Start with the market you need today and add coverage as you grow. Every plan includes shipment-level detail, HS-code search and Excel export.
One country of your choice — best for a first market-entry study.
Up to ten countries — built for active sourcing and sales teams.
Full global access with API delivery and a dedicated account manager.
| Capability | Included |
|---|---|
| Shipment-level records | Yes — never summarised-only data |
| Search by HS code, product, company | Yes |
| Importer and exporter names | Yes, where the customs authority publishes them |
| Declared quantity and value | Yes |
| Excel / CSV export | Yes |
| Port and transport detail | Yes |
| API access | Enterprise |
| Scheduled recurring reports | Growth and Enterprise |
| Dedicated account manager | Enterprise |
Tell us the products and markets you care about and we will scope the smallest plan that covers them. Most customers start with a single market and expand once the data has paid for itself. Talk to us or request a free sample report first.
Trade data is priced on a small number of variables, and knowing them makes any proposal easier to evaluate. Market coverage is the largest: shipment-level records from administrations that name counterparties cost considerably more to source than statistical aggregates. Depth of history matters, because multi-year archives carry storage and licensing cost. Volume of use matters, because a research seat and a systems integration are different products. And delivery method matters — a search interface, a scheduled extract and an API each carry different obligations.
| Variable | Low end | High end |
|---|---|---|
| Markets | One country, one direction | Global coverage across both flows |
| Depth | Aggregates only | Shipment-level with named counterparties |
| History | Current year | Multi-year archive |
| Seats | A single researcher | A distributed commercial team |
| Delivery | Search and export | Scheduled extracts plus API |
| Support | Documentation | Onboarding, training and analyst time |
The commonest procurement error is buying global coverage for a question about three markets. Most commercial problems are narrow — a buyer list in two countries, a supplier check in one, a price benchmark on a handful of tariff lines — and narrow access answers them at a fraction of the cost. Start from the question, establish which markets and which chapters it touches, and buy that. Coverage can be widened once the workflow exists and is producing something.
A specific list with the tiers named, not a headline country count.
A figure per market rather than one marketing number for all of them.
Left blank when the source did not publish, never estimated and never silently filled.
An explained method with the merged variants visible, so over-merging can be spotted.
Codes stored with their edition, so historical series do not break at the boundary.
A sample drawn from your actual tariff line and market, not a curated demonstration.
The fastest way to evaluate a trade dataset is to run it against a market or a counterparty you understand well. Discrepancies you can explain build confidence; discrepancies you cannot are the whole story.
Trade data rewards a short, boring discipline far more than it rewards technique. Four steps cover most of it, and skipping any one of them is where the confident wrong conclusions come from. Fix the classification first, because every filter, every duty figure and every price comparison downstream is keyed to the tariff line and inherits any error in it. Then read at least three years, so that seasonality and trend can be told apart rather than conflated. Then exclude the most recent one or two periods, which are still filling in as late filings arrive. Then separate value from volume, because a value movement can be price, quantity or a change of mix inside the line, and those point in different directions.
| Step | What it prevents | Cost of skipping it |
|---|---|---|
| Confirm the tariff line | Filtering the wrong product | Every downstream figure is wrong by an unknown amount |
| Read three years | Mistaking a season for a trend | Strategy built on a cyclical high or low |
| Drop the incomplete tail | Reading reporting lag as decline | Writing off buyers who never stopped buying |
| Separate value from volume | Reading price as demand | Investing against a movement that was not demand |
| Check the counterparty | Acting on an unverified name | Credit or capacity committed to a company with no history |
| Record the period and source | Unrepeatable analysis | Figures nobody can reconcile three months later |
The material here is one layer of a set that is meant to be used together. The country pages establish the shape of a market from official reported figures. The HS chapter pages take a single classification down to product level. The industry hubs group the chapters that make up a real industry and sum them, because almost no industry is one chapter. The India location pages read the national record as places, using the clearance point as a geographic signal. And the trade role pages take one job at a time — building an importer list, checking an exporter, reading a lane — and set out the signals that matter for it.
Reported totals, partner markets and chapter breakdown for 99 markets.
Learn more ›All 98 chapters, each with the markets that trade it.
Learn more ›Thirty-eight industries, each summed across the chapters it spans.
Learn more ›Seventy-nine trading places, their gateways and their clusters.
Learn more ›The same record read as a buyer list, a supplier check or a lane analysis.
Learn more ›Classification, documentation, pricing, sourcing and compliance in practice.
Learn more ›Customs records cover goods that physically crossed a border and were declared to an authority. They do not cover services. They do not cover domestic trade, so a business selling mainly inside its own market will look far smaller here than it is. They carry no margin, no contract terms, no payment behaviour and no intent. Coverage of counterparty names varies by jurisdiction and is not universal, data arrives on a lag, and published periods are revised as corrections come in.
None of that reduces what the record is good for, and stating it plainly is what makes the rest credible. Used within its limits, customs data is one of the very few commercial sources where the underlying event actually happened, was documented at the time, and was documented under legal obligation rather than for promotional purposes. That is a rare property, and it is worth not overselling.
Before relying on any trade dataset — ours or anyone else's — ask which markets are covered at which depth, what the lag is in each, how company names were matched, and what happens to a historical series across an HS revision. The answers tell you more than any headline figure.
Market coverage and depth first, then history, seats, delivery method and support. Aggregate data for a few markets and shipment-level global access are very different products.
Yes, and for most commercial questions it is the sensible starting point. Coverage can be widened once the workflow is established and producing results.
Yes. Tell us the HS code and the market and we will return sample records drawn from your actual tariff line rather than a curated demonstration.
Delivery method affects pricing because a search seat and a systems integration carry different obligations. Excel and CSV export is included with search access.
We will say so. Coverage is a patchwork rather than a uniform layer, and knowing which tier your markets sit in is more useful than a larger headline number.