Appraise, grade and authenticate — One API, Every Vertical.

Appraise, grade and authenticate — One API, Every Vertical.

Appraise, grade and authenticate — One API, Every Vertical.

Production-grade authentication, listing enrichment, and counterfeit detection for any physical asset category — at any volume. Stop building it yourself. Plug in the expertise.

Vardera gives marketplaces the infrastructure to detect counterfeits, enrich listings, and launch new asset categories at a fraction of the cost and time of building in-house. Coins, comics, trading cards, luxury handbags, and more.

Production-grade authentication, listing enrichment, and counterfeit detection for any physical asset category — at any volume. Stop building it yourself. Plug in the expertise.

Vardera gives marketplaces the infrastructure to detect counterfeits, enrich listings, and launch new asset categories at a fraction of the cost and time of building in-house. Coins, comics, trading cards, luxury handbags, and more.

Comic recognition
AI
Analyzing…
X-Men Edition 1, September 1, 1963
14 structural stress lines along spine, 6 color-breaking fractures
Non-native adhesive material and reinforcement along the interior spine region

the challenge

The math on manual authentication and valuation is broken
The math on manual authentication and valuation is broken
The math on manual authentication and valuation is broken

You know the numbers. One specialist reviewing 25,000 new coin listings a month. A multi-million dollar annual line item for authentication - per category. And counterfeits still slip through.

The problem isn't your people. It's the math. Human expertise doesn't scale linearly with listing volume. And every new category - coins, comics, trading cards, luxury handbags - requires building that expertise from scratch.

More importantly there is a structural problem no amount of hiring solves: manual authentication doesn't learn. The 100,000th item your team reviews is no faster, no cheaper, and no more accurate than the first. Every review is an isolated event. Nothing compounds. Nothing carries forward.

The cost of the status quo

1 person

1 person

responsible for tens of thousands of monthly listings

responsible for tens of thousands of monthly listings

$2–5M

$2–5M

and 1–2 years to build an internal model per category

and 1–2 years to build an internal model per category

No learning

No learning

every review starts from zero - no compounding

every review starts from zero - no compounding

Linear scaling

Linear scaling

more volume = more headcount, no leverage

more volume = more headcount, no leverage

the solution

Every category authenticated. One API integration.
Every category authenticated. One API integration.
Every category authenticated. One API integration.

Counterfeit detection

Catch fakes at the point of listing submission – before they go live. Every item is authenticated against deep category models trained on 200M+ items.

Automated listing enrichment

Transform old coin, good shape into structured, accurate catalog data. Descriptions, attributes, and metadata – generated automatically from photos.

Condition assessment & Grading

Consistent, objective quality evaluation across every listing. No more expert-to-expert variance or fatigue-driven inconsistency.

Compounding authentication

every item processed across the platform enriches the underlying models, so accuracy improves continuously. The more volume you process, the better every assessment gets - a structural advantage no in-house build can match.

Not a dashboard. Not another vendor portal. API infrastructure that plugs into your existing moderation pipeline and starts working on day one.

integration

Live in days. Smarter every day after
Live in days. Smarter every day after
Live in days. Smarter every day after

Integrate our API or use our dashboard—your choice.

POST /v1/authenticate

200ms

// Response

{

"item": "1921 Morgan Dollar",

"authentic": true,

"confidence": 0.987,

"grade": "MS-65",

"valuation": {

"estimate": 28500,

"currency": "USD"

}

}

POST /v1/authenticate

// Response

{

"item": "1921 Morgan Dollar",

"authentic": true,

"confidence": 0.987,

"grade": "MS-65",

"valuation": {

"estimate": 28500,

"currency": "USD"

}

}

POST /v1/authenticate

200ms

// Response

{

"item": "1921 Morgan Dollar",

"authentic": true,

"confidence": 0.987,

"grade": "MS-65",

"valuation": {

"estimate": 28500,

"currency": "USD"

}

}

Step 1

Connect

Integrate the Vardera API into your listing submission flow, it's a standard REST API that works alongside your existing moderation and trust & safety pipeline. Most teams are live within days.

Step 1

Connect

Integrate the Vardera API into your listing submission flow, it's a standard REST API that works alongside your existing moderation and trust & safety pipeline. Most teams are live within days.

Step 2

Authenticate & flag

Every listing is identified, authenticated, graded, and enriched at submission. Confidence scores flag edge cases for human review. Suspected counterfeits are routed based on thresholds you control.

Step 2

Authenticate & flag

Every listing is identified, authenticated, graded, and enriched at submission. Confidence scores flag edge cases for human review. Suspected counterfeits are routed based on thresholds you control.

Step 3

Calibrate

Set acceptance and rejection thresholds based on your risk tolerance. Feed in your own data - historical rejections, confirmed fraud, known-good inventory - so the models learn what counterfeits look like on your platform.

Step 3

Calibrate

Set acceptance and rejection thresholds based on your risk tolerance. Feed in your own data - historical rejections, confirmed fraud, known-good inventory - so the models learn what counterfeits look like on your platform.

Step 4

Compounding authentication at scale

This is where Vardera becomes structurally different from anything you could build internally. Every item processed across the entire Vardera network - across every marketplace, every category - enriches the underlying models through reinforcement learning. Authentication accuracy doesn't just hold steady. It compounds as a function of total network volume.

Step 4

Compounding authentication at scale

This is where Vardera becomes structurally different from anything you could build internally. Every item processed across the entire Vardera network - across every marketplace, every category - enriches the underlying models through reinforcement learning. Authentication accuracy doesn't just hold steady. It compounds as a function of total network volume.

The ROI Math

Replace a cost center with infrastructure that compounds
Replace a cost center with infrastructure that compounds
Replace a cost center with infrastructure that compounds

Current Operations

Manual authentication

With Vardera

Cost per category

Cost per category

6-10 figures annually

6-10 figures annually

API pricing that scales with volume

Time to launch new category

Time to launch new category

1-2 years + $1-3M build

Weeks (plug in the model)

Authentication speed

Authentication speed

Days to weeks per batch

Days to weeks per batch

Seconds per item

Accuracy

Variable (fatigue, bias, reviewer inconsistency)

Variable (fatigue, bias, reviewer inconsistency)

97–99% consistent

97–99% consistent

Scaling model

Scaling model

Linear (more volume = more headcount)

Linear (more volume = more headcount)

Logarithmic (more volume = smarter models)

Logarithmic (more volume = smarter models)

Coverage

Coverage

Limited to categories you've staffed

Limited to categories you've staffed

Any category Vardera supports - and growing

Every item your marketplace processes through Vardera makes the models smarter.
Unlike a human authentication team that costs more with every new hire, Vardera's accuracy compounds. Your cost curve flattens. Your competitors' doesn't.

grading bodies Use Cases

Built for how grading operations actually work
Built for how grading operations actually work
Built for how grading operations actually work

Trust & safety

Stop counterfeits before they reach a buyer

At 25,000+ new listings per day, counterfeits slip through – driving chargebacks, buyer complaints, and brand litigation that costs millions.

Vardera authenticates every listing at submission. Items that fail are flagged or blocked before they go live, shrinking your legal exposure and chargeback rate.

Listing quality

Turn seller-generated listings into catalog-grade content

Sellers upload blurry photos and write "coin, good condition, old". That listing doesn't sell – and it drags down your entire category.

Vardera rewrites descriptions with structured data – year, mint, grade, variety – and flags images that don't meet quality thresholds. Higher visibility, higher conversion.

category expansion

Launch new high-value verticals in weeks, not years

Building authentication for each new category means hiring domain experts, training models, and spending $1–3M over 1–2 years.

Vardera gives you a production-grade category model you plug in via API. Launch new verticals with dedicated-team quality in a fraction of the time.

seller experience

Give every seller access to expert-grade tools

From a first-time hobbyist listing a single coin to a professional dealer processing thousands monthly - every seller gets better listings automatically.

Buyers get more trustworthy results. Your marketplace gets more volume at higher quality. No seller training required.

FAQ's

Common questions from grading operations teams
Common questions from grading operations teams
Common questions from grading operations teams

One API integration away from universal expert-grade authentication.

Whether you're processing millions of listings or planning your next category launch, Vardera gives your platform the authentication infrastructure it needs - without building it yourself.