# Clinical Trials Intelligence & Pipeline Monitor (`fayoussef/clinical-trials-intelligence`) Actor Scrape ClinicalTrials.gov via the official API. Search 500k+ trials, monitor competitor pipelines, and extract investigator & site contacts. No API key - **URL**: https://apify.com/fayoussef/clinical-trials-intelligence.md - **Developed by:** [youssef farhan](https://apify.com/fayoussef) (community) - **Categories:** Developer tools, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 results 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.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 ## Clinical Trials Intelligence & Pipeline Monitor **Turn ClinicalTrials.gov into a structured competitive-intelligence feed.** Search 500,000+ clinical studies by condition, sponsor, drug, status and phase, get clean JSON/CSV/Excel records, **monitor competitor drug pipelines** with new-trial and status-change alerts, and **enrich investigator & study-site contacts** (name, role, phone, email) for BD, recruiting and site outreach. Built directly on the **official ClinicalTrials.gov v2 API** โ€” no API key, no login, no proxies, no blocking. Just fast, reliable, structured trial data. --- ### What it does - ๐Ÿ”Ž **Search the full registry** โ€” query 500K+ trials by condition/disease, lead sponsor, intervention/drug, free text, location, recruitment status and trial phase. - ๐Ÿงฌ **Clean, structured records** โ€” 40+ flattened fields per trial: identifiers, status, phases, conditions, interventions, sponsor + collaborators, enrollment, key dates, eligibility, locations and a study summary. - ๐Ÿ“ก **Pipeline monitoring** โ€” point a scheduled run at a competitor or therapeutic area and the Actor flags every **new trial** (`isNew`) and every **status change** (`statusChanged`, with `previousStatus`) since the last run. Perfect for a daily/weekly "what changed in my space" digest. - ๐Ÿ“‡ **Investigator & site contact enrichment** โ€” extract central contacts, overall officials (principal investigators) and per-site contacts with phone/email for trial-site outreach, patient-recruitment vendors and clinical BD. - โšก **Reliable & high-margin** โ€” official open API, retry/backoff on rate limits, correct pagination, streamed output. No residential proxies required. ### Who it's for Pharma & biotech competitive-intelligence teams ยท clinical operations & feasibility ยท CROs and site networks ยท patient-recruitment companies ยท medical-device and diagnostics BD ยท biotech investors & analysts ยท medical writers and researchers ยท AI/RAG dataset builders. --- ### Quick start 1. Click **Try for free**. 2. Enter a **condition** (e.g. `non-small cell lung cancer`) and/or a **sponsor** (e.g. `Pfizer`). 3. Optionally pick a **recruitment status** (e.g. *Recruiting*) and **phases**. 4. Set **Maximum trials** and click **Start**. 5. Download results as **JSON, CSV or Excel**, or pull them from the dataset API. #### Example input โ€” track a competitor's active oncology pipeline ```json { "conditions": ["non-small cell lung cancer"], "sponsor": "Pfizer", "status": ["RECRUITING", "NOT_YET_RECRUITING", "ACTIVE_NOT_RECRUITING"], "phases": ["PHASE2", "PHASE3"], "sortBy": "LAST_UPDATE_DESC", "maxItems": 200, "enrichContacts": true } ```` #### Example input โ€” weekly change monitor (recurring) Schedule this and the Actor will report only what's new or changed each run: ```json { "conditions": ["multiple sclerosis"], "status": ["RECRUITING", "NOT_YET_RECRUITING"], "sortBy": "LAST_UPDATE_DESC", "maxItems": 0, "stateStoreName": "ctgov-ms-monitor" } ``` > Tip: use a unique `stateStoreName` per monitored topic. The first run records a baseline (everything is `isNew: true`); later runs flag only the deltas. *** ### Input reference | Field | Type | Description | |-------|------|-------------| | `conditions` | array | Disease/condition terms; combined with OR. | | `sponsor` | string | Lead sponsor or collaborator name. | | `interventions` | array | Drug/device/procedure names; combined with OR. | | `terms` | string | Free-text query across the whole record. | | `location` | string | City, state or country of study sites. | | `status` | array | Overall recruitment statuses (e.g. `RECRUITING`). | | `phases` | array | Trial phases (`PHASE1`โ€ฆ`PHASE4`, `EARLY_PHASE1`). | | `sortBy` | string | `RELEVANCE`, `LAST_UPDATE_DESC` or `START_DATE_DESC`. | | `maxItems` | integer | Max trials. `0` = no limit. Free plans capped at 25. | | `enrichContacts` | boolean | Extract investigator/site contacts (premium event). Default `true`. | | `includeRawProtocol` | boolean | Append the full raw `protocolSection`. Default `false`. | | `stateStoreName` | string | Named key-value store for cross-run change tracking. | *** ### Output sample ```json { "nctId": "NCT01234567", "url": "https://clinicaltrials.gov/study/NCT01234567", "briefTitle": "A Study of Drug X in Advanced NSCLC", "overallStatus": "RECRUITING", "studyType": "INTERVENTIONAL", "phases": ["PHASE2"], "conditions": ["Non-small Cell Lung Cancer"], "interventions": [{ "type": "DRUG", "name": "Drug X" }], "leadSponsor": "Example Pharma Inc.", "leadSponsorClass": "INDUSTRY", "collaborators": ["University Cancer Center"], "enrollmentCount": 240, "enrollmentType": "ESTIMATED", "startDate": "2025-03-01", "primaryCompletionDate": "2027-06-30", "lastUpdatePostDate": "2026-05-20", "sex": "ALL", "minimumAge": "18 Years", "countries": ["United States", "Germany"], "locationsCount": 32, "contactCount": 3, "centralContacts": [ { "name": "Clinical Trials Office", "role": "CONTACT", "phone": "+1 800-555-0100", "email": "trials@example.com" } ], "overallOfficials": [ { "name": "Jane Smith, MD", "role": "PRINCIPAL_INVESTIGATOR", "affiliation": "Example Pharma Inc." } ], "siteContacts": [ { "facility": "University Cancer Center", "city": "Boston", "state": "Massachusetts", "country": "United States", "status": "RECRUITING", "contacts": [{ "name": "Study Coordinator", "phone": "+1 617-555-0142", "email": "coord@ucc.example" }] } ], "isNew": true, "statusChanged": false, "previousStatus": null, "scrapedAt": "2026-05-30T12:00:00+00:00" } ``` *** ### Pricing (pay-per-event) This Actor uses Apify's **pay-per-event** model โ€” you pay for what you actually get, not for compute time. | Event | What triggers it | Recommended price | |-------|------------------|-------------------| | **Actor start** (`apify-actor-start`) | Once when a run starts (per GB of memory) | Platform default | | **Trial result** (`apify-default-dataset-item`) | Each trial record written to the dataset | **$0.004 / trial** | | **Investigator contact** (`investigator-contact`) | Each trial where โ‰ฅ1 reachable contact (phone/email) is enriched | **$0.02 / enriched trial** | > The **Trial result** charge is the synthetic `apify-default-dataset-item` event โ€” the platform charges it automatically when a record is pushed. The **Investigator contact** charge fires only when contact enrichment actually succeeds, so you never pay for empty enrichment. Set `enrichContacts: false` to disable the premium event entirely. **Example:** 500 trials with contacts on 200 of them โ‰ˆ `500 ร— $0.004` + `200 ร— $0.02` = **$6.00** plus a few cents of start fee. > **For the Actor owner:** event names are defined in code (`apify-default-dataset-item`, `investigator-contact`, `apify-actor-start`) but **prices are set in Apify Console โ†’ Publication โ†’ Monetization**, not in `actor.json`. Configure the three events with the prices above (leave Actor start at default). The names in Console must match the code exactly. #### Free plan Free Apify accounts are capped at **25 trials per run**. Upgrade to any paid plan for unlimited results and full enrichment. (Plan detection fails open โ€” if your plan can't be read, you're treated as paid and never throttled.) *** ### Use cases - **Competitive pipeline intelligence** โ€” track every trial a competitor sponsors, by phase and status, and get alerted when something moves. - **Therapeutic-area landscaping** โ€” map all active trials for an indication, including enrollment, geography and sponsors. - **Clinical-trial site & PI outreach** โ€” build contact lists of investigators and study sites for partnerships, recruitment or sales. - **Feasibility & site selection** โ€” find where trials for a condition are running and who's involved. - **Investor due diligence** โ€” monitor a portfolio company's or target's clinical activity. - **AI / RAG datasets** โ€” generate clean, structured clinical-trial corpora for LLM applications. *** ### FAQ **Does this use the official ClinicalTrials.gov API?** Yes โ€” the modern **v2 REST API**. No scraping of HTML pages, no API key, no proxies. **How fresh is the data?** It's live: each run queries ClinicalTrials.gov in real time. Sort by *Most recently updated* and schedule runs for near-real-time monitoring. **How does change tracking work?** Provide a `stateStoreName`. The Actor remembers the trials (and their statuses) it has seen in a named key-value store, then flags `isNew` and `statusChanged` on subsequent runs. Without it, every run is a fresh one-off pull. **Where do contacts come from?** Only from the public `contactsLocationsModule` that sponsors themselves publish on ClinicalTrials.gov โ€” central contacts, overall officials and study-site contacts. **Can I get every field?** Set `includeRawProtocol: true` to append the complete raw `protocolSection` alongside the cleaned fields. **Why are some trials missing contacts?** Not every sponsor publishes contact details, and completed trials often remove them. You're only billed the contact event for trials that actually have a reachable contact. *** ### Responsible use This Actor returns **public information** that sponsors voluntarily publish on the U.S. National Library of Medicine's ClinicalTrials.gov registry. Contact details are intended by sponsors for trial-related inquiries. Use them lawfully and respectfully: comply with applicable anti-spam, privacy and data-protection laws (e.g. GDPR/CAN-SPAM), honor opt-outs, and do not use the data to contact or identify patients. This tool is for professional research, business development and analytics โ€” not for medical advice. Data source: [ClinicalTrials.gov](https://clinicaltrials.gov) ยท [v2 API documentation](https://clinicaltrials.gov/data-api/api) # Actor input Schema ## `conditions` (type: `array`): Disease or condition terms (e.g. "non-small cell lung cancer", "type 2 diabetes"). Multiple values are combined with OR. ## `sponsor` (type: `string`): Lead sponsor or collaborator name to track a specific company's or institution's pipeline (e.g. "Pfizer", "Memorial Sloan Kettering"). ## `interventions` (type: `array`): Drug, device or procedure names (e.g. "pembrolizumab"). Multiple values are combined with OR. ## `terms` (type: `string`): Free-text query applied across the whole study record. Supports ClinicalTrials.gov search syntax. ## `location` (type: `string`): Geographic filter for study sites โ€” city, state or country (e.g. "Boston", "Germany"). ## `status` (type: `array`): Limit to one or more overall recruitment statuses. Leave empty for all statuses. ## `phases` (type: `array`): Limit to one or more clinical trial phases. Leave empty for all phases. (Note: NA / non-applicable studies are excluded when any phase is selected.) ## `sortBy` (type: `string`): How to order results. "Most recently updated" is recommended for scheduled monitoring so new and changed trials surface first. ## `maxItems` (type: `integer`): Maximum number of trials to return. Set to 0 for no limit (fetch every matching trial). Free Apify plans are capped at 25 results. ## `enrichContacts` (type: `boolean`): Extract and structure central contacts, overall officials (principal investigators) and study-site contacts (name, role, phone, email). This is the premium enrichment and is billed only for trials where at least one contact is found. ## `includeRawProtocol` (type: `boolean`): Append the complete raw ClinicalTrials.gov protocolSection object to every record for power users who need every field. Increases output size. ## `stateStoreName` (type: `string`): Optional. Name of a named key-value store used to remember trials seen in previous runs. When set, each record is flagged with isNew and statusChanged so scheduled runs become a pipeline-change monitor. Leave empty for a one-off run (no change tracking). ## `pageSize` (type: `integer`): Advanced: number of trials fetched per ClinicalTrials.gov API request (1โ€“1000). Larger pages mean fewer requests. Leave at the default unless tuning performance. ## `maxRetries` (type: `integer`): Advanced: how many times to retry a ClinicalTrials.gov request on rate-limit (429) or server (5xx) errors before giving up. ## Actor input object example ```json { "conditions": [ "non-small cell lung cancer", "melanoma" ], "sponsor": "Pfizer", "interventions": [ "pembrolizumab" ], "terms": "EGFR mutation", "location": "Boston", "status": [ "RECRUITING", "NOT_YET_RECRUITING" ], "phases": [ "PHASE2", "PHASE3" ], "sortBy": "RELEVANCE", "maxItems": 100, "enrichContacts": true, "includeRawProtocol": false, "stateStoreName": "ctgov-pfizer-nsclc-monitor", "pageSize": 100, "maxRetries": 5 } ``` # Actor output Schema ## `trials` (type: `string`): All extracted and enriched clinical trial records from this run. # 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 = { "conditions": [ "non-small cell lung cancer" ], "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("fayoussef/clinical-trials-intelligence").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "conditions": ["non-small cell lung cancer"], "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("fayoussef/clinical-trials-intelligence").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "conditions": [ "non-small cell lung cancer" ], "maxItems": 100 }' | apify call fayoussef/clinical-trials-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fayoussef/clinical-trials-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Clinical Trials Intelligence & Pipeline Monitor", "description": "Scrape ClinicalTrials.gov via the official API. Search 500k+ trials, monitor competitor pipelines, and extract investigator & site contacts. No API key", "version": "0.1", "x-build-id": "2xfqjJWauG0wMVfgg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fayoussef~clinical-trials-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fayoussef-clinical-trials-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fayoussef~clinical-trials-intelligence/runs": { "post": { "operationId": "runs-sync-fayoussef-clinical-trials-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fayoussef~clinical-trials-intelligence/run-sync": { "post": { "operationId": "run-sync-fayoussef-clinical-trials-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "conditions": { "title": "Conditions / diseases", "type": "array", "description": "Disease or condition terms (e.g. \"non-small cell lung cancer\", \"type 2 diabetes\"). Multiple values are combined with OR.", "items": { "type": "string" } }, "sponsor": { "title": "Sponsor / organization", "type": "string", "description": "Lead sponsor or collaborator name to track a specific company's or institution's pipeline (e.g. \"Pfizer\", \"Memorial Sloan Kettering\")." }, "interventions": { "title": "Interventions / drugs", "type": "array", "description": "Drug, device or procedure names (e.g. \"pembrolizumab\"). Multiple values are combined with OR.", "items": { "type": "string" } }, "terms": { "title": "Free-text search", "type": "string", "description": "Free-text query applied across the whole study record. Supports ClinicalTrials.gov search syntax." }, "location": { "title": "Location", "type": "string", "description": "Geographic filter for study sites โ€” city, state or country (e.g. \"Boston\", \"Germany\")." }, "status": { "title": "Recruitment status", "type": "array", "description": "Limit to one or more overall recruitment statuses. Leave empty for all statuses.", "items": { "type": "string", "enum": [ "RECRUITING", "NOT_YET_RECRUITING", "ENROLLING_BY_INVITATION", "ACTIVE_NOT_RECRUITING", "COMPLETED", "SUSPENDED", "TERMINATED", "WITHDRAWN", "AVAILABLE", "NO_LONGER_AVAILABLE", "WITHHELD", "UNKNOWN" ], "enumTitles": [ "Recruiting", "Not yet recruiting", "Enrolling by invitation", "Active, not recruiting", "Completed", "Suspended", "Terminated", "Withdrawn", "Available", "No longer available", "Withheld", "Unknown status" ] } }, "phases": { "title": "Trial phases", "type": "array", "description": "Limit to one or more clinical trial phases. Leave empty for all phases. (Note: NA / non-applicable studies are excluded when any phase is selected.)", "items": { "type": "string", "enum": [ "EARLY_PHASE1", "PHASE1", "PHASE2", "PHASE3", "PHASE4" ], "enumTitles": [ "Early Phase 1", "Phase 1", "Phase 2", "Phase 3", "Phase 4" ] } }, "sortBy": { "title": "Sort order", "enum": [ "RELEVANCE", "LAST_UPDATE_DESC", "START_DATE_DESC" ], "type": "string", "description": "How to order results. \"Most recently updated\" is recommended for scheduled monitoring so new and changed trials surface first.", "default": "RELEVANCE" }, "maxItems": { "title": "Maximum trials", "minimum": 0, "type": "integer", "description": "Maximum number of trials to return. Set to 0 for no limit (fetch every matching trial). Free Apify plans are capped at 25 results.", "default": 100 }, "enrichContacts": { "title": "Enrich investigator & site contacts", "type": "boolean", "description": "Extract and structure central contacts, overall officials (principal investigators) and study-site contacts (name, role, phone, email). This is the premium enrichment and is billed only for trials where at least one contact is found.", "default": true }, "includeRawProtocol": { "title": "Include raw protocol section", "type": "boolean", "description": "Append the complete raw ClinicalTrials.gov protocolSection object to every record for power users who need every field. Increases output size.", "default": false }, "stateStoreName": { "title": "Monitoring state store (for change tracking)", "type": "string", "description": "Optional. Name of a named key-value store used to remember trials seen in previous runs. When set, each record is flagged with isNew and statusChanged so scheduled runs become a pipeline-change monitor. Leave empty for a one-off run (no change tracking)." }, "pageSize": { "title": "API page size", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Advanced: number of trials fetched per ClinicalTrials.gov API request (1โ€“1000). Larger pages mean fewer requests. Leave at the default unless tuning performance.", "default": 100 }, "maxRetries": { "title": "Max retries per request", "minimum": 0, "maximum": 10, "type": "integer", "description": "Advanced: how many times to retry a ClinicalTrials.gov request on rate-limit (429) or server (5xx) errors before giving up.", "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 } } } } } } } } } } ```