Radar

Keep up with your market. Every day.

Radar follows what’s already visible on websites and mobile apps: prices, promotions, catalogs and listings. Turn those changing sources into a checked dataset, refreshed on your schedule.

market_prices Synced
Illustrative Radar dataset
ProductSourcePriceChangeProduct IDPack sizeAvailabilityCollected at
Barista oat drink 1LGrocery website£2.20−6.4%OAT-0011 LIn stock2026-09-13 06:02 UTC
Barista oat drink 1LDelivery app£2.35UnchangedOAT-0011 LIn stock2026-09-13 06:03 UTC
Sourdough 800gGrocery website£2.50−9.1%BRD-008800 gIn stock2026-09-13 06:04 UTC
Coffee beans 250gRetailer app£4.80+2.1%COF-025250 gLow stock2026-09-13 06:05 UTC
Greek yoghurt 500gGrocery website£1.85New listingYOG-005500 gIn stock2026-09-13 06:06 UTC
Checked rows, ready to useExample data

From your sources to your dataset.

Choose the scope. Jsonify builds the pipeline and keeps it running.

00 / BRIEF

Monitor competitor product prices, promotions and availability across public retailer websites and mobile apps. Match products and deliver a daily dataset with changes since the previous run.

01 / SOURCES Products & sources Your market, defined 02 / COLLECT IN PARALLEL Read public websites Prices, stock, promotions Read mobile apps Offers and availability 03 / PROCESS & VERIFY Match & compare Same products, new snapshot 04 / PUBLISH Email report Market prices A dataset that stays current Snowflake XLSX
Illustrative pipeline. Customize the sources, fields, schedule and delivery.

See what moved

Compare each run with the last to spot price changes, new products and disappearing listings.

Keep the context

Retain the source, collection date and relevant product attributes alongside every price.

Get it where you work

Send checked rows to your warehouse, a spreadsheet or an API. Route changes to an alert.

What will you collect with Radar?

Explore datasets built from published prices, menus and listings.

Sources change.
Your data keeps flowing.

A retailer moves its price field. Jason diagnoses the failure, repairs the extraction code, and verifies the change before activating a new pipeline revision.

The next scheduled run uses the repaired code. Your dataset stays dependable, even when its sources don’t.

Automatic pipeline repair Oat drink1 litre £2.20 ! Layout changes Jason repairs and verifies the code .price [data-price]Sample verified ✓ product_prices pricecurrency 2.20GBP 2.35GBP ✓ Checked and ready Data flows again

Your next dataset starts here.

Describe the data you need. Build for free with 100 rows a month, no credit card required.

Connect your data assistant

Build datasets and work with your data in ChatGPT, Claude, Teams or another assistant.

Connect in ChatGPT

  1. Open Settings → Security and login and enable Developer mode.
  2. Open Plugins and select + to create a connection. Name it Jsonify, add a short description, and paste the URL below.
  3. Use OAuth for authentication, select Create, and sign in to your Jsonify account when prompted.
  4. Start a new chat and select Jsonify from + → More, then describe your dataset.
Server URLhttps://factory.jsonify.com/mcp

If Developer mode is unavailable, your plan or workspace settings may restrict custom connections.

Official ChatGPT setup guide ↗

Then say: “build me a dataset of competitor product prices and availability, refreshed daily”. Full instructions per client on /connect.