Questions about coverage, pricing, or whether we hold the data you need? Ask and we will give you a straight answer.
Coverage checks, sample reports and plan scoping.
sales@eximdataprovider.com
Anything else about the platform or the data.
info@eximdataprovider.com
Existing customers with an account or data question.
support@eximdataprovider.com
Including these details gets you a useful answer on the first reply.
| Include | Why |
|---|---|
| Product or HS code | Lets us confirm coverage precisely |
| Country or countries | Datasets differ by market |
| Buying or selling | Determines whether you need importer or exporter records |
| Timeframe | Tells us how much history to check |
Request a free demo report — no call required.
The quickest way to a substantive answer is to send the four things that determine everything else: the HS code or a plain description of the product, the market or markets you care about, whether you are buying or selling, and roughly what scale you operate at. With those we can tell you what coverage exists for your case and send sample records drawn from your actual tariff line rather than a generic demonstration.
| Tell us | Why it matters |
|---|---|
| HS code or product description | Everything filters from the classification |
| Target market or markets | Coverage depth varies by jurisdiction |
| Buying or selling | The same record is read in opposite directions |
| Typical order or consignment size | Determines which counterparties are relevant to you |
| A company name, if verifying one | Counterparty checks are the fastest useful answer |
| The decision this feeds | A buyer list, a price benchmark and a market study differ |
We confirm what coverage exists for your markets and at what depth, tell you plainly where it is thin, and send a sample drawn from your own tariff line. If the data does not answer your question we will say so — a subscription that does not fit is worse for both sides than a straight answer at the outset.
Coverage is a patchwork; we will name the tier rather than quote a country count.
It varies by authority and it changes how you read a recent gap in activity.
Usually yes, and it is the fastest way to see whether the data is useful to you.
We can show what comparable consignments were actually filed against.
If you would rather not book a meeting, send the details and we will reply in writing with sample records and an honest note on coverage.
Trade data enquiries fall into a small number of shapes, and knowing which one you are sending helps us answer it properly rather than generically. A coverage question — does this market publish counterparty names, and what is the lag — has a factual answer we can give immediately. A verification question about a named company produces a concrete result you can check against what you already know. A market question needs the tariff line and the destination before it can be answered at all. And a classification question is best answered by showing what comparable goods actually cleared under.
Enquiries are answered by someone who works with the data rather than by a sales sequence. If your question has a short factual answer — whether a market publishes counterparty names, what the current reporting lag is, which tariff line comparable goods clear under — you will get it in the reply rather than after a discovery call. If the honest answer is that our coverage does not fit your case, we will say that too, because a subscription that does not answer the question is worse for both sides than a straight no at the outset.
We will not add you to a marketing sequence you did not ask for, and we will not pass your details to anyone else. A request for a sample is treated as a request for a sample.
Counterparty verification is usually the fastest way to see whether the data is useful to you, because it produces a concrete answer against something you already know. Send the company name and the market, and we will show what the record contains: years of activity, the products actually shipped, the destination or origin spread, typical consignment sizes and recent activity. Where a jurisdiction does not publish a field, you will see the blank rather than an inference.
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.