# Address Normalizer (`parseforge/address-normalizer`) Actor Fix and normalize addresses in bulk using AI. Upload a CSV or provide a list of addresses, and the Actor returns fully standardized results with proper capitalization, filled missing fields, corrected formats, and consistent structure for clean, reliable address data. - **URL**: https://apify.com/parseforge/address-normalizer.md - **Developed by:** [ParseForge](https://apify.com/parseforge) (community) - **Categories:** AI, Automation, Developer tools - **Stats:** 20 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ![ParseForge Banner](https://github.com/ParseForge/apify-assets/blob/ad35ccc13ddd068b9d6cba33f323962e39aed5b2/banner.jpg?raw=true) ## ๐Ÿ“ Address Normalizer > ๐Ÿš€ **Standardize and clean address data in seconds.** Upload a list of messy addresses or a CSV file and get consistently formatted, normalized addresses. Optional AI-powered parsing. No coding, no geocoding API required. > ๐Ÿ•’ **Last updated:** 2026-04-23 ยท **๐Ÿ“ AI address parsing** ยท **๐Ÿ“‹ CSV input** ยท **๐Ÿ“ฆ Batch processing** ยท **๐Ÿšซ No coding** needed
Pull structured records from Address Normalizer โ€” clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.
##### Copy to your AI assistant Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor. ```` parseforge/address-normalizer on Apify. Call: ApifyClient("TOKEN").actor("parseforge/address-normalizer").call(run\_input={...}), then client.dataset(run\["defaultDatasetId"]).list\_items().items for results. Key inputs: addresses (array, default \["123 main st new york ny 10001", "456 oak avenue los angele), csvFile (string), customPrompt (string). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~address-normalizer (Bearer TOKEN). Get token: https://console.apify.com/account/integrations ```` The **Address Normalizer** cleans and standardizes messy address data using AI. Upload a list of addresses or a CSV file and get back consistently formatted results with parsed components (street, city, state, ZIP, country). Custom prompts guide the parsing for non-standard formats. Built for data ops teams, CRM admins, logistics companies, and anyone who needs to clean address data without manual formatting. | ๐ŸŽฏ Target Audience | ๐Ÿ’ก Primary Use Cases | |---|---| | Data ops teams, CRM admins, logistics companies, marketers, sales teams, GIS analysts | Address cleaning, CRM data hygiene, mailing list preparation, geocoding preprocessing, data standardization | --- ### ๐Ÿ“‹ What the Address Normalizer does - ๐Ÿ“ **Address list input.** Paste messy addresses directly. - ๐Ÿ“„ **CSV file input.** Upload a CSV file URL with an address column. - ๐Ÿค– **AI parsing.** Splits addresses into components (street, city, state, ZIP, country). - ๐Ÿ“ **Custom prompts.** Handle non-standard formats with specific instructions. > ๐Ÿ’ก **Why it matters:** inconsistent address formatting breaks geocoding, mailing, and CRM deduplication. This Actor standardizes addresses in bulk in seconds. --- ### ๐ŸŽฌ Full Demo _๐Ÿšง Coming soon._ --- ### โš™๏ธ Input
InputTypeDefaultBehavior
addressesarray[]List of raw addresses to normalize.
csvFilestring""URL to a CSV file with addresses.
customPromptstring""Instructions for non-standard formats.
**Example: normalize 3 addresses.** ```json { "addresses": [ "123 main st apt 4b new york ny 10001", "456 Oak Avenue, Suite 200, Los Angeles California 90001", "789 elm, chicago IL" ] } ```` *** ### ๐Ÿ“Š Output #### ๐Ÿงพ Schema | Field | Type | Example | |---|---|---| | ๐Ÿ“ originalAddress | string | `"123 main st apt 4b new york ny 10001"` | | ๐Ÿ“ normalizedAddress | string | `"123 Main St, Apt 4B, New York, NY 10001"` | | ๐Ÿ  street | string | `"123 Main St"` | | ๐Ÿข unit | string | null | `"Apt 4B"` | | ๐Ÿ™๏ธ city | string | `"New York"` | | ๐Ÿณ๏ธ state | string | `"NY"` | | ๐Ÿ“ฎ zip | string | `"10001"` | | ๐ŸŒ country | string | `"US"` | | ๐Ÿ•’ processedAt | ISO 8601 | `"2026-04-16T00:00:00.000Z"` | #### ๐Ÿ“ฆ Sample records
๐Ÿ“ Full address with apartment ```json { "originalAddress": "123 main st apt 4b new york ny 10001", "normalizedAddress": "123 Main St, Apt 4B, New York, NY 10001", "street": "123 Main St", "unit": "Apt 4B", "city": "New York", "state": "NY", "zip": "10001", "country": "US", "processedAt": "2026-04-16T00:00:00.000Z" } ```
๐Ÿข Business address with suite ```json { "originalAddress": "456 Oak Avenue, Suite 200, Los Angeles California 90001", "normalizedAddress": "456 Oak Ave, Ste 200, Los Angeles, CA 90001", "street": "456 Oak Ave", "unit": "Ste 200", "city": "Los Angeles", "state": "CA", "zip": "90001", "country": "US", "processedAt": "2026-04-16T00:00:05.000Z" } ```
๐Ÿ“ฎ Partial address ```json { "originalAddress": "789 elm, chicago IL", "normalizedAddress": "789 Elm, Chicago, IL", "street": "789 Elm", "unit": null, "city": "Chicago", "state": "IL", "zip": null, "country": "US", "processedAt": "2026-04-16T00:00:10.000Z" } ```
*** ### โœจ Why choose this Actor | | Capability | |---|---| | ๐Ÿ“ | **AI-powered parsing.** Splits messy addresses into components. | | ๐Ÿ“„ | **CSV support.** Upload CSV files for batch processing. | | ๐Ÿ“ฆ | **Batch processing.** Hundreds of addresses per run. | | ๐Ÿ“ | **Custom prompts.** Handle non-standard formats. | | โšก | **Fast.** Seconds per batch. | | ๐Ÿšซ | **No geocoding API.** Formatting only, no external API needed. | *** ### ๐Ÿ“ˆ How it compares to alternatives | Approach | Cost | AI parsing | Batch | CSV support | Setup | |---|---|---|---|---|---| | **โญ Address Normalizer** *(this Actor)* | $5 free credit, then pay-per-use | Yes | Yes | Yes | โšก 2 min | | Manual formatting | Free | No | No | N/A | ๐Ÿ•’ Hours | | Geocoding APIs | $5-50/1K addresses | Components | Yes | No | โณ API setup | | CRM built-in | Included | Limited | Yes | Yes | Already there | *** ### ๐Ÿš€ How to use 1. ๐Ÿ“ **Sign up.** [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=vmoqkp) (takes 2 minutes). 2. ๐ŸŒ **Open the Actor.** Go to the Address Normalizer page. 3. ๐ŸŽฏ **Set input.** Paste addresses or upload a CSV URL. 4. ๐Ÿš€ **Run it.** Click **Start**. 5. ๐Ÿ“ฅ **Download.** Grab normalized addresses from the **Dataset** tab. > โฑ๏ธ Total time: **2-3 minutes.** No coding required. *** ### ๐Ÿ’ผ Business use cases
#### ๐Ÿ“Š Data Operations - Clean CRM address fields - Standardize mailing lists - Preprocess for geocoding - Merge address data from multiple sources #### ๐Ÿšš Logistics & Sales - Normalize delivery addresses - Standardize customer records - Clean lead list addresses - Prepare shipping label data
*** *** ### ๐ŸŒŸ Beyond business use cases Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.
#### ๐ŸŽ“ Research and academia - Empirical datasets for papers, thesis work, and coursework - Longitudinal studies tracking changes across snapshots - Reproducible research with cited, versioned data pulls - Classroom exercises on data analysis and ethical scraping #### ๐ŸŽจ Personal and creative - Side projects, portfolio demos, and indie app launches - Data visualizations, dashboards, and infographics - Content research for bloggers, YouTubers, and podcasters - Hobbyist collections and personal trackers
#### ๐Ÿค Non-profit and civic - Transparency reporting and accountability projects - Advocacy campaigns backed by public-interest data - Community-run databases for local issues - Investigative journalism on public records #### ๐Ÿงช Experimentation - Prototype AI and machine-learning pipelines with real data - Validate product-market hypotheses before engineering spend - Train small domain-specific models on niche corpora - Test dashboard concepts with live input
### ๐Ÿค– Ask an AI assistant about this scraper Open a ready-to-send prompt about this ParseForge actor in the AI of your choice: - ๐Ÿ’ฌ [**ChatGPT**](https://chat.openai.com/?q=How%20do%20I%20use%20the%20Address%20Normalizer%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿง  [**Claude**](https://claude.ai/new?q=How%20do%20I%20use%20the%20Address%20Normalizer%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿ” [**Perplexity**](https://perplexity.ai/search?q=How%20do%20I%20use%20the%20Address%20Normalizer%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) - ๐Ÿ…’ [**Copilot**](https://copilot.microsoft.com/?q=How%20do%20I%20use%20the%20Address%20Normalizer%20by%20ParseForge%20on%20Apify%3F%20Show%20me%20input%20examples%2C%20output%20fields%2C%20common%20use%20cases%2C%20and%20how%20to%20integrate%20it%20into%20a%20workflow.) ### โ“ Frequently Asked Questions
๐Ÿ’ณ Do I need a paid Apify plan to run this actor? No. You can start right now on the free Apify plan, which includes **$5 in free monthly credit**. That is enough to run this actor several times and explore the output before committing to anything. Paid plans unlock higher limits, more concurrent runs, and larger datasets. [Create a free Apify account here](https://console.apify.com/sign-up?fpr=vmoqkp) to get started.
๐Ÿšจ What happens if my run fails or returns no results? Failed runs are not charged. If the source site changes, proxies get rate-limited, or a specific input matches nothing, re-run the actor or open our [contact form](https://tally.so/r/BzdKgA) and we will investigate. You can also check the run log in the Apify console to see why the run stopped.
๐Ÿ“ How many items can I scrape per run? Free users are limited to **10 items per run** so you can preview the output and confirm the actor works for your use case. Paid users can raise maxItems up to **1,000,000** per run. [Upgrade here](https://console.apify.com/sign-up?fpr=vmoqkp) if you need full scale.
๐Ÿ•’ How fresh is the data? Every run fetches live data at the moment of execution. There is no cache or delay: the records you get reflect what the source returned at that moment. Schedule the actor to maintain a rolling snapshot of the data you need.
๐Ÿง‘โ€๐Ÿ’ป Can I call this actor from my own code? Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for [Node.js](https://docs.apify.com/sdk/js) and [Python](https://docs.apify.com/sdk/python). You can start a run, read the dataset, and handle webhooks from your own app in a few lines. All you need is your Apify API token.
๐Ÿ“ค How do I export the data? Every Apify dataset can be downloaded in one click from the console as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the [Apify API](https://docs.apify.com/api/v2) or stream them into BigQuery, S3, and other destinations through built-in integrations.
๐Ÿ“… Can I schedule the actor to run automatically? Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make. ***
### ๐Ÿ”Œ Automating Address Normalizer - ๐ŸŸข **Node.js.** Install the apify-client NPM package. - ๐Ÿ **Python.** Use the apify-client PyPI package. - ๐Ÿ“š See the [Apify API documentation](https://docs.apify.com/api/v2) for full details. ### ๐Ÿ”Œ Integrate with any app - [**Make**](https://docs.apify.com/platform/integrations/make) - Automate workflows - [**Zapier**](https://docs.apify.com/platform/integrations/zapier) - Connect 5,000+ apps - [**Slack**](https://docs.apify.com/platform/integrations/slack) - Get notifications - [**Airbyte**](https://docs.apify.com/platform/integrations/airbyte) - Data pipelines - [**GitHub**](https://docs.apify.com/platform/integrations/github) - Trigger from commits - [**Google Drive**](https://docs.apify.com/platform/integrations/drive) - Export to Sheets *** ### ๐Ÿ”— Recommended Actors - [**๐Ÿ—บ๏ธ Nominatim OSM Scraper**](https://apify.com/parseforge/nominatim-osm-scraper) - Geocoding - [**๐Ÿ“‹ Lead Formatter**](https://apify.com/parseforge/lead-formatter) - Lead list cleaning - [**๐Ÿ”— Broken Link Checker**](https://apify.com/parseforge/broken-link-checker) - URL validation - [**๐Ÿ“ HTML to JSON Smart Parser**](https://apify.com/parseforge/html-to-json-smart-parser) - Data extraction - [**๐ŸŒ Domain Checker**](https://apify.com/parseforge/domain-checker) - Domain availability > ๐Ÿ’ก **Pro Tip:** browse the complete [ParseForge collection](https://apify.com/parseforge) for more data processing tools. *** **๐Ÿ†˜ Need Help?** [**Open our contact form**](https://tally.so/r/BzdKgA) to request a new tool, propose a custom project, or report an issue. *** > **โš ๏ธ Disclaimer:** this Actor is an independent data processing tool. Normalized addresses are AI-generated and should be verified for critical applications. All trademarks mentioned are the property of their respective owners. # Actor input Schema ## `addresses` (type: `array`): List of addresses to normalize. Each address can be a string or an object with address fields. You can also provide a CSV file URL instead. ## `csvFile` (type: `string`): Upload a CSV file containing addresses, or provide a URL to a CSV file. The CSV should have an 'address' column or columns for address components (street, city, state, zip, country). If provided, addresses array will be ignored. ## `customPrompt` (type: `string`): Optional custom instructions for address normalization. If not provided, default normalization rules will be used. ## Actor input object example ```json { "addresses": [ "123 main st new york ny 10001", "456 oak avenue los angeles ca", "789 pine road chicago il 60601" ] } ``` # Actor output Schema ## `overview` (type: `string`): Overview view of normalized addresses with key fields displayed in a table format ## `addresses` (type: `string`): Complete dataset with all normalized addresses including original address, normalized address, and all address components # 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 = { "addresses": [ "123 main st new york ny 10001", "456 oak avenue los angeles ca", "789 pine road chicago il 60601" ] }; // Run the Actor and wait for it to finish const run = await client.actor("parseforge/address-normalizer").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 = { "addresses": [ "123 main st new york ny 10001", "456 oak avenue los angeles ca", "789 pine road chicago il 60601", ] } # Run the Actor and wait for it to finish run = client.actor("parseforge/address-normalizer").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 '{ "addresses": [ "123 main st new york ny 10001", "456 oak avenue los angeles ca", "789 pine road chicago il 60601" ] }' | apify call parseforge/address-normalizer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=parseforge/address-normalizer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Address Normalizer", "description": "Fix and normalize addresses in bulk using AI. Upload a CSV or provide a list of addresses, and the Actor returns fully standardized results with proper capitalization, filled missing fields, corrected formats, and consistent structure for clean, reliable address data.", "version": "1.0", "x-build-id": "Vbrsu4Vp0ygrvF1kr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/parseforge~address-normalizer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-parseforge-address-normalizer", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/parseforge~address-normalizer/runs": { "post": { "operationId": "runs-sync-parseforge-address-normalizer", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/parseforge~address-normalizer/run-sync": { "post": { "operationId": "run-sync-parseforge-address-normalizer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "addresses": { "title": "Addresses", "type": "array", "description": "List of addresses to normalize. Each address can be a string or an object with address fields. You can also provide a CSV file URL instead.", "items": { "type": "string" } }, "csvFile": { "title": "CSV File (Optional)", "type": "string", "description": "Upload a CSV file containing addresses, or provide a URL to a CSV file. The CSV should have an 'address' column or columns for address components (street, city, state, zip, country). If provided, addresses array will be ignored." }, "customPrompt": { "title": "Custom Prompt (Optional)", "type": "string", "description": "Optional custom instructions for address normalization. If not provided, default normalization rules will be used." } } }, "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 } } } } } } } } } } ```