# Clinical Study Change Ledger (`flintglade/clinical-study-change-ledger`) Actor Monitor ClinicalTrials.gov study records and emit deterministic, evidence-linked change ledgers with baseline comparison, administrative-field controls, and reproducible artifact hashes. - **URL**: https://apify.com/flintglade/clinical-study-change-ledger.md - **Developed by:** [Flintglade](https://apify.com/flintglade) (community) - **Categories:** Other, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 study checks This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Clinical Study Change Ledger Create source-linked change ledgers for specified ClinicalTrials.gov study records, separating administrative changes from potentially material protocol, recruitment, enrollment, outcome, eligibility, location, results, and IPD changes. ### Non-goals - No medical advice, treatment recommendation, eligibility recommendation, or patient-level decision. - No prediction of trial success or interpretation of clinical significance. - No non-official scraping, private patient data, or claim that a registry record is complete or independently verified. ### Source and input The Actor uses only the official ClinicalTrials.gov API v2 structured study and version endpoints. Submit 1-500 NCT IDs, selected modules, optional persistent `baselineStoreId`, administrative-change preference, raw-record preference, and concurrency 1-10. ```json {"studyIds":["NCT00000102"],"modules":["identification","status","design","outcomes","eligibility"],"includeAdministrativeChanges":true,"concurrency":1} ```` ### Output and state Each row reports the NCT ID, official status, baseline state, exact official JSON field paths, module deltas, source URL/hash/API version/timestamp, potentially-material labels without medical meaning, artifacts, and limitations. Persistent baselines are journaled and advance only after Apify confirms the paid event. Because the result row is emitted as part of charging, its `baseline.committed` value remains false at emission; the run summary's commit counts are the final authority. A missing record remains uncharged until two successful official-API observations at least six hours apart. ### Pricing `study-check` costs **$0.02 per terminal study check**. Baseline creation, unchanged/changed reports, and confirmed terminal missing evidence are charged. Invalid IDs, transient/rate/schema failures, and first missing observations are uncharged. Maximum event cost is admitted checks multiplied by $0.02, plus platform usage. ### Resources and data handling Minimum 256 MB, default 512 MB, maximum 1024 MB, timeout 300 seconds, maximum 5 MB per response, and maximum ten concurrent requests. Optional raw official records are stored in caller-owned KVS. Delete run storage and the chosen baseline KVS to remove retained data. Registry data is source-reported, may be incomplete, and is not medical advice or independent verification. Support: support@flintglade.com # Actor input Schema ## `inputSchemaVersion` (type: `integer`): Fixed input contract version. Leave this set to 1. ## `studyIds` (type: `array`): NCT followed by eight digits. ## `baselineStoreId` (type: `string`): Optional persistent key-value store used to compare records across runs. ## `modules` (type: `array`): Official ClinicalTrials.gov study modules to include in the comparison. ## `includeAdministrativeChanges` (type: `boolean`): Include source administrative timestamps and similar metadata in comparisons. ## `includeRaw` (type: `boolean`): Store each fetched official API record as a run key-value-store artifact. ## `concurrency` (type: `integer`): Maximum simultaneous official API requests, from 1 through 10. ## Actor input object example ```json { "inputSchemaVersion": 1, "studyIds": [ "NCT00000102" ], "modules": [ "identification", "status", "design", "outcomes", "eligibility" ], "includeAdministrativeChanges": true, "includeRaw": false, "concurrency": 5 } ``` # Actor output Schema ## `defaultDataset` (type: `string`): No description ## `artifactManifest` (type: `string`): No description # 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 = { "studyIds": [ "NCT00000102" ] }; // Run the Actor and wait for it to finish const run = await client.actor("flintglade/clinical-study-change-ledger").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 = { "studyIds": ["NCT00000102"] } # Run the Actor and wait for it to finish run = client.actor("flintglade/clinical-study-change-ledger").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 '{ "studyIds": [ "NCT00000102" ] }' | apify call flintglade/clinical-study-change-ledger --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=flintglade/clinical-study-change-ledger", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Clinical Study Change Ledger", "description": "Monitor ClinicalTrials.gov study records and emit deterministic, evidence-linked change ledgers with baseline comparison, administrative-field controls, and reproducible artifact hashes.", "version": "0.1", "x-build-id": "1a2VexSJQGQU543jq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/flintglade~clinical-study-change-ledger/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-flintglade-clinical-study-change-ledger", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/flintglade~clinical-study-change-ledger/runs": { "post": { "operationId": "runs-sync-flintglade-clinical-study-change-ledger", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/flintglade~clinical-study-change-ledger/run-sync": { "post": { "operationId": "run-sync-flintglade-clinical-study-change-ledger", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "studyIds" ], "properties": { "inputSchemaVersion": { "title": "Input schema version", "minimum": 1, "maximum": 1, "type": "integer", "description": "Fixed input contract version. Leave this set to 1.", "default": 1 }, "studyIds": { "title": "NCT study IDs", "minItems": 1, "maxItems": 500, "type": "array", "description": "NCT followed by eight digits.", "items": { "type": "string", "pattern": "^[Nn][Cc][Tt][0-9]{8}$" } }, "baselineStoreId": { "title": "Baseline key-value store", "maxLength": 100, "type": "string", "description": "Optional persistent key-value store used to compare records across runs." }, "modules": { "title": "Modules", "minItems": 1, "maxItems": 11, "uniqueItems": true, "type": "array", "description": "Official ClinicalTrials.gov study modules to include in the comparison.", "items": { "type": "string", "enum": [ "identification", "status", "sponsor", "design", "arms", "interventions", "outcomes", "eligibility", "contactsLocations", "results", "IPD" ] }, "default": [ "identification", "status", "design", "outcomes", "eligibility" ] }, "includeAdministrativeChanges": { "title": "Include administrative changes", "type": "boolean", "description": "Include source administrative timestamps and similar metadata in comparisons.", "default": true }, "includeRaw": { "title": "Store raw official record", "type": "boolean", "description": "Store each fetched official API record as a run key-value-store artifact.", "default": false }, "concurrency": { "title": "Concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum simultaneous official API requests, from 1 through 10.", "default": 5 } } }, "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 } } } } } } } } } } ```