# Medicare Part D Drug Spending Delta & Top Movers API (CMS) (`malonestar/cms-part-d-prescriber-delta`) Actor Year-over-year Medicare Part D drug spending deltas and top movers from the keyless CMS API. Get spend change %, per-claim and per-beneficiary cost change, claims and beneficiary deltas, and CAGR per drug. Filter by drug, manufacturer, min spend or min change. No API key. - **URL**: https://apify.com/malonestar/cms-part-d-prescriber-delta.md - **Developed by:** [Kyle Maloney](https://apify.com/malonestar) (community) - **Categories:** Lead generation, Developer tools, MCP servers - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $8.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Medicare Part D Drug Spending Delta & Top Movers API (CMS) Track **year-over-year Medicare Part D drug spending changes** straight from the official, keyless CMS API — and instantly surface the **top movers**: the drugs whose Medicare spending, claims, beneficiary counts, and per-claim cost rose or fell the most between the two most recent years. Most CMS Part D scrapers hand you a flat dump of raw spending columns. This Actor does the analytics for you: it computes the **spend delta % per drug**, the **per-claim and per-beneficiary cost change**, the **beneficiary-count change**, and ranks the whole formulary by movement — so you go from data to insight in one run. Data source: the official **CMS "Medicare Part D Spending by Drug"** annual dataset on `data.cms.gov` (public, no API key, no login). The current edition covers **2019–2024** with ~14.5k drug/manufacturer rows. The Actor discovers the latest CMS distribution automatically, so it keeps working across annual releases. ### Who it's for - **Pharma pricing & market access** — see exactly where Medicare Part D dollars are moving and which competitors are gaining or losing spend and volume. - **PBMs & payers** — spot the drugs driving Part D cost growth (per-claim and per-beneficiary) for formulary and rebate strategy. - **Health-policy analysts & researchers** — quantify year-over-year drug cost trends with CMS's own change and CAGR figures included. - **Health journalists & watchdogs** — find the fastest-rising drugs by spend or utilization, ready to cite. - **Investors / equity research** — use Medicare claims, beneficiaries, and spend as a proxy for a drug's US market trajectory. ### Example input ```json { "mode": "top_movers", "minSpendLatest": 100000000, "sortBy": "spending_change_pct", "sortDirection": "desc", "topN": 100, "requireLatestYear": true } ```` Returns the 100 drugs (with at least $100M in latest-year Medicare Part D spending) whose total spending grew the most year over year. Search a single drug or manufacturer instead: ```json { "mode": "search", "drugName": "Ozempic" } ``` ```json { "mode": "search", "manufacturer": "Novo Nordisk", "sortBy": "total_spending_latest" } ``` ### Output fields (one record per drug, or per manufacturer) | Field | Description | | --- | --- | | `brand_name`, `generic_name` | Drug brand and generic name | | `manufacturer_name`, `manufacturer_count` | Manufacturer (or `Overall`); number of manufacturers | | `latest_year`, `prior_year`, `first_year`, `years_covered` | Data-year context for the delta | | `total_spending_latest` / `_prior` | Total Medicare Part D spending (USD) | | `spending_change_pct`, `spending_change_abs` | Year-over-year total-spending change (% and $) | | `total_claims_latest` / `_prior`, `claims_change_pct` | Claims (fills) and their YoY change | | `total_beneficiaries_latest` / `_prior`, `beneficiaries_change_pct` | Beneficiaries and their YoY change | | `avg_spend_per_claim_latest` / `_prior` / `_change_pct` | Average spend per claim and its YoY change | | `avg_spend_per_beneficiary_latest` / `_prior` / `_change_pct` | Average spend per beneficiary and its YoY change | | `avg_spend_per_dosage_unit_latest` / `_prior` / `_change_pct` | Weighted average spend per dosage unit and its YoY change | | `total_dosage_units_latest` | Total dosage units dispensed (latest year) | | `cms_chg_avg_spend_per_dosage_unit`, `cms_chg_year_pair` | CMS-supplied per-unit change and its year pair | | `cms_cagr_avg_spend_per_dosage_unit`, `cms_cagr_year_range` | CMS-supplied per-unit CAGR and its year range | | `outlier_flag_latest` | CMS high-cost outlier flag (latest year) | | `spending_trend` | `rising` / `falling` / `flat` | | `source_system`, `source_url` | Provenance | ### Use as an MCP tool This Actor is a clean, chainable tool for AI agents (Claude, Cursor, ChatGPT, etc.) via [mcp.apify.com](https://mcp.apify.com). Field-level output descriptions let an agent ask questions like "which Part D drugs had the biggest spending increase last year?" or "how did per-claim cost for Ozempic change?" and get structured, ready-to-reason answers. ### FAQ **Do I need a CMS account or API key?** No. The Actor uses the public CMS data API, which requires no authentication. **What years does it cover?** The current CMS annual edition covers 2019–2024. Each drug's delta compares its two most recent reported years. The Actor auto-detects the newest edition on every run. **What does "top movers" mean?** Drugs ranked by the size of their year-over-year change — by default the biggest total-spending increases. Switch `sortBy` / `sortDirection` to rank by per-claim cost change, beneficiary change, or absolute dollars, and set `sortDirection: "asc"` to find the biggest declines. **Why is a drug missing from top movers?** By default `requireLatestYear` keeps only drugs reporting in the newest year (so every comparison is the same fresh period). Set it to `false` to include drugs that stopped reporting earlier. **One row per drug or per manufacturer?** By default you get one `Overall` row per drug. Set `includeManufacturerBreakdown: true` (or filter by `manufacturer`) to also get per-manufacturer rows. **Is the data commercial-use OK?** CMS publishes this as public U.S. Government data. Attribution to CMS is appreciated; verify your specific use against your industry's rules. ### Pricing Pay-per-result: you are billed per drug record written to the dataset. Empty result sets cost effectively nothing beyond the tiny Actor start. # Actor input Schema ## `mode` (type: `string`): "top\_movers" ranks drugs by the size of their year-over-year spending change (best for finding price/utilization movers). "search" returns every drug matching your filters, still sorted by the chosen field. ## `drugName` (type: `string`): Case-insensitive substring match against the brand name and generic name (e.g. "Ozempic", "Semaglutide", "insulin"). Leave empty to include all drugs. ## `manufacturer` (type: `string`): Case-insensitive substring match against the manufacturer name (e.g. "Novo Nordisk", "Pfizer"). Supplying this automatically includes the per-manufacturer rows (not just the drug's "Overall" summary). ## `minSpendLatest` (type: `integer`): Only include drugs whose most recent year of total Medicare Part D spending is at least this many US dollars. Use it to focus on high-impact drugs and filter out long-tail noise. ## `minAbsChangePct` (type: `integer`): Only include drugs whose absolute year-over-year total-spending change is at least this percent (e.g. 25 keeps drugs that rose or fell by 25%+). 0 disables the filter. ## `sortBy` (type: `string`): Metric used to rank results. ## `sortDirection` (type: `string`): "desc" surfaces the biggest increases (or highest values) first; "asc" surfaces the biggest decreases (or lowest values) first. ## `requireLatestYear` (type: `boolean`): When true (recommended), only include drugs whose most recent data year equals the dataset's newest year, so every result is the same fresh year-over-year comparison and discontinued drugs are excluded. Turn off to include drugs that stopped reporting in earlier years. ## `includeManufacturerBreakdown` (type: `boolean`): When false (default), returns one "Overall" row per drug. When true, also returns a row per manufacturer for each drug (useful for multi-source generics). ## `topN` (type: `integer`): In "top\_movers" mode, cap the output to the top N ranked drugs after filtering and sorting. ## `maxResults` (type: `integer`): Hard cap on the number of records written to the dataset (billed as results). ## Actor input object example ```json { "mode": "top_movers", "minSpendLatest": 100000000, "minAbsChangePct": 0, "sortBy": "spending_change_pct", "sortDirection": "desc", "requireLatestYear": true, "includeManufacturerBreakdown": false, "topN": 100, "maxResults": 5000 } ``` # Actor output Schema ## `results` (type: `string`): The default dataset with one record per drug (or per manufacturer). # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "mode": "top_movers", "minSpendLatest": 100000000, "sortBy": "spending_change_pct", "sortDirection": "desc", "requireLatestYear": true, "topN": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("malonestar/cms-part-d-prescriber-delta").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "mode": "top_movers", "minSpendLatest": 100000000, "sortBy": "spending_change_pct", "sortDirection": "desc", "requireLatestYear": True, "topN": 100, } # Run the Actor and wait for it to finish run = client.actor("malonestar/cms-part-d-prescriber-delta").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "mode": "top_movers", "minSpendLatest": 100000000, "sortBy": "spending_change_pct", "sortDirection": "desc", "requireLatestYear": true, "topN": 100 }' | apify call malonestar/cms-part-d-prescriber-delta --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=malonestar/cms-part-d-prescriber-delta", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Medicare Part D Drug Spending Delta & Top Movers API (CMS)", "description": "Year-over-year Medicare Part D drug spending deltas and top movers from the keyless CMS API. Get spend change %, per-claim and per-beneficiary cost change, claims and beneficiary deltas, and CAGR per drug. Filter by drug, manufacturer, min spend or min change. No API key.", "version": "1.0", "x-build-id": "xEMaF5xXlkxygBbSz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/malonestar~cms-part-d-prescriber-delta/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-malonestar-cms-part-d-prescriber-delta", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/malonestar~cms-part-d-prescriber-delta/runs": { "post": { "operationId": "runs-sync-malonestar-cms-part-d-prescriber-delta", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/malonestar~cms-part-d-prescriber-delta/run-sync": { "post": { "operationId": "run-sync-malonestar-cms-part-d-prescriber-delta", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "mode": { "title": "Mode", "enum": [ "top_movers", "search" ], "type": "string", "description": "\"top_movers\" ranks drugs by the size of their year-over-year spending change (best for finding price/utilization movers). \"search\" returns every drug matching your filters, still sorted by the chosen field.", "default": "top_movers" }, "drugName": { "title": "Drug name (brand or generic)", "type": "string", "description": "Case-insensitive substring match against the brand name and generic name (e.g. \"Ozempic\", \"Semaglutide\", \"insulin\"). Leave empty to include all drugs." }, "manufacturer": { "title": "Manufacturer", "type": "string", "description": "Case-insensitive substring match against the manufacturer name (e.g. \"Novo Nordisk\", \"Pfizer\"). Supplying this automatically includes the per-manufacturer rows (not just the drug's \"Overall\" summary)." }, "minSpendLatest": { "title": "Minimum latest-year total spending (USD)", "minimum": 0, "type": "integer", "description": "Only include drugs whose most recent year of total Medicare Part D spending is at least this many US dollars. Use it to focus on high-impact drugs and filter out long-tail noise.", "default": 0 }, "minAbsChangePct": { "title": "Minimum absolute YoY spending change (%)", "minimum": 0, "type": "integer", "description": "Only include drugs whose absolute year-over-year total-spending change is at least this percent (e.g. 25 keeps drugs that rose or fell by 25%+). 0 disables the filter.", "default": 0 }, "sortBy": { "title": "Sort by", "enum": [ "spending_change_pct", "spending_change_abs", "per_claim_change_pct", "per_beneficiary_change_pct", "beneficiaries_change_pct", "total_spending_latest" ], "type": "string", "description": "Metric used to rank results.", "default": "spending_change_pct" }, "sortDirection": { "title": "Sort direction", "enum": [ "desc", "asc" ], "type": "string", "description": "\"desc\" surfaces the biggest increases (or highest values) first; \"asc\" surfaces the biggest decreases (or lowest values) first.", "default": "desc" }, "requireLatestYear": { "title": "Compare same period only", "type": "boolean", "description": "When true (recommended), only include drugs whose most recent data year equals the dataset's newest year, so every result is the same fresh year-over-year comparison and discontinued drugs are excluded. Turn off to include drugs that stopped reporting in earlier years.", "default": true }, "includeManufacturerBreakdown": { "title": "Include per-manufacturer rows", "type": "boolean", "description": "When false (default), returns one \"Overall\" row per drug. When true, also returns a row per manufacturer for each drug (useful for multi-source generics).", "default": false }, "topN": { "title": "Top N (top_movers mode)", "minimum": 1, "maximum": 20000, "type": "integer", "description": "In \"top_movers\" mode, cap the output to the top N ranked drugs after filtering and sorting.", "default": 100 }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 20000, "type": "integer", "description": "Hard cap on the number of records written to the dataset (billed as results).", "default": 5000 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```