supplier identity retains both original record IDs and a documented merge decision.

The useful data is the reasoning and sequence of actions, not just a document title or a generic answer.

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Example records showing the structure of a delivery. Sources, markets and scope are agreed for each project.

START WITH THE QUESTION

Your next dataset starts with a clear brief.

Tell us what you need to compare, find or teach an AI system. We turn that into fields, suitable sources and a focused first delivery.

Define the fields

Which records and attributes would make the answer useful?

Check the sources

Which markets, languages and sources fit the question?

Review a first delivery

Agree the sample, quality rules and delivery format.

Tell us what you need