# NADAC Drug Pricing API — Weekly NDC Price Movers (`malonestar/nadac-price-movers`) Actor Drug pricing API built on CMS/Medicaid NADAC weekly data: per-NDC price time series, week-over-week deltas, and biggest-mover spike/drop detection. Filter by NDC or drug name over any date window to track generic drug price changes. Keyless, official source. - **URL**: https://apify.com/malonestar/nadac-price-movers.md - **Developed by:** [Kyle Maloney](https://apify.com/malonestar) (community) - **Categories:** Developer tools, Automation, AI - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## NADAC Drug Pricing API — Weekly NDC Price Deltas & Spike Detector A **drug pricing API** built on **CMS/Medicaid NADAC** weekly data. Turns raw NADAC files into a **movement layer**: per-**NDC** price time series, **week-over-week price deltas**, and biggest-mover **spike/drop detection**. Filter by NDC or drug name over any date window to track **generic drug price changes**. Keyless, official source. ### Who it's for - **Pharmacy & PBM** analysts monitoring acquisition-cost changes. - **Pharma pricing & market-access** teams watching competitor NDCs. - **Investors & researchers** flagging unusual drug-price spikes. - **AI agents** needing a "drug price change" tool. ### What it does Pulls NADAC weekly pricing, builds a per-NDC time series, computes week-over-week percent and absolute deltas, and ranks the biggest movers. Filter to a specific NDC or drug name, choose an increase/decrease direction, and set a minimum percent change to surface only meaningful moves (shortage signals, repricing, etc.). ### Example input ```json { "drugName": "amoxicillin", "daysBack": 90, "minPctChange": 10, "direction": "increase", "maxResults": 200 } ```` ### Output (per NDC movement) `ndc`, `drug_name`, `current_price`, `prior_price`, `pct_change`, `abs_change`, `current_week`, `prior_week`, and a short `history[]` time series. ### Use as an MCP tool Exposed to AI agents via `mcp.apify.com` as a "NADAC drug price movers" tool — name or NDC in, structured price-change records out. ### FAQ **What is NADAC?** The National Average Drug Acquisition Cost — CMS's weekly pharmacy acquisition-cost benchmark. **Can I track one drug?** Yes — filter by `ndc` or `drugName`. **How do I catch spikes?** Set `minPctChange` and `direction`. **Is it keyless?** Yes, official CMS/Medicaid source. ### Source **data.medicaid.gov** NADAC datasets (DKAN2 datastore, paginated at 500/req). Official, keyless. ### Pricing (Pay Per Result) Billed per movement record returned. Empty windows cost nothing. # Actor input Schema ## `ndc` (type: `string`): Exact 11-digit National Drug Code to track over time (e.g. 47781053084). Provide this and/or Drug name to focus the run. ## `drugName` (type: `string`): Substring matched against the NDC description (case-insensitive), e.g. METFORMIN or CICLOPIROX. Builds a time series for every matching NDC. ## `daysBack` (type: `integer`): Size of the look-back window in days ending today, used to build the price history. Ignored if 'Since date' is set. ## `sinceDate` (type: `string`): Start of the price-history window as YYYY-MM-DD. Overrides 'Days back' when provided. Multi-year windows automatically span the yearly NADAC datasets. ## `minPctChange` (type: `integer`): Only emit NDCs whose absolute week-over-week percent change is at least this value. Set 0 to emit every NDC with history. ## `direction` (type: `string`): Which movers to keep: 'up' (price increases only), 'down' (price drops only), or 'all'. ## `maxResults` (type: `integer`): Maximum number of NDC mover records to return, after ranking by biggest absolute percent move. ## Actor input object example ```json { "drugName": "atorvastatin", "daysBack": 180, "minPctChange": 0, "direction": "all", "maxResults": 50 } ``` # Actor output Schema ## `results` (type: `string`): Per-NDC drug price movers with week-over-week deltas, in the default dataset. # 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 = { "drugName": "atorvastatin", "daysBack": 180, "direction": "all", "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("malonestar/nadac-price-movers").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 = { "drugName": "atorvastatin", "daysBack": 180, "direction": "all", "maxResults": 50, } # Run the Actor and wait for it to finish run = client.actor("malonestar/nadac-price-movers").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 '{ "drugName": "atorvastatin", "daysBack": 180, "direction": "all", "maxResults": 50 }' | apify call malonestar/nadac-price-movers --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=malonestar/nadac-price-movers", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NADAC Drug Pricing API — Weekly NDC Price Movers", "description": "Drug pricing API built on CMS/Medicaid NADAC weekly data: per-NDC price time series, week-over-week deltas, and biggest-mover spike/drop detection. Filter by NDC or drug name over any date window to track generic drug price changes. Keyless, official source.", "version": "1.0", "x-build-id": "VsYl7AUwRRKGUnghq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/malonestar~nadac-price-movers/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-malonestar-nadac-price-movers", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/malonestar~nadac-price-movers/runs": { "post": { "operationId": "runs-sync-malonestar-nadac-price-movers", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/malonestar~nadac-price-movers/run-sync": { "post": { "operationId": "run-sync-malonestar-nadac-price-movers", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "ndc": { "title": "NDC", "type": "string", "description": "Exact 11-digit National Drug Code to track over time (e.g. 47781053084). Provide this and/or Drug name to focus the run." }, "drugName": { "title": "Drug name contains", "type": "string", "description": "Substring matched against the NDC description (case-insensitive), e.g. METFORMIN or CICLOPIROX. Builds a time series for every matching NDC." }, "daysBack": { "title": "Days back (rolling window)", "minimum": 7, "maximum": 3650, "type": "integer", "description": "Size of the look-back window in days ending today, used to build the price history. Ignored if 'Since date' is set.", "default": 90 }, "sinceDate": { "title": "Since date (YYYY-MM-DD)", "type": "string", "description": "Start of the price-history window as YYYY-MM-DD. Overrides 'Days back' when provided. Multi-year windows automatically span the yearly NADAC datasets." }, "minPctChange": { "title": "Minimum % change", "minimum": 0, "maximum": 100000, "type": "integer", "description": "Only emit NDCs whose absolute week-over-week percent change is at least this value. Set 0 to emit every NDC with history.", "default": 0 }, "direction": { "title": "Direction filter", "enum": [ "all", "up", "down" ], "type": "string", "description": "Which movers to keep: 'up' (price increases only), 'down' (price drops only), or 'all'.", "default": "all" }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of NDC mover records to return, after ranking by biggest absolute percent move.", "default": 1000 } } }, "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 } } } } } } } } } } ```