# 📈 Stock Buyback Announcement Tracker (`nexgendata/stock-buyback-announcement-tracker`) Actor Track recent share-repurchase (buyback) announcements from SEC EDGAR filings, with authorized dollar amounts extracted. For equity investors, event-driven funds, and IR teams. - **URL**: https://apify.com/nexgendata/stock-buyback-announcement-tracker.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business - **Stats:** 7 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $20.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 📈 Stock Buyback Announcement Tracker — SEC Repurchase API **Track every share-repurchase (buyback) announcement the moment it hits SEC EDGAR — with the authorized dollar amount extracted from the filing text. Pay-per-result JSON, $0.10 per announcement. No Bloomberg seat, no FactSet contract, no event-feed subscription.** Buybacks are one of the cleanest event-driven signals on the tape: a board that authorizes a $2B repurchase is telling the market it thinks its own stock is cheap, and the announcement itself moves the price. This actor reads the official SEC EDGAR full-text search index for new buyback language across 8-K, 10-Q and any other form type you point it at, then optionally opens each filing and pulls out the authorized dollar amounts ("up to $500 million", "an additional $1.0 billion", "10 million shares") so the dollar magnitude — the actual signal — lands in your dataset instead of buried in a PDF. Every record carries company name, ticker, filing date, form type, the extracted amounts array, and a direct EDGAR document URL so you can verify against the primary source in one click. ### Why use this Buyback intelligence is gated behind expensive terminals and event-feed vendors. Bloomberg's event-driven analytics, FactSet's corporate-actions feed, and dedicated buyback-tracking newsletters all charge four- to five-figure annual sums and lock the data behind a per-seat login you cannot pipe into your own model. The raw filings, meanwhile, are public, free, and published on EDGAR the same minute the company files — but finding the repurchase language across thousands of daily 8-Ks and 10-Qs, then parsing the authorized amount out of legalese, is exactly the tedious work that kills a do-it-yourself approach. This actor closes that gap. It queries EDGAR full-text search the way an analyst would, runs each of your buyback search phrases as an exact-phrase query, de-duplicates across forms, and hands you a clean structured feed. The `extractAmounts` option turns each hit into a quantified event by fetching the filing and regex-extracting the dollar figures, so you can rank announcements by size, filter out trivial top-ups, and route the big authorizations straight to your trading or IR workflow. ### What you get Every record returned by this actor is structured JSON with the fields below, populated wherever the underlying EDGAR filing provides them: - `companyName` — the filer's name as registered with the SEC - `ticker` — exchange ticker symbol when EDGAR maps the filer to one (null for filers without a mapped symbol) - `filedDate` — the date the filing was accepted by EDGAR (YYYY-MM-DD) - `formType` — the SEC form the announcement appeared in (8-K, 10-Q, etc.) - `announcedAmounts` — array of authorized buyback dollar amounts extracted from the filing body (only populated when `extractAmounts` is enabled) - `documentUrl` — direct link to the primary filing document on sec.gov for one-click verification The schema is stable across runs, so you can load straight into Snowflake, BigQuery, Postgres, or your CRM without re-mapping each refresh. ### Use cases - **Event-driven equity trading** — Run the actor every morning with `extractAmounts` on, sort the day's announcements by the largest figure in `announcedAmounts`, and route any authorization above your size threshold (say $500M) to your event-trader. Large buybacks relative to market cap have a documented post-announcement drift you can model against. - **Buyback-yield screening** — Append each run to a warehouse table keyed on `companyName` + `filedDate`, then join `announcedAmounts` against market cap to compute an authorized-buyback-yield factor for a systematic value/quality sleeve. - **Investor-relations competitive intelligence** — IR teams track when peer companies announce repurchases and at what magnitude, to time and size their own program and to brief the board with current comparables. - **Activist and special-situations research** — A fresh buyback authorization is often a defensive response to activist pressure or a signal of excess cash; pair it with insider and 13D feeds to build a fuller picture of capital-allocation intent. - **Credit and covenant monitoring** — Lenders and credit analysts watch for large repurchase authorizations that draw down cash and can pressure leverage ratios or trip covenants. - **Quant signal backtesting** — Pull a multi-year history by setting `startDate`/`endDate`, then backtest the announcement-drift and buyback-yield signals on a clean, de-duplicated event set. - **News and newsletter automation** — Feed the daily feed into an LLM summarizer to auto-draft a "today's buyback announcements" digest with company, ticker, and authorized amount. ### Sample output ```json { "companyName": "APPLE INC", "ticker": "AAPL", "filedDate": "2026-05-01", "formType": "8-K", "announcedAmounts": ["$110.0 billion", "$25.0 billion"], "documentUrl": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000045/aapl-20260501.htm" } ```` ### Input parameters | Parameter | Label | Description | | --- | --- | --- | | `searchPhrases` | Search phrases | Buyback-related phrases to search in SEC filings; each is run as a separate exact-phrase query (e.g. "share repurchase program", "authorized to repurchase"). | | `forms` | Filing form types | Comma-separated SEC form types to search (e.g. `8-K` or `8-K,10-Q`). | | `daysBack` | Days back | Look back this many days from today (ignored if `startDate`/`endDate` are set). | | `startDate` | Start date (YYYY-MM-DD) | Override the start of the date range. | | `endDate` | End date (YYYY-MM-DD) | Override the end of the date range. | | `extractAmounts` | Extract authorized amounts | Fetch each filing and extract the announced buyback dollar amounts — slower, but adds the key signal. | | `maxResults` | Max results | Maximum number of announcement filings to return. | | `userAgentContact` | SEC User-Agent contact | SEC requires a User-Agent with contact info. Optional override (e.g. `YourCompany you@email.com`). | ### How to use #### Python (apify-client) ```python from apify_client import ApifyClient client = ApifyClient("YOUR_TOKEN") run = client.actor("nexgendata/stock-buyback-announcement-tracker").call(run_input={ "searchPhrases": ["share repurchase program", "authorized to repurchase"], "forms": "8-K,10-Q", "daysBack": 7, "extractAmounts": True, "maxResults": 200, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["companyName"], item["ticker"], item["formType"], item["announcedAmounts"]) ``` #### cURL ```bash curl -X POST "https://api.apify.com/v2/acts/nexgendata~stock-buyback-announcement-tracker/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "searchPhrases": ["share repurchase program", "authorized to repurchase"], "forms": "8-K,10-Q", "daysBack": 7, "extractAmounts": true, "maxResults": 200 }' ``` Schedule it daily via Apify's built-in scheduler and dedupe on `companyName` + `filedDate` + `formType` into your warehouse to maintain a rolling buyback-event table. Webhooks let you fire a Slack or n8n alert the moment a new large authorization lands. ### Pricing This actor runs on Apify's **pay-per-event (PPE)** model — you pay only for results, not run-time: - **$0.10 per announcement record** pushed to your dataset - A negligible per-actor-start charge No subscriptions, no seat licences, no per-CPU-second billing. If EDGAR returns no new buyback filings in your window, you pay essentially nothing. #### Worked cost example A daily scheduled run over the trailing 7 days, with `extractAmounts` on, that surfaces 40 buyback announcements: - 40 records × $0.10 = **$4.00** - plus one negligible actor-start charge So roughly **$4 per 40-announcement daily run**, all-in — versus four- and five-figure annual contracts for an equivalent event feed inside Bloomberg or FactSet. A full multi-year backfill of, say, 5,000 historical announcements is a one-time ~$500 — still a rounding error against a single terminal seat. #### Why pay-per-event beats time-based pricing - **Predictable** — you know your cost from the record count, not from how long a scrape happened to run. - **Failure-safe** — if EDGAR changes its HTML and a run returns 0 rows, you pay 0. - **Easy to attribute** — 1 announcement = 1 unit of cost, so per-strategy or per-desk cost accounting is trivial. ### How this compares to Bloomberg Terminal | Capability | Bloomberg Terminal | Stock Buyback Announcement Tracker (this actor) | | --- | --- | --- | | Buyback / corporate-actions coverage | Global, deeply curated | US SEC EDGAR filers (8-K, 10-Q, any form you query) | | Authorized-amount extraction | Yes, analyst-curated | Yes, regex-extracted from filing text via `extractAmounts` | | Annual cost | ~$24,000 / seat / year | Pay-per-record, no subscription | | Programmatic access | BLPAPI, seat-locked | Apify REST API + webhooks, no seat lock | | Pipe into your own model / warehouse | Restricted by terms | Native JSON / JSONL / CSV export | If you need a fully curated global corporate-actions database with analyst overrides and decades of normalized history, a terminal still wins. But if your workflow is a daily event scan of US buyback announcements feeding a trading model, a research screen, or an IR brief, paying per announcement record is the right cost model and a 95%+ saving versus a terminal seat. ### FAQ **Q: How current is the data?** A: As current as EDGAR. The SEC accepts and publishes filings throughout the trading day; each run queries EDGAR full-text search live, so a run picks up announcements within minutes of acceptance. **Q: How accurate are the extracted amounts?** A: `announcedAmounts` is a regex extraction of dollar figures from the filing body. It is high-precision on standard "up to $X billion / X million shares" language but is a convenience field, not a substitute for reading the filing. Always confirm the authoritative figure against the `documentUrl` before trading on it. **Q: Why is `ticker` sometimes null?** A: EDGAR maps many but not all filers to an exchange ticker. Smaller issuers, foreign private issuers, and recently-listed names may file without a mapped symbol; the `companyName` and `documentUrl` always resolve the entity. **Q: Can I search forms other than 8-K?** A: Yes. Pass any comma-separated form list to `forms` — buyback language frequently appears in 10-Q and 10-K filings as well as the headline 8-K. **Q: Can I pull historical announcements?** A: Yes. Set `startDate` and `endDate` (which override `daysBack`) to backfill any window EDGAR full-text search covers. **Q: What output formats are supported?** A: JSON, JSONL, CSV, and Excel via Apify's dataset export, plus webhook delivery. ### Schema stability & versioning This actor follows NexGenData's **additive-only schema** contract: - New fields may be **added** at any time — they appear as new JSON keys and default to `null` for older runs. - Existing fields are **never renamed or removed** without a major-version bump and an advance changelog notice. - Field semantics (date formats, the meaning of `announcedAmounts`) are **never silently changed** — if a change is needed, we add a new field and keep the old one for at least 90 days. You can build production pipelines on this actor without a Tuesday change breaking a Friday ETL job. ### Compliance & legal - The actor reads **public, unauthenticated SEC EDGAR pages** — the same full-text search index and filing documents any browser can open. - It identifies itself to the SEC with a compliant User-Agent (set yours via `userAgentContact`) per the SEC fair-access policy, and paces requests politely. - NexGenData is **not affiliated with, endorsed by, or sponsored by** the U.S. Securities and Exchange Commission. "EDGAR" is a service of the SEC. - The extracted `announcedAmounts` are a convenience parse; the filing at `documentUrl` is the authoritative primary source and should be verified before any investment or compliance decision. - You are responsible for ensuring your downstream use complies with applicable securities laws and the SEC's terms of access. ### Related NexGenData actors Part of NexGenData's **SEC / Disclosure** intelligence suite — pair this actor with: - [SEC Form 4 Insider Monitor](https://apify.com/nexgendata/sec-form-4-insider-monitor?fpr=2ayu9b) — CEO/CFO buys and sells, the insider counterpart to buyback signals - [SEC 8-K Event Monitor](https://apify.com/nexgendata/sec-8k-event-monitor?fpr=2ayu9b) — all material 8-K events, the form most buybacks are announced in - [SEC Tender Offer & M\&A Tracker](https://apify.com/nexgendata/sec-tender-offer-ma-tracker?fpr=2ayu9b) — takeover bids and tender offers - [SEC Executive Compensation & Proxy Tracker](https://apify.com/nexgendata/sec-exec-comp-proxy-tracker?fpr=2ayu9b) — DEF 14A pay and capital-allocation context - [SEC Form 3 New Insider & 10% Owner Tracker](https://apify.com/nexgendata/sec-form-3-new-insider-tracker?fpr=2ayu9b) — new insiders and beneficial owners - [SEC Activist Proxy Solicitation Tracker](https://apify.com/nexgendata/sec-activist-proxy-solicitation-tracker?fpr=2ayu9b) — activist campaigns that often trigger defensive buybacks Browse the full catalog of 200+ buyer-intent actors at **https://apify.com/nexgendata?fpr=2ayu9b**. # Actor input Schema ## `searchPhrases` (type: `array`): Buyback-related phrases to search in SEC filings (each run as an exact-phrase query). ## `forms` (type: `string`): Comma-separated SEC form types to search (e.g. '8-K' or '8-K,10-Q'). ## `daysBack` (type: `integer`): Look back this many days from today (ignored if startDate/endDate set). ## `startDate` (type: `string`): Override start of the date range. ## `endDate` (type: `string`): Override end of the date range. ## `extractAmounts` (type: `boolean`): Fetch each filing and extract the announced buyback dollar amounts (slower but adds the key signal). ## `maxResults` (type: `integer`): Maximum number of announcement filings to return. ## `userAgentContact` (type: `string`): SEC requires a User-Agent with contact info. Optional override (e.g. 'YourCompany you@email.com'). ## Actor input object example ```json { "searchPhrases": [ "share repurchase program", "accelerated share repurchase" ], "forms": "8-K", "daysBack": 90, "extractAmounts": true, "maxResults": 200 } ``` # 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 = { "searchPhrases": [ "share repurchase program", "accelerated share repurchase" ], "forms": "8-K" }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/stock-buyback-announcement-tracker").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 = { "searchPhrases": [ "share repurchase program", "accelerated share repurchase", ], "forms": "8-K", } # Run the Actor and wait for it to finish run = client.actor("nexgendata/stock-buyback-announcement-tracker").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 '{ "searchPhrases": [ "share repurchase program", "accelerated share repurchase" ], "forms": "8-K" }' | apify call nexgendata/stock-buyback-announcement-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/stock-buyback-announcement-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "📈 Stock Buyback Announcement Tracker", "description": "Track recent share-repurchase (buyback) announcements from SEC EDGAR filings, with authorized dollar amounts extracted. For equity investors, event-driven funds, and IR teams.", "version": "0.0", "x-build-id": "jmE8NI9A2UVnbQoH0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~stock-buyback-announcement-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-stock-buyback-announcement-tracker", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~stock-buyback-announcement-tracker/runs": { "post": { "operationId": "runs-sync-nexgendata-stock-buyback-announcement-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~stock-buyback-announcement-tracker/run-sync": { "post": { "operationId": "run-sync-nexgendata-stock-buyback-announcement-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchPhrases": { "title": "Search phrases", "type": "array", "description": "Buyback-related phrases to search in SEC filings (each run as an exact-phrase query).", "default": [ "share repurchase program" ], "items": { "type": "string" } }, "forms": { "title": "Filing form types", "type": "string", "description": "Comma-separated SEC form types to search (e.g. '8-K' or '8-K,10-Q').", "default": "8-K" }, "daysBack": { "title": "Days back", "minimum": 1, "maximum": 3650, "type": "integer", "description": "Look back this many days from today (ignored if startDate/endDate set).", "default": 90 }, "startDate": { "title": "Start date (YYYY-MM-DD)", "type": "string", "description": "Override start of the date range." }, "endDate": { "title": "End date (YYYY-MM-DD)", "type": "string", "description": "Override end of the date range." }, "extractAmounts": { "title": "Extract authorized amounts", "type": "boolean", "description": "Fetch each filing and extract the announced buyback dollar amounts (slower but adds the key signal).", "default": true }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of announcement filings to return.", "default": 200 }, "userAgentContact": { "title": "SEC User-Agent contact", "type": "string", "description": "SEC requires a User-Agent with contact info. Optional override (e.g. 'YourCompany you@email.com')." } } }, "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 } } } } } } } } } } ```