---
title: "Product"
description: "See how Jsonify turns a brief into a maintained dataset: build, run, verify, deliver and repair, launching with Radar, with Benchmark enterprise."
url: "https://www.jsonify.com/product"
---

# Describe the job.  
Keep it running.

One product, from your first brief to a dataset that stays current. Jsonify builds the pipeline, runs it and repairs it when a source changes.

[Build](https://factory.jsonify.com/setup) [Book a demo](https://calendly.com/paulhunkin/30min)

[Describe](https://www.jsonify.com/product#describe)[Build](https://www.jsonify.com/product#build)[Run](https://www.jsonify.com/product#run)[Verify](https://www.jsonify.com/product#verify)[Deliver](https://www.jsonify.com/product#deliver)[Repair](https://www.jsonify.com/product#repair) [Radar Now available](https://www.jsonify.com/product#radar) [Benchmark Enterprise](https://www.jsonify.com/product#benchmark)

01 / Describe

## Start with the data you need.

Tell Jsonify what to collect, which sources matter and how often it should refresh. A product catalogue, a menu tracker or a property listing feed: the brief defines the job.

factory.jsonify.comIllustration

Retail intelligence / New pipeline

Track grocery prices and stock across three retailers. Refresh every morning.

![](/assets/images/jason.png)Jason

I’ll keep the product, pack size, price and availability together, with a link back to each source.

✓ 3 sources inspected  
✓ Product fields identified  
✓ Daily refresh proposed

Ask Jason to refine the brief ↑

### This pipeline

Sources

Retailer A  
Retailer B  
Retailer C

Fields

product price stock source\_url

Refresh

Every day · 06:00

Review proposal →

Setup and pipeline brief · Illustrative product preview

02 / Build

## Your brief becomes a pipeline.

Jsonify builds the steps that collect, process and verify your data. Follow the pipeline diagram and version history; ask Jason when you want to change the sources, fields or schedule.

factory.jsonify.comIllustration

Retail intelligence / Retail prices

### Retail prices

Ready to run

OverviewStepsRun historyv24

01 / Sources**Retailer list**3 public websites

02 / Collect**Fetch products**HTML → structured fields**✓**

03 / Process**Normalize prices**Currency · pack sizes**✓**

04 / Publish**Retail prices**Checked dataset**✓**

✓ Pipeline built · 4 steps · Revision v24 Ask Jason to make a change

Pipeline diagram and version history · Illustrative product preview

03 / Run

## Run once. Then keep it current.

Run your pipeline and refresh it on a schedule. Collection workers handle the sources in parallel, while run history records what happened each time.

factory.jsonify.comIllustration

Retail intelligence / Retail prices

### Run history

Daily · 06:00

Collecting product pages Run #184 · v24

**2,164 / 2,840**

Worker 1 · Retailer AWorker 2 · Retailer BWorker 3 · Retailer C

| Run | Status | Rows | Duration |
| --- | --- | --- | --- |
| Today · 06:00 | Running | 2,164 | 1m 42s |
| Yesterday · 06:00 | Completed | 2,840 | 2m 18s |
| Monday · 06:00 | Completed | 2,812 | 2m 09s |

Scheduled runs and worker activity · Illustrative product preview

04 / Verify

## Check the rows before they arrive.

Check types, missing values and duplicates before publishing. Keep source context alongside each result so your team can trace and compare the data.

factory.jsonify.comIllustration

Retail intelligence / Retail prices

### Validation results

Checks complete

✓**Types**Price fields are numeric

✓**Nulls**Required fields present

✓**Duplicates**Unique product + source

**2,840 rows published**12 rows held for review

| Product | Price | Source | Result |
| --- | --- | --- | --- |
| Oat drink · 1L | £2.20 | Retailer A | ✓ Passed |
| Coffee · 250g | £4.80 | Retailer B | ✓ Passed |
| Green tea · 80 bags | — | Retailer C | Missing price |

Validation results and published dataset · Illustrative product preview

05 / Deliver

## Use the data where you work.

Sheets or Excel, refreshed on schedule. Snowflake, S3, Postgres and webhooks. Slack and Teams alerts. ChatGPT, Claude or Cursor over MCP. Or an automatic insights dashboard on a share link.

factory.jsonify.comIllustration

Retail intelligence / Retail prices

### Connections

After each verified run

**Google Sheets**Market watch / Retail prices

Updated

**Snowflake**INTELLIGENCE.PUBLIC.RETAIL\_PRICES

Synced

**Team alerts**Notify when a price changes

Connected

**Your agent · MCP**The same dataset in your conversation

Available

✓ 2,840 checked rows · Delivered at 06:03

Dataset delivery settings · Illustrative product preview

06 / Repair

## A source changes. The pipeline adapts.

Jsonify diagnoses extraction failures, repairs the code and verifies the change before activating a new revision. Run history records what changed and whether the repair passed its checks. When a repair needs human attention, the issue remains available to review.

factory.jsonify.comIllustration

Retail intelligence / Retail prices

### Repair history

Recovered

06:01

**Source change detected**Retailer B changed its product-page layout.

06:02

**Collection step repaired**Price extraction updated. Revision v23 → v24.

06:03

**Verification passed**Types, nulls and duplicates checked on 50 sample rows.

06:04

**Run resumed**2,840 checked rows published to your destinations.

![](/assets/images/jason.png)

**Jason** The price field moved. I updated the collection step and verified the repair.

Repair summary, verification and resumed run · Illustrative product preview

## One product. Two kinds of collection.

Radar monitors what’s published. Benchmark submits a scenario and collects the offer.

**Radar**Now available

### Monitor what’s published.

Collect prices, menus, listings and availability from websites and apps. Follow what changes across sources and markets.

**Reading in parallel**Illustration

[Explore Radar](https://www.jsonify.com/products/radar)

**Benchmark**Enterprise

### Compare what’s offered.

Run defined scenarios through forms to collect comparable insurance quotes, rental rates and personalised offers.

**Running a quote journey**Illustration

[Explore Benchmark](https://www.jsonify.com/products/benchmark)

## Build a dataset that keeps working.

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

[Build](https://factory.jsonify.com/setup) [Book a demo](https://calendly.com/paulhunkin/30min)
