Equipment Listing Intelligence Platform
Score. Enrich. Optimize. Every equipment vertical.
Listing Description
710 hrs., MFWD, deluxe cab, Cummins 8.9L, 16 spd. powershift, 75 gpm, 6 remotes, autosteer, rear duals
Raw Listing
710 hrs., MFWD, deluxe cab, Cummins 8.9L, 16 spd. powershift, 75 gpm, 6 remotes, autosteer, rear duals
Hours
710
Drive
MFWD
Cab
Deluxe
Engine
Cummins 8.9L
Trans
16 spd powershift
Hyd Flow
75 GPM
Remotes
6
Autosteer
Yes
Trusted across 9 equipment verticals
Three layers of intelligence, applied in sequence
981 manufacturer variants resolved to canonical forms. Rule-based model normalization with 13-step pipeline.
1,700+ model specifications across agriculture, construction, forestry, marine, powersports, truck, trailer, and RV. Factory specs auto-populate from make, model, and year — for both new and used inventory.
JD 8R 310 (2022) →
Proprietary parsing engine reads free-text descriptions and extracts 85 structured fields across 9 vertical-specific schemas with 90-95% accuracy.
"710 hrs, MFWD, deluxe cab..."
Progressive enhancement for every listing
See what’s missing
Listing Quality Score reveals gaps in your data. Know exactly which fields are missing, how they impact searchability, and what to add for maximum visibility.
Fill the gaps
Three-layer enrichment creates up to 25 additional structured fields per listing, depending on description depth and OEM spec coverage. Normalization, OEM specs, and intelligent text extraction — all in one call.
Generate search-ready content
SEO-optimized descriptions, Schema.org markup, and meta tags generated from your structured data. Every listing becomes a search magnet.
New Listings
Factory specs auto-populate from make, model, and year. Dealers still add key details, options, and accessories to new listing descriptions that remain unstructured — LegenData captures those too.
Used Listings
Factory specs plus condition, hours, and configuration extracted from descriptions. Every used listing tells a story — LegenData reads it and returns structured data.
Listing descriptions become structured, searchable data — across every vertical.
Contained Only:
Everything below is unstructured text found in the Description section — not searchable or filterable
710 hrs, MFWD, Cummins 8.9L, 75 GPM, 6 remotes, autosteer, 520/85R46 rear duals, single owner, deluxe cab, 16 spd powershift
Searchable fields: 3
Hours
710
Drive Type
MFWD
Engine Brand
Cummins
Engine Model
8.9L
Hydraulic Flow
75 GPM
Hydraulic Remotes
6
Autosteer
Yes
Rear Tire
520/85R46
Rear Duals
Yes
Cab Type
Deluxe
Transmission
16 spd powershift
Single Owner
Yes
Searchable fields: 12
Score, enrich, and optimize every listing — before syndication.
Marketplace platforms like Trader Interactive expect populated spec fields. When your dealers' listings arrive with gaps, they underperform in search results. LegenData fills those fields before syndication — and generates Schema.org markup that improves organic search visibility.
Show every dealer their Listing Quality Score — a vertical-specific measure of how complete and searchable their listings are. Dealers see exactly what's missing and how to improve. Gamified data quality that drives engagement and reduces churn.
The full suite — Score, Enrich, Optimize — packages as a premium dealer tier. Enrichment-powered search, quality scoring dashboards, and SEO-optimized content generation are features no competing CMS offers.
Integration effort: 10–20 engineering hours. One async POST call on listing save. Zero impact on website performance.
Structured listing data is the foundation for pricing intelligence, days-on-lot benchmarking, and inventory velocity analytics. Quality Scores drive dealer engagement. SEO content generation improves organic traffic. Each is a new product line. Each increases dealer stickiness.
Structured listing data is the foundation for pricing intelligence, days-on-lot benchmarking, inventory velocity analytics, and trade-in valuation tools. Each is a new product your platform can offer. Each product is a new revenue stream that increases dealer stickiness.
Lenders need structured equipment data for collateral valuation. Insurers need spec-level detail for replacement cost estimates. Enriched listings create integration opportunities with financial services partners — revenue channels that don’t exist without structured data.
When your dealers’ listings are scored, enriched, and optimized, every downstream partner benefits — marketplaces get cleaner syndicated data, data aggregators get richer feeds, and analytics providers get more precise inputs. The full suite makes your platform the data quality layer for the entire ecosystem.
Score, enrich, and optimize every lot — before publication.
Score every lot description before publication. Identify lots with missing critical specs — hours, attachments, condition — so inspectors can add details before the catalog goes live. Higher quality catalogs attract more bidders.
Transform inspector descriptions into filterable, searchable records. Bidders find lots by spec — 'John Deere 8R, autosteer, under 1000 hours' — instead of reading hundreds of descriptions. More bidders per lot means higher hammer prices.
Every enriched lot gets optimized content and Schema.org markup. Your lots appear in Google search results with rich snippets showing make, model, hours, and key specs. Organic traffic from equipment buyers who search Google, not just your platform.
SEO advantage: Google favors structured Schema.org markup. Enriched lot pages with explicit make, model, year, and spec fields rank higher in organic search — driving more bidders to your auctions without additional ad spend.
Quality-scored, structured auction results with SEO-ready metadata command premium licensing rates from valuation companies, lenders, and market intelligence platforms.
Structured auction results with configuration-specific details — hours, attachments, drive type, condition — command premium licensing rates from valuation companies, lenders, and market intelligence platforms. Your historical archive becomes a monetizable data asset.
A tractor sold with autosteer and a loader is worth $30K+ more than one without. But if those details are in the lot description and not in structured fields, comp matching is inaccurate. Enrichment makes every historical result configuration-specific — improving your Price Guide and valuation services.
Auction houses compete for consignors. Structured lot data enables better buyer search, which attracts more bidders, which drives higher hammer prices. "Our lots are fully structured and filterable" is a consignor-facing differentiator no competitor can match without the same enrichment capability.
Paste any equipment listing description. See structured output in seconds.
Free · No signup required · Rate limited to 5/day
Choose the integration path that fits your team
For platforms and engineering teams
Single async POST on listing save. Returns structured fields, quality score, and optional SEO content in under 3 seconds. The full Score + Enrich + Optimize suite via one endpoint.
Best for
CMS platforms, cooperative networks, marketplaces
For auction houses and regular catalog publishers
Submit auction catalogs or inventory files on your schedule — weekly, bi-weekly, monthly. Receive enriched data with quality scores, structured fields, and optional SEO content. Quality report included with every batch.
Best for
Auction houses, consignment sales, weekly/bi-weekly catalog publishers, aggregator platforms
For data cleanup and evaluation
Send us a CSV or Excel file. Receive enriched data with quality scores, structured fields, and a detailed quality report showing before/after field coverage. Perfect for evaluating the full suite before ongoing integration.
Best for
Historical data cleanup, archive enrichment, pilot evaluations, one-time data projects
Volume-based pricing. Contact us for a custom quote.
Send us 100 listings. We'll enrich them for free. You evaluate the quality.