Data packages

Buy the data without the platform.

The harmonised datasets behind the Data Atlas, delivered as files with a molecule crosswalk, a vintage manifest and an integrity report, for use in your own tools. Take one family, several, or the whole Atlas. Trade shipment records and global bilateral flows come as separate packages.

177datasets on the Data Atlas, each with its vintage
323.9mncurated records, counted from the data itself
1,160original files harmonised onto one molecule key
1939 to 2028the span of the registers, oldest approval to furthest expiry

What this data holds

Measured, not estimated.

Every figure below was counted from the data itself, as received, before any processing. Each names the years it covers, and each sits inside one of the packages further down.

Prescriptions & claims 13.4bn

Every prescription dispensed under the paid drug registers over seven years: who prescribed it, which drug, where, and what it cost.

2019 to 2025
Drug spending tracked $2.21T

Spending on medicines across the paid registers, tracked drug by drug, plan by plan and prescriber by prescriber.

2019 to 2025
Healthcare providers 9.49mn

Every prescriber and healthcare organisation enumerated on the US national provider registry, with specialty, credentials and location.

2005 to 2026
Drug approvals 29,142

Every drug approval on record, from the 1930s to today, brand and generic, with application type and approval date.

1939 to 2026
Drug patents & exclusivity 21,112

The patent and exclusivity listings that determine when a medicine loses protection and generics can enter.

current listing
Clinical trials 587,105

Registered clinical studies with sponsor, phase, condition, intervention and site.

1999 to 2026
Manufacturing plants 9,714

Registered drug manufacturing sites worldwide, mapped and linked to what they make.

current registration
Plant inspections 71,319

Regulatory inspections of those plants, each with its outcome and date.

2008 to 2026
Inspection findings 97,038

Individual problems cited during those inspections: the detail behind a plant's compliance record.

2008 to 2026
Insurance plans 11,668

Drug plans whose medicine coverage is held, across commercial and Part D books.

2024 to 2026
Coverage decisions 24.1mn

Individual rulings on whether a plan covers a medicine: its tier, and whether prior authorisation, step therapy or quantity limits apply.

2024 to 2026

Measured 2026-08-13. Each figure was counted directly from the held data, by record counts over the original files or read-only aggregations. Nothing is estimated. Held as 1,160 original files · 323.9mn records · 93 GB · 177 datasets covering 1939 to 2028, read exactly as received, and delivered harmonised onto one molecule key.

What every package includes

Files you can load, and the record of every check they passed.

A package is the same resolved data the lenses read, without the lenses. It arrives as files, with the key that joins them and the paperwork that says where each record came from.

  • Parquet and CSV files. A single DuckDB file on request, so one open gives you every table.
  • Molecule crosswalk. Every drug-level record carries the same canonical molecule key, so drug tables join on one column; provider, plan, site and population tables keep their own registry keys and join through the crosswalk.
  • Vintage manifest. Names each register release in the package, with the period it covers.
  • Integrity report. Record counts per table, key coverage, null checks and the checks each table passed.
  • Refresh as each register is released. New files, a new manifest, a new report. Nothing is re-estimated.
  • Licensed for internal analytical use. Source terms confirmed per package before delivery.
atlas · the catalogue the packages are cut fromlive
Data Atlas: headline counts for prescriptions, spending, providers, approvals, patents, trials, plants, inspections and coverage

Data Atlas. Every dataset behind the platform with its record count, source, vintage and integrity check. Each package is one or more of its families, exported as files.

The packages

Nine packages. Six from the Atlas, two from trade, one of everything.

Dataset and record counts are those reported on the Data Atlas at build time. Each package lists the families it contains and the grain of the records, so you know what one record is before you load it.

Package 01

Drug economics & utilisation

Drug economics, 16 datasets and 143.3mn records: prescriber-by-drug utilisation, spending by drug and by manufacturer, pricing. Utilisation, 7 datasets and 68.4mn records: state drug utilisation and physician-administered drugs.

  • 23 datasets
  • 211.7mn records
  • grain: prescriber × drug × year · drug × manufacturer × year · state × drug × quarter
Request this package →
Package 02

Coverage & formulary

Formulary coverage cells, plan registries and restrictions: prior authorisation, step therapy and quantity limits, by plan and by drug. The largest family on the Atlas by dataset count.

  • 81 datasets
  • 27.5mn records
  • grain: plan × drug coverage cell · plan registry record
Request this package →
Package 03

Drug regulatory & reference

Drug regulatory, 20 datasets and 0.7mn records: approvals, patents and exclusivity, product listings, shortages, recalls, drug master files, import alerts. Reference, 8 datasets and 6.1mn records: codes and crosswalks.

  • 28 datasets
  • 6.8mn records
  • grain: application · product · patent or exclusivity record · code
Request this package →
Package 04

Quality, inspections & facilities

Quality, 24 datasets and 1.1mn records: inspections, findings, warning letters, quality measures. Facilities, 5 datasets and 2.0mn records: registered drug manufacturing sites, hospitals, care sites, cost reports. Devices, 6 datasets and 5.7mn records: device registries.

  • 35 datasets
  • 8.8mn records
  • grain: inspection · finding · site · device listing
Request this package →
Package 05

Providers & industry payments

Providers, 4 datasets and 14.0mn records: the national provider registry and taxonomy. Industry payments, 4 datasets and 35.3mn records: payments to clinicians, general and research, with the paying company named.

  • 8 datasets
  • 49.3mn records
  • grain: provider · payment record
Request this package →
Package 06

Research & population

Research, 1 dataset and 19.7mn records: the clinical trial registry with sponsor, phase, condition and site. Population, 1 dataset and 37k records: population counts to put prevalence and demand on a denominator.

  • 2 datasets
  • 19.7mn records
  • grain: registry records across 587,105 studies · population by area and year
Request this package →
Package 07 · Trade

Trade shipment records

Export and import shipment records, one record per shipment: product, exporter or importer, counterparty, destination or origin country, quantity, value and date. About 1.56mn export and 71k import records.

  • 1.6mn+ shipments
  • 81,000+ companies
  • 187 destination countries
  • 110 origin countries
  • grain: one shipment
Request this package →
Package 08 · Trade

Global bilateral flows

Bilateral trade flows for 105 reporter countries, by product and month, January 2024 to March 2026. Reporter, partner, product, direction, value and quantity in one table.

  • 105 reporter countries
  • 8.4mn records
  • Jan 2024 to Mar 2026
  • grain: reporter × partner × product × month
Request this package →
Package 09

The full Atlas

All twelve Atlas families in one delivery, with the molecule crosswalk that joins them, one manifest and one integrity report covering the whole set. The two trade packages are taken separately.

  • 177 datasets
  • 323.9mn records
  • 1939 to 2028
  • grain: as each family above
Request this package →

Trade packages are counted from the shipment and flow records and are not part of the 177-dataset Atlas count. Record counts refresh as each register is released.

How a package is made

From register to files, with nothing estimated in between.

Each register is read as released, resolved to one canonical molecule key, stamped with its vintage and checked before it is written out. The files you receive are the same files the platform reads.

pipeline · register to packagelive
STEP 01 · REGISTERS AUTHORISED SOURCES coverage · economics · utilisation regulatory · quality · facilities providers · payments · research shipments · bilateral flows ✓ 1,160 original files · 1939 to 2028 STEP 02 · HARMONISE ONE KEY · VINTAGE · CHECKS resolve each record to one molecule key stamp every record with its release record counts · key coverage · nulls read as released · nothing modelled one key · one total per molecule STEP 03 · PACKAGE FILES Parquet and CSV · DuckDB on request Molecule crosswalk · one join key Vintage manifest · each release Integrity report · counts and checks same files the platform reads · refreshed as each register is released source and vintage on every record

Data or platform?

Which one you need depends on who will do the reading.

The data is the same either way. The difference is whether you bring your own tools to it, or want the lenses and Ask already built on top.

Your situation
What to take
What you get
You have analysts and your own tools
A data package, on its own
Files, crosswalk, manifest and integrity report, loaded into your warehouse and read with whatever you already use. Request a package →
You want lenses and Ask on it
Data and platform together
The packages plus the nine lenses, the Data Atlas and Ask, deployed privately for your team and refreshed as registers are released. Data + platform →
You want one question answered, not a dataset
Consulting
An evidence pack on your molecule, with source and vintage on every figure. Consulting services →

Use cases

What these packages get loaded for.

The same records answer very different questions depending on who loads them. These are the ones they are asked most, with the packages each one reads.

Physician and prescriber accessFind the clinicians who actually write a molecule, where they practise, what else they prescribe and how their volume has moved.Packages 05 · 01
Provider and account accessRank hospitals, systems, clinics and care sites by the patients they treat and the medicines they administer, before a territory is drawn.Packages 05 · 04
USFDA plant trackingFollow a manufacturing site's inspection history, findings, outcomes and warning letters over time, and the products registered behind it.Packages 04 · 03
Generic entry timingRead patent and exclusivity expiry against approvals and filings to date the window in which a generic can actually enter.Package 03
Competitor analysisWho else holds an approval, files a drug master file, ships the product or takes the spend, molecule by molecule and company by company.Packages 03 · 01 · 07
Product analysisOne product end to end: approvals, strengths, labellers, coverage, pricing, spend and shipments, all resolved onto a single key.Packages 09 · 07
Disease landscape trackingTrials, treated population, prescribing and spend for one condition, with the pipeline and the sponsors behind it.Packages 06 · 01
Biosimilar assessmentReference-product spend, exclusivity, uptake and payer coverage for a biologic, before the biosimilar decision is committed.Packages 03 · 02 · 01
US market entry strategyShortlist molecules for a generic filing on paid spend, competitor count, entry window and channel, with the evidence attached to each.Package 09
Market demand identificationWhere volume and spend actually sit, by drug, state, plan and channel, so demand is sized on paid claims rather than estimated.Packages 01 · 02
Formulary and payer coverageWhich plans cover a drug, at what tier, and whether prior authorisation, step therapy or quantity limits stand in the way.Package 02
API and supplier sourcingWho files the drug master files for a molecule, which sites stand behind them, and which of those carry an import alert.Packages 03 · 04
Pricing and channel mixWhat a drug is actually paid for across channels, and how the mix between them moves quarter by quarter.Packages 01 · 02
Shortage and recall monitoringWhich products are in shortage or recalled, since when, on what reason, and who else holds an approval to make them.Package 03
Portfolio prioritisationSpend, competition, exclusivity and inspection history for a portfolio or a target list, on the same fields for every molecule.Package 09
Buyer and corridor discoveryWhich companies buy a product, in which markets, at what price and in what quantity, and which corridors are growing.Packages 07 · 08
Industry payment mappingWhich companies pay which clinicians, how much and for what, read alongside what those clinicians prescribe.Packages 05 · 01
Policy and price exposureWhich molecules sit in the path of negotiation and price-cap policy, ranked by the paid spend actually at risk.Packages 01 · 02

Every one of these is answered from the same files, on the same molecule key. If the question you need answered is not on this list, tell us what it is and we will name the packages it needs.

Questions we are asked

Before you request a package.

What format does it come in?

Parquet and CSV, one file per table, with a manifest listing every file. A single DuckDB file on request, so the whole package opens in one step. Column names and types are the same across formats.

How is it refreshed?

Each register is re-read when its next release is published. You receive the new files, a new vintage manifest naming the release, and a new integrity report with the updated counts. Earlier vintages are kept, not overwritten.

Can we join it to our data?

Yes. Every record carries the canonical molecule key, and the reference package supplies the codes and crosswalks that map your product, provider and plan identifiers onto the same keys. Join on one column, not on names.

Can we buy one family only?

Yes. The six Atlas packages above are each one or more families, and a single family can be taken on its own. The two trade packages are separate. The full Atlas is for teams that want everything on one key.

Tell us which package.

Name the package or the families you need, and what you will load them into. We confirm the source terms, the current vintage and the delivery format, and reply with what the package contains.