# Newsletter & Podcast Sponsor Lead Scorer (`rotvuvo/newsletter-podcast-sponsor-lead-scorer`) Actor Score newsletter and podcast sponsor evidence as CRM-ready sponsorship leads with transparent fit reasons and outreach angles. - **URL**: https://apify.com/rotvuvo/newsletter-podcast-sponsor-lead-scorer.md - **Developed by:** [Wit Nomad](https://apify.com/rotvuvo) (community) - **Categories:** Marketing, Lead generation - **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Newsletter & Podcast Sponsor Lead Scorer Score newsletter and podcast sponsor evidence as CRM-ready sponsorship leads with transparent fit reasons, risk flags, and outreach angles. This Actor is intentionally **ingest-first**. It does not scrape the web, bypass logins, collect contacts, send outreach, or verify ad spend. Bring rows from existing Apify Actors, RSS exports, spreadsheets, CRM research, or manual collection. ### Who It Is For - Newsletter publishers researching relevant sponsor prospects. - Podcast hosts and media sales teams prioritizing sponsor leads. - Sponsorship agencies turning public-style evidence into CRM rows. - Brands monitoring creator sponsorship activity from data they already collected. ### Input Required: - `mode`: must be `items`. - `items`: non-empty array of sponsor-evidence-like rows. Optional: - `brandProfile`: string or object describing the advertiser, product, service, or creator offer. - `targetAudience`: audience terms to reward, such as `SaaS founders` or `AI builders`. - `targetCategories`: category/niche terms to reward. - `excludedNiches`: category or content terms to penalize. - `competitors`: competitor or similar brand names for CRM review context. - `maxItems`: default `500`, maximum `5000`. - `scrapedAt`: ISO timestamp override for deterministic output. Common row fields: - Creator identity: `creatorName`, `publicationName`, `showName`, `channelName` - Source: `platform`, `sourceUrl`, `rssUrl`, `episodeUrl`, `postUrl`, `source` - Content: `title`, `excerpt`, `text`, `description`, `transcriptSnippet` - Timing/category: `publishDate`, `postedAt`, `category`, `tags`, `audienceHint` - Sponsor evidence: `sponsorMentions`, `sponsorBrand`, `landingPage`, `offerText`, `couponCode` ### Output Each output row is flat and deduped by creator, platform, and sponsor/source evidence: - `dedupeKey` - `creatorName` - `platform` - `sourceUrl` - `publishDate` - `detectedSponsors` - `sponsorEvidenceSnippets` - `audienceFitScore` - `commercialReadiness` - `fitReasons` - `sponsorFrequencyHint` - `recommendedAction` - `outreachAngle` - `crmNote` - `riskFlags` - `warnings` - `scrapedAt` ### Scoring The score is deterministic and clamped to `0..100`: - direct sponsor evidence: `+30` - commercial readiness hint: `+20` - target audience or category fit: `+25` - recent publish date: `+10` - source URL present: `+5` - excluded niche match: `-15` - missing source URL: `-10` - no direct sponsor evidence: `-20` Labels: - `hot`: `70..100` - `warm`: `40..69` - `cold`: below `40` ### Example Use Cases - Score sponsor mentions from newsletter exports before importing into a CRM. - Normalize podcast episode rows with sponsor arrays into one deduped lead list. - Penalize excluded niches while preserving the evidence for human review. - Generate evidence-led outreach angles without claiming verified budget, spend, contact data, or guaranteed conversion. ### Local Development ```bash npm install npm test node src/main.js --input ../../samples/sponsor-leads/newsletter-podcast-sponsor-lead-scorer-input.json --output ../../samples/sponsor-leads/newsletter-podcast-sponsor-lead-scorer-output.json apify validate-schema ```` ### CLI Example ```bash node src/main.js --input input.json --output output.json ``` Minimal input: ```json { "mode": "items", "brandProfile": "AI workflow automation platform for B2B SaaS teams", "targetAudience": ["SaaS founders", "AI builders"], "targetCategories": ["AI", "SaaS"], "items": [ { "publicationName": "AI Operator Weekly", "platform": "newsletter", "sourceUrl": "https://aioperator.example/p/sponsored", "publishDate": "2026-07-02", "excerpt": "Today's sponsor is OpsPilot. Use coupon BUILD20.", "audienceHint": "SaaS founders and AI builders", "sponsorMentions": "OpsPilot" } ] } ``` ### Limitations - v0.1 supports `items` mode only. - It does not scrape arbitrary newsletters, podcast pages, YouTube, or paywalled sources. - It does not collect private contact data or email addresses. - It does not send outreach. - It does not verify ad spend, budget authority, sponsorship pricing, or conversion likelihood. - Treat the output as CRM review support, not as proof of a commercial relationship beyond the supplied evidence. # Actor input Schema ## `mode` (type: `string`): Input mode. This version supports pasted sponsor-evidence items only. ## `items` (type: `array`): Rows from newsletter, podcast, RSS, spreadsheet, CRM, or manual sponsor-evidence research. Common fields: creatorName, publicationName, showName, channelName, platform, sourceUrl, rssUrl, episodeUrl, postUrl, title, excerpt, text, description, transcriptSnippet, publishDate, postedAt, category, tags, audienceHint, sponsorMentions, sponsorBrand, landingPage, offerText, couponCode, source. ## `brandProfile` (type: `string,object`): Advertiser, creator, product, or service profile used to write deterministic outreach angles. ## `targetAudience` (type: `array`): Audience terms that indicate fit, such as SaaS founders, RevOps, AI builders, or developer teams. ## `targetCategories` (type: `array`): Newsletter, podcast, creator, or niche categories that indicate fit. ## `excludedNiches` (type: `array`): Terms to penalize when they appear in category, text, tags, or audience hints. ## `competitors` (type: `array`): Optional competitor or adjacent brand names for downstream review. This version does not claim spend or budget from these terms. ## `maxItems` (type: `integer`): Maximum input rows to process. ## `scrapedAt` (type: `string`): Optional ISO timestamp used for deterministic output metadata and recency scoring. This Actor does not scrape; the field preserves compatibility with imported evidence rows. ## Actor input object example ```json { "mode": "items", "items": [ { "publicationName": "AI Operator Weekly", "platform": "newsletter", "sourceUrl": "https://aioperator.example/p/ops-pilot-sponsored?utm_source=sample", "title": "This week in practical AI automation", "excerpt": "Today's sponsor is OpsPilot. Use coupon BUILD20 for founder-friendly workflow automation.", "publishDate": "2026-07-02", "category": "AI startups", "tags": [ "SaaS founders", "automation" ], "audienceHint": "B2B SaaS founders and AI builders", "sponsorMentions": "OpsPilot", "offerText": "OpsPilot helps small teams automate handoffs without hiring a full operations squad." }, { "showName": "Creator Revenue Lab", "platform": "podcast", "episodeUrl": "https://podcasts.example/creator-revenue-lab/88?ref=sample", "title": "How niche creators package premium sponsorships", "description": "This episode includes a sponsor read from MediaKit Pro and a promo code for new publisher accounts.", "postedAt": "2026-06-26T09:00:00.000Z", "category": "creator monetization", "tags": [ "newsletter growth", "sponsorships" ], "audienceHint": "independent publishers and creator operators", "sponsorMentions": [ "MediaKit Pro" ] }, { "channelName": "Weekend Notes", "platform": "manual", "title": "A few thoughts from the week", "text": "A casual personal update about writing routines, books, and local events.", "postedAt": "2026-06-30", "category": "personal blog" } ], "brandProfile": "AI workflow automation platform for B2B SaaS and RevOps teams", "targetAudience": [ "SaaS founders", "RevOps", "AI builders" ], "targetCategories": [ "AI", "SaaS", "operations" ], "excludedNiches": [ "gambling", "adult" ], "competitors": [ "WorkflowPilot", "OpsStack" ], "maxItems": 500, "scrapedAt": "2026-07-05T12:00:00.000Z" } ``` # 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 = { "mode": "items", "items": [ { "publicationName": "AI Operator Weekly", "platform": "newsletter", "sourceUrl": "https://aioperator.example/p/ops-pilot-sponsored?utm_source=sample", "title": "This week in practical AI automation", "excerpt": "Today's sponsor is OpsPilot. Use coupon BUILD20 for founder-friendly workflow automation.", "publishDate": "2026-07-02", "category": "AI startups", "tags": [ "SaaS founders", "automation" ], "audienceHint": "B2B SaaS founders and AI builders", "sponsorMentions": "OpsPilot", "offerText": "OpsPilot helps small teams automate handoffs without hiring a full operations squad." }, { "showName": "Creator Revenue Lab", "platform": "podcast", "episodeUrl": "https://podcasts.example/creator-revenue-lab/88?ref=sample", "title": "How niche creators package premium sponsorships", "description": "This episode includes a sponsor read from MediaKit Pro and a promo code for new publisher accounts.", "postedAt": "2026-06-26T09:00:00.000Z", "category": "creator monetization", "tags": [ "newsletter growth", "sponsorships" ], "audienceHint": "independent publishers and creator operators", "sponsorMentions": [ "MediaKit Pro" ] }, { "channelName": "Weekend Notes", "platform": "manual", "title": "A few thoughts from the week", "text": "A casual personal update about writing routines, books, and local events.", "postedAt": "2026-06-30", "category": "personal blog" } ], "brandProfile": "AI workflow automation platform for B2B SaaS and RevOps teams", "targetAudience": [ "SaaS founders", "RevOps", "AI builders" ], "targetCategories": [ "AI", "SaaS", "operations" ], "excludedNiches": [ "gambling", "adult" ], "competitors": [ "WorkflowPilot", "OpsStack" ], "scrapedAt": "2026-07-05T12:00:00.000Z" }; // Run the Actor and wait for it to finish const run = await client.actor("rotvuvo/newsletter-podcast-sponsor-lead-scorer").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 = { "mode": "items", "items": [ { "publicationName": "AI Operator Weekly", "platform": "newsletter", "sourceUrl": "https://aioperator.example/p/ops-pilot-sponsored?utm_source=sample", "title": "This week in practical AI automation", "excerpt": "Today's sponsor is OpsPilot. Use coupon BUILD20 for founder-friendly workflow automation.", "publishDate": "2026-07-02", "category": "AI startups", "tags": [ "SaaS founders", "automation", ], "audienceHint": "B2B SaaS founders and AI builders", "sponsorMentions": "OpsPilot", "offerText": "OpsPilot helps small teams automate handoffs without hiring a full operations squad.", }, { "showName": "Creator Revenue Lab", "platform": "podcast", "episodeUrl": "https://podcasts.example/creator-revenue-lab/88?ref=sample", "title": "How niche creators package premium sponsorships", "description": "This episode includes a sponsor read from MediaKit Pro and a promo code for new publisher accounts.", "postedAt": "2026-06-26T09:00:00.000Z", "category": "creator monetization", "tags": [ "newsletter growth", "sponsorships", ], "audienceHint": "independent publishers and creator operators", "sponsorMentions": ["MediaKit Pro"], }, { "channelName": "Weekend Notes", "platform": "manual", "title": "A few thoughts from the week", "text": "A casual personal update about writing routines, books, and local events.", "postedAt": "2026-06-30", "category": "personal blog", }, ], "brandProfile": "AI workflow automation platform for B2B SaaS and RevOps teams", "targetAudience": [ "SaaS founders", "RevOps", "AI builders", ], "targetCategories": [ "AI", "SaaS", "operations", ], "excludedNiches": [ "gambling", "adult", ], "competitors": [ "WorkflowPilot", "OpsStack", ], "scrapedAt": "2026-07-05T12:00:00.000Z", } # Run the Actor and wait for it to finish run = client.actor("rotvuvo/newsletter-podcast-sponsor-lead-scorer").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 '{ "mode": "items", "items": [ { "publicationName": "AI Operator Weekly", "platform": "newsletter", "sourceUrl": "https://aioperator.example/p/ops-pilot-sponsored?utm_source=sample", "title": "This week in practical AI automation", "excerpt": "Today'\''s sponsor is OpsPilot. Use coupon BUILD20 for founder-friendly workflow automation.", "publishDate": "2026-07-02", "category": "AI startups", "tags": [ "SaaS founders", "automation" ], "audienceHint": "B2B SaaS founders and AI builders", "sponsorMentions": "OpsPilot", "offerText": "OpsPilot helps small teams automate handoffs without hiring a full operations squad." }, { "showName": "Creator Revenue Lab", "platform": "podcast", "episodeUrl": "https://podcasts.example/creator-revenue-lab/88?ref=sample", "title": "How niche creators package premium sponsorships", "description": "This episode includes a sponsor read from MediaKit Pro and a promo code for new publisher accounts.", "postedAt": "2026-06-26T09:00:00.000Z", "category": "creator monetization", "tags": [ "newsletter growth", "sponsorships" ], "audienceHint": "independent publishers and creator operators", "sponsorMentions": [ "MediaKit Pro" ] }, { "channelName": "Weekend Notes", "platform": "manual", "title": "A few thoughts from the week", "text": "A casual personal update about writing routines, books, and local events.", "postedAt": "2026-06-30", "category": "personal blog" } ], "brandProfile": "AI workflow automation platform for B2B SaaS and RevOps teams", "targetAudience": [ "SaaS founders", "RevOps", "AI builders" ], "targetCategories": [ "AI", "SaaS", "operations" ], "excludedNiches": [ "gambling", "adult" ], "competitors": [ "WorkflowPilot", "OpsStack" ], "scrapedAt": "2026-07-05T12:00:00.000Z" }' | apify call rotvuvo/newsletter-podcast-sponsor-lead-scorer --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=rotvuvo/newsletter-podcast-sponsor-lead-scorer", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Newsletter & Podcast Sponsor Lead Scorer", "description": "Score newsletter and podcast sponsor evidence as CRM-ready sponsorship leads with transparent fit reasons and outreach angles.", "version": "0.1", "x-build-id": "7igmdlhl8Luwdhape" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/rotvuvo~newsletter-podcast-sponsor-lead-scorer/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-rotvuvo-newsletter-podcast-sponsor-lead-scorer", "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/rotvuvo~newsletter-podcast-sponsor-lead-scorer/runs": { "post": { "operationId": "runs-sync-rotvuvo-newsletter-podcast-sponsor-lead-scorer", "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/rotvuvo~newsletter-podcast-sponsor-lead-scorer/run-sync": { "post": { "operationId": "run-sync-rotvuvo-newsletter-podcast-sponsor-lead-scorer", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode", "items" ], "properties": { "mode": { "title": "Mode", "enum": [ "items" ], "type": "string", "description": "Input mode. This version supports pasted sponsor-evidence items only.", "default": "items" }, "items": { "title": "Sponsor evidence rows", "minItems": 1, "type": "array", "description": "Rows from newsletter, podcast, RSS, spreadsheet, CRM, or manual sponsor-evidence research. Common fields: creatorName, publicationName, showName, channelName, platform, sourceUrl, rssUrl, episodeUrl, postUrl, title, excerpt, text, description, transcriptSnippet, publishDate, postedAt, category, tags, audienceHint, sponsorMentions, sponsorBrand, landingPage, offerText, couponCode, source.", "items": { "type": "object" } }, "brandProfile": { "title": "Brand profile", "description": "Advertiser, creator, product, or service profile used to write deterministic outreach angles." }, "targetAudience": { "title": "Target audience", "type": "array", "description": "Audience terms that indicate fit, such as SaaS founders, RevOps, AI builders, or developer teams.", "items": { "type": "string" } }, "targetCategories": { "title": "Target categories", "type": "array", "description": "Newsletter, podcast, creator, or niche categories that indicate fit.", "items": { "type": "string" } }, "excludedNiches": { "title": "Excluded niches", "type": "array", "description": "Terms to penalize when they appear in category, text, tags, or audience hints.", "items": { "type": "string" } }, "competitors": { "title": "Competitors or similar brands", "type": "array", "description": "Optional competitor or adjacent brand names for downstream review. This version does not claim spend or budget from these terms.", "items": { "type": "string" } }, "maxItems": { "title": "Maximum rows", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum input rows to process.", "default": 500 }, "scrapedAt": { "title": "Reference timestamp", "type": "string", "description": "Optional ISO timestamp used for deterministic output metadata and recency scoring. This Actor does not scrape; the field preserves compatibility with imported evidence rows." } } }, "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 } } } } } } } } } } ```