Pharma Payment–Prescribing Exposure Analytics
Drug-brand-level analysis linking CMS Open Payments industry payments to Medicare Part D prescribing: 288 brands with paid-vs-unpaid prescriber behavior ratios, 92 specialty payment-penetration benchmarks, and a gated 734k-row physician-level exposure file.
- Records
- 735,002 records
- Refresh
- Annual (with each CMS release)
- Formats
- CSV + Parquet
- Coverage
- United States
- Packages
- 2
- Total volume
- 81.8 MB
Slices from
$299
Request access / Get a sampleSelf-serve checkout is coming online — request access and we reply within one business day.
What you get
- brand_influence — 288 drug brands: paid-prescriber share, claims & cost ratios of paid vs. unpaid prescribers, top paying manufacturer (public)
- specialty_payment_benchmarks — 92 specialties: payment penetration, median/mean payment, total Part D drug cost (public)
- npi_exposure — 734,622 physician-level exposure profiles with payment-per-$1k-drug-cost metric (gated, approval required)
- Methodology doc with honest association-not-causation framing + reproducible pipeline reference
Sample preview
First 50 rows of the real free-sample file — the identical schema you get in every package. Click a column to sort, or filter across all rows.
| ELIQUIS | 264286 | 32573 | 22996543.0 | 19876304796.020233 | 162.70444846959137 | 76.37366483537825 | 157246.85484910765 | 63674.90383802419 | 0.1232 | 2.13 | 2.47 |
| OZEMPIC | 171191 | 43778 | 9930484.0 | 12375986474.950047 | 82.92907396409156 | 49.44562171834899 | 107181.95248092664 | 60306.05165281406 | 0.2557 | 1.677 | 1.777 |
| JARDIANCE | 198275 | 39208 | 10654599.0 | 10678957371.72001 | 77.68575290756988 | 47.83327780117812 | 81252.76953733912 | 47107.18617752256 | 0.1977 | 1.624 | 1.725 |
| MOUNJARO | 97208 | 32033 | 4694896.0 | 5825295740.729962 | 60.979770861299286 | 42.06415036440353 | 76348.52629787999 | 51854.5975884925 | 0.3295 | 1.45 | 1.472 |
| TRELEGY ELLIPTA | 97673 | 24279 | 5725949.0 | 4832494642.929987 | 103.35825198731413 | 43.82529907076873 | 88320.122281395 | 36626.568848407114 | 0.2486 | 2.358 | 2.411 |
| TRULICITY | 101479 | 23 | 3816376.0 | 4786817612.430032 | 50.391304347826086 | 37.60464634915628 | 66766.10695652173 | 47166.081769141616 | 0.0002 | 1.34 | 1.416 |
| FARXIGA | 112099 | 25231 | 5036718.0 | 4661889792.390007 | 65.6549482779121 | 38.911659068932174 | 61806.43673179814 | 35714.55066549267 | 0.2251 | 1.687 | 1.731 |
| ENTRESTO | 62054 | 2580 | 3384891.0 | 3480046730.0299935 | 98.61860465116278 | 52.63568954501127 | 107700.18158914734 | 53841.683114133935 | 0.0416 | 1.874 | 2.0 |
| BIKTARVY | 9751 | 1546 | 781030.0 | 3202748091.09 | 145.58796895213453 | 67.75758683729433 | 587118.4496507116 | 279715.1697659965 | 0.1585 | 2.149 | 2.099 |
| XTANDI | 6244 | 2673 | 227932.0 | 3030169345.6500063 | 43.66105499438833 | 31.147017642117053 | 589368.4721249535 | 407389.3642285076 | 0.4281 | 1.402 | 1.447 |
50 rows · page 1 of 5
Download the free sample pack
Real rows with the identical schema — enter your work email and we issue a download link instantly. No credit card, no spam.
Coverage statistics
- Records
- 735,002
- Largest package
- 81.7 MB
Available packages
Real contents of the current builds — row counts, sizes and checksums come from the packaging manifest, not estimates.
| Slice | Scope | Rows | Size | Snapshot | Monthly |
|---|---|---|---|---|---|
| — | Pharma Payment Exposure — brand & specialty analytics | 380 | 145 KB | $299 | $99/mo |
Full package inventory
Every package registered in the delivery catalog for this dataset — 2 packages, 81.8 MB total, 735,382 rows. Sizes, row counts and SHA-256 checksums come straight from the packaging pipeline.
| Package | Date | Rows | Size | sha256 | Access |
|---|---|---|---|---|---|
| Loading 2 packages… | |||||
How to get this data
DataForge (this site)
External channels
No free external mirror yet — this dataset is delivered exclusively through DataForge. See the Open Data program →
# Machine-readable package index (size / sha256 / rows / channels)
curl -s https://data.zalize.com/datasets/pharma-payment-prescribing-exposure/packages.json | jq '.packages[0]'
# Request a free sample (signed link sent to your email)
curl -X POST https://dl.zalize.com/api/sample \
-H 'Content-Type: application/json' \
-d '{"dataset":"pharma-payment-prescribing-exposure","email":"you@company.com"}'Pricing
One-time snapshot or monthly subscription. Prices are for the Internal Analytics tier; AI-training and redistribution tiers available — see License. Tiers marked “Request access” require a short approval step before delivery.
| Tier | Scope | One-time snapshot | Subscription | Access |
|---|---|---|---|---|
| Pharma Payment Exposure — brand & specialty analytics | $299 | $99/mo | Self-serve | |
| POPULAR | Pharma Payment Exposure — physician-level (NPI) file | $999 | — | Request access |
AI-training use requires the AI-Training tier (1.5× base); redistribution licensing is quoted individually. Annual subscriptions get 2 months free. License details →
Update frequency & delivery
- Built from CMS Open Payments (PY2025) × Medicare Part D Prescriber (2024) — both official public-domain CMS releases.
- Physician-level file is never sold self-serve: gated with manual approval, per our PII policy.
Compliance & provenance
Collected only from publicly accessible pages and endpoints — no login-required data, no CAPTCHA solving, no forged authentication. Collection is rate-limited with an identified User-Agent, and collection logs are retained. PII is removed or pseudonymized. Every record carries its source URL and collection timestamp. Sold under a tiered commercial license.
FAQ
Does this prove payments cause prescribing?
No — the package measures association and exposure, not causation, and the methodology doc states this explicitly. It is designed for compliance screening and research prioritization.
How is the data delivered?
Public packages are delivered instantly after checkout; the physician-level exposure file requires a short approval step (gated).
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