# ClinicalTrials.gov Pharma Pipeline Monitor (`wiry_kingdom/clinicaltrials-pipeline-monitor`) Actor Track FDA-regulated clinical trials from ClinicalTrials.gov. Filter by condition, drug, sponsor, phase, status, country. Returns enrollment, dates, sites, investigators. Free NIH/NLM API. For pharma analysts, biotech investors, patient recruiters. - **URL**: https://apify.com/wiry\_kingdom/clinicaltrials-pipeline-monitor.md - **Developed by:** [Mohieldin Mohamed](https://apify.com/wiry_kingdom) (community) - **Categories:** Business, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## ClinicalTrials.gov Pharma Pipeline Monitor **Track every FDA-regulated clinical trial worldwide. Filter by disease, drug, sponsor, phase, status, or country. Free official NIH/NLM API. No key required.** This actor pulls directly from ClinicalTrials.gov API v2 — the NIH/NLM registry of all FDA-regulated clinical studies globally. Every Phase 1/2/3/4 trial, every sponsor (Pfizer, Moderna, Eli Lilly, tiny biotech startups), every condition. Used by pharma competitive intelligence teams, biotech investors, patient recruitment firms, and M&A due diligence. ### What you actually get (verified on real trials) Tested against real Phase 3 trials in high-value therapeutic areas: #### Eli Lilly Phase 3 pipeline | NCT | Drug | Indication | Enrollment | Sites | |-----|------|------------|-----------:|------:| | NCT05508789 | **Donanemab** (LY3002813) | Alzheimer's disease | 1,500 | 141 | | NCT06292013 | **Lepodisiran Sodium** | Atherosclerotic cardiovascular disease | **17,300** | **932** | | NCT07369011 | **Eloralintide** (LY3841136) | Sleep apnea + obesity | 800 | 122 | | NCT06890598 | **Olomorasib** (LY3537982) | Non-small cell lung cancer | 700 | 354 | | NCT07222137 | **Baricitinib** (LY3009104) | Type 1 diabetes delay | 150 | 107 | #### Active CAR-T lymphoma trials (global) | NCT | Sponsor | Drug | Indication | Sites | |-----|---------|------|------------|------:| | NCT05641428 | University Medical Center Groningen | ARI-0001 vs Axi-cel | DLBCL / NHL | 7 | | NCT07523555 | Beijing Biotech | CD19/CD22, CD19/CD20, BCMA/CD19 dual-CAR-T | B-cell malignancies | 1 | | NCT07022964 | Beijing GoBroad Hospital | CD5 CAR-T | T-cell lymphomas | 3 | Each row includes: - **NCT ID**, brief title, official title, acronym - **Status** (RECRUITING, ACTIVE_NOT_RECRUITING, COMPLETED, TERMINATED, etc.) - **Phase** (EARLY_PHASE1, PHASE1, PHASE2, PHASE3, PHASE4, NA) - **Study type, primary purpose, allocation, masking** - **Lead sponsor** + class (INDUSTRY, NIH, OTHER) + collaborators - **Enrollment count** (actual/estimated) - **Conditions** array, **keywords** array - **Interventions** array with type/name/description - **Dates**: study start, primary completion, completion (all with type = actual/estimated/anticipated) - **Eligibility criteria**: age range, sex, healthy volunteers - **Principal investigators** (names + affiliations) — optional - **Study locations** (facility, city, state, country, status) — optional - **Countries** list (for quick geographic view) - **Direct link** to ClinicalTrials.gov ### Why this matters Clinical trials are where **$800 billion of global pharma R&D spending** flows every year. Knowing who is testing what, in what phase, with what outcomes — that's the foundation of the entire pharmaceutical industry's competitive landscape. #### Who pays for clinical trial data - **Biotech analysts and investors** — predict which drugs will win FDA approval based on trial progression - **Big Pharma competitive intel** — track rival Phase 2/3 trials that could disrupt your franchise - **Patient recruitment firms** — match patients to eligible trials (companies like Tempus, Flatiron Health, TrialBee make $$) - **Clinical site selection firms** — find active investigators and hospitals to recruit as trial sites - **M&A due diligence** — assess a target biotech's pipeline value - **KOL (key opinion leader) identification** — find principal investigators leading important trials - **Protocol design research** — benchmark similar trial endpoints, sample sizes, durations - **FDA regulatory affairs** — track competitors' FDA interactions #### Commercial alternatives and pricing - **Citeline Trialtrove**: $25,000-100,000+/year (the industry gold standard) - **GlobalData Clinical Trials**: $30,000+/year - **BioPharma Catalyst**: $1,500-5,000/year - **Evaluate Pharma**: $50,000+/year - **IQVIA Clinical Trials Intelligence**: enterprise pricing - **TrialSetup by Veeva**: enterprise pricing - **Clinpipe**: $500-2,000/month This actor delivers the same raw clinical trial data (sourced from the SAME public API) with per-event pricing. ### Therapeutic area examples Common queries this actor handles: **Obesity / GLP-1 weight loss drugs** (Ozempic-competitor landscape): ```json { "intervention": "GLP-1", "condition": "obesity", "phases": ["PHASE3"], "statuses": ["RECRUITING", "ACTIVE_NOT_RECRUITING"] } ```` **Alzheimer's disease** (post-Aduhelm/Leqembi/Donanemab era): ```json { "condition": "Alzheimer", "phases": ["PHASE2", "PHASE3"] } ``` **KRAS inhibitors** (post-sotorasib cancer boom): ```json { "intervention": "KRAS", "phases": ["PHASE1", "PHASE2", "PHASE3"], "statuses": ["RECRUITING"] } ``` **CAR-T cell therapy**: ```json { "intervention": "CAR-T", "phases": ["PHASE2", "PHASE3"] } ``` **Moderna mRNA pipeline**: ```json { "sponsors": ["Moderna"], "phases": ["PHASE2", "PHASE3"] } ``` **CRISPR gene editing**: ```json { "intervention": "CRISPR", "phases": ["PHASE1", "PHASE2"] } ``` ### How to use 1. Click **Try for free** (or **Start**) 2. Enter **condition** (disease name) and/or **intervention** (drug name) — at least one recommended 3. Optionally add **sponsors** to focus on specific companies 4. Optionally filter by **phases** (PHASE1, PHASE2, PHASE3, PHASE4) or **statuses** 5. Set **maxResults** (default 50, up to 10,000) 6. Toggle **includeInvestigators** / **includeLocations** based on your use case 7. Click **Start** ### Output ```json { "nctId": "NCT05508789", "briefTitle": "A Study of Donanemab in Participants With Alzheimer's Disease Detected by Plasma Biomarkers", "officialTitle": "A Randomized, Double-Blind, Placebo-Controlled Study of Donanemab in Participants With Preclinical Alzheimer's Disease", "acronym": "TRAILBLAZER-ALZ 3", "status": "ACTIVE_NOT_RECRUITING", "studyType": "INTERVENTIONAL", "phases": ["PHASE3"], "primaryPurpose": "TREATMENT", "interventionModel": "PARALLEL", "allocation": "RANDOMIZED", "maskingType": "QUADRUPLE", "leadSponsor": "Eli Lilly and Company", "sponsorClass": "INDUSTRY", "collaborators": [], "enrollmentCount": 1500, "enrollmentType": "ACTUAL", "conditions": ["Alzheimer Disease", "Dementia"], "keywords": ["Preclinical", "Plasma Biomarkers", "Amyloid"], "interventions": [ { "type": "DRUG", "name": "Donanemab", "description": "..." }, { "type": "DRUG", "name": "Placebo", "description": "..." } ], "interventionNames": ["Donanemab", "Placebo"], "startDate": "2021-07-13", "primaryCompletionDate": "2027-01-17", "completionDate": "2027-01-17", "eligibilityCriteria": "...", "minimumAge": "55 Years", "maximumAge": "80 Years", "sex": "ALL", "healthyVolunteers": false, "investigators": [ { "name": "John Doe, MD", "role": "STUDY_DIRECTOR", "affiliation": "Eli Lilly" } ], "locationCount": 141, "countries": ["United States", "Canada", "United Kingdom"], "ctGovUrl": "https://clinicaltrials.gov/study/NCT05508789", "extractedAt": "2026-04-16T01:00:00.000Z" } ``` ### Pricing - **Actor start**: $0.05 per run - **Per trial extracted**: $0.01 per trial **Example costs:** - Pull Pfizer's Phase 3 pipeline (~50 trials) → $0.55 - Full cancer Phase 3 pipeline across all sponsors (~800 trials) → $8.05 - Weekly monitoring of 10 biotech companies' trials → ~$5/month - Monthly comprehensive pull of all 500k+ trials → $5,000 (still cheaper than one Citeline seat) For comparison: Citeline Trialtrove is $25-100k/year. BioPharma Catalyst is $1,500-5,000/year. ### Honest limitations - **Not real-time.** ClinicalTrials.gov is updated by sponsors, typically daily but sometimes with delays of weeks or months for status changes. - **No trial RESULTS extraction yet.** This actor returns trial PROTOCOL data (design, enrollment, dates). Results (efficacy data, safety data, primary outcomes) are in a separate module that we don't currently parse. For most use cases (recruitment, pipeline intel, M\&A) the protocol data is what you want. - **Sponsor filter is fuzzy.** Searching `"Pfizer"` may match `"Pfizer Inc"`, `"Pfizer R&D"`, `"Pfizer, Inc."` — all three are technically separate entities in CT.gov. For precise filtering, use full legal names. - **Many trials have no investigators listed** (especially industry-sponsored trials that don't disclose PIs publicly). - **Location count vs locations array**: for trials with 100+ sites (some cardiovascular outcomes trials have 1,000+), enabling `includeLocations: true` produces very large rows. Default is off. - **API rate limit unspecified**. ClinicalTrials.gov doesn't publish hard rate limits but we self-throttle to be safe. ### Tips - **Track a competitor's pipeline** by using `sponsors: ["Moderna"]` + weekly scheduled runs → diff over time to catch new Phase 1 starts and Phase 3 completions - **Find trial recruitment opportunities** for your disease by using `condition` + `statuses: ["RECRUITING"]` - **Identify KOLs** by using `condition` + `includeInvestigators: true` → the PIs of the biggest Phase 3 trials are the field's opinion leaders - **Monitor impending Phase 3 readouts** by filtering `phases: ["PHASE3"]` + `statuses: ["ACTIVE_NOT_RECRUITING"]` + sort by primary completion date → trials wrapping up soon = near-term catalysts - **Combine with the NIH Grants Tracker**: NIH funds academic research → academic trials go to ClinicalTrials.gov → triangulate which disease areas are heating up - **Combine with the SEC 13F Holdings Tracker**: identify which biotech companies hedge funds just added → check their ClinicalTrials.gov pipelines - **Combine with the SEC Form 4 Insider Trades Tracker**: when insiders at a biotech buy before Phase 3 readout = strong signal ### Source Uses the official **ClinicalTrials.gov API v2** at `https://clinicaltrials.gov/api/v2/studies`. The API is: - **Free** (no key, no auth) - **Comprehensive** (~500,000+ registered trials worldwide) - **Authoritative** (operated by NIH/NLM under FDA regulations) - **Complete** (every FDA-regulated trial must register here) Documentation: https://clinicaltrials.gov/data-api/api ### License MIT licensed. ClinicalTrials.gov data is in the public domain (US government data). You may use the extracted trial data for any purpose including commercial biotech research and pharma competitive intelligence. # Actor input Schema ## `condition` (type: `string`): Disease or condition (e.g. 'pancreatic cancer', 'alzheimer', 'type 2 diabetes', 'GLP-1'). Empty = no filter. ## `intervention` (type: `string`): Drug, device, or therapy name (e.g. 'semaglutide', 'pembrolizumab', 'CRISPR', 'CAR-T'). Empty = no filter. ## `sponsors` (type: `array`): Sponsor / company names (e.g. \['Pfizer', 'Moderna', 'Eli Lilly']). ## `phases` (type: `array`): Filter by phases: EARLY\_PHASE1, PHASE1, PHASE2, PHASE3, PHASE4, NA. Empty = all phases. ## `statuses` (type: `array`): Filter by status: NOT\_YET\_RECRUITING, RECRUITING, ACTIVE\_NOT\_RECRUITING, COMPLETED, TERMINATED, SUSPENDED, WITHDRAWN, ENROLLING\_BY\_INVITATION. Empty = all. ## `locationCountries` (type: `array`): Filter by country of study locations (e.g. \['United States']). ## `maxResults` (type: `integer`): Cap on trials returned. ## `includeInvestigators` (type: `boolean`): Include lead investigators and contacts for each trial (useful for site selection / recruitment). ## `includeLocations` (type: `boolean`): Include all study sites (some trials have 100+ locations — adds significant dataset size). ## `proxyConfiguration` (type: `object`): Optional Apify Proxy. ClinicalTrials.gov is friendly to direct access — proxy rarely needed. ## Actor input object example ```json { "condition": "", "intervention": "", "sponsors": [], "phases": [ "PHASE3" ], "statuses": [ "RECRUITING", "ACTIVE_NOT_RECRUITING" ], "locationCountries": [], "maxResults": 50, "includeInvestigators": true, "includeLocations": false, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `dataset` (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 = { "phases": [ "PHASE3" ], "statuses": [ "RECRUITING", "ACTIVE_NOT_RECRUITING" ] }; // Run the Actor and wait for it to finish const run = await client.actor("wiry_kingdom/clinicaltrials-pipeline-monitor").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 = { "phases": ["PHASE3"], "statuses": [ "RECRUITING", "ACTIVE_NOT_RECRUITING", ], } # Run the Actor and wait for it to finish run = client.actor("wiry_kingdom/clinicaltrials-pipeline-monitor").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 '{ "phases": [ "PHASE3" ], "statuses": [ "RECRUITING", "ACTIVE_NOT_RECRUITING" ] }' | apify call wiry_kingdom/clinicaltrials-pipeline-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=wiry_kingdom/clinicaltrials-pipeline-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ClinicalTrials.gov Pharma Pipeline Monitor", "description": "Track FDA-regulated clinical trials from ClinicalTrials.gov. Filter by condition, drug, sponsor, phase, status, country. Returns enrollment, dates, sites, investigators. Free NIH/NLM API. For pharma analysts, biotech investors, patient recruiters.", "version": "0.1", "x-build-id": "6hKPmgHiUEya8bXTG" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/wiry_kingdom~clinicaltrials-pipeline-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-wiry_kingdom-clinicaltrials-pipeline-monitor", "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/wiry_kingdom~clinicaltrials-pipeline-monitor/runs": { "post": { "operationId": "runs-sync-wiry_kingdom-clinicaltrials-pipeline-monitor", "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/wiry_kingdom~clinicaltrials-pipeline-monitor/run-sync": { "post": { "operationId": "run-sync-wiry_kingdom-clinicaltrials-pipeline-monitor", "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": { "condition": { "title": "Medical condition / disease", "type": "string", "description": "Disease or condition (e.g. 'pancreatic cancer', 'alzheimer', 'type 2 diabetes', 'GLP-1'). Empty = no filter.", "default": "" }, "intervention": { "title": "Intervention / drug", "type": "string", "description": "Drug, device, or therapy name (e.g. 'semaglutide', 'pembrolizumab', 'CRISPR', 'CAR-T'). Empty = no filter.", "default": "" }, "sponsors": { "title": "Sponsor organizations", "type": "array", "description": "Sponsor / company names (e.g. ['Pfizer', 'Moderna', 'Eli Lilly']).", "default": [], "items": { "type": "string" } }, "phases": { "title": "Trial phases", "type": "array", "description": "Filter by phases: EARLY_PHASE1, PHASE1, PHASE2, PHASE3, PHASE4, NA. Empty = all phases.", "default": [], "items": { "type": "string" } }, "statuses": { "title": "Overall statuses", "type": "array", "description": "Filter by status: NOT_YET_RECRUITING, RECRUITING, ACTIVE_NOT_RECRUITING, COMPLETED, TERMINATED, SUSPENDED, WITHDRAWN, ENROLLING_BY_INVITATION. Empty = all.", "default": [], "items": { "type": "string" } }, "locationCountries": { "title": "Locations (country)", "type": "array", "description": "Filter by country of study locations (e.g. ['United States']).", "default": [], "items": { "type": "string" } }, "maxResults": { "title": "Max trials", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Cap on trials returned.", "default": 50 }, "includeInvestigators": { "title": "Include principal investigators", "type": "boolean", "description": "Include lead investigators and contacts for each trial (useful for site selection / recruitment).", "default": true }, "includeLocations": { "title": "Include study locations", "type": "boolean", "description": "Include all study sites (some trials have 100+ locations — adds significant dataset size).", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify Proxy. ClinicalTrials.gov is friendly to direct access — proxy rarely needed.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```