# NL New-Build Housing Permits Monitor (CBS) (`codeclouds/nl-nieuwbouwvergunningen-monitor`) Actor Officiele CBS-cijfers over vergunde nieuwbouwwoningen per Nederlandse gemeente en kwartaal, met filters op opdrachtgever en eigendomsvorm. - **URL**: https://apify.com/codeclouds/nl-nieuwbouwvergunningen-monitor.md - **Developed by:** [Dennis](https://apify.com/codeclouds) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 gemeente-periode-records 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## NL New-Build Housing Permits Monitor (CBS) 🏗️ Official CBS (Statistics Netherlands) figures on newly **permitted** homes per Dutch municipality and quarter — straight from CBS StatLine table `83671NED`. No login, no API key, no scraping: this is a direct government OData feed. ### Why this actor? Every quarter, CBS publishes how many new-build homes received a building permit, broken down by municipality, client type (government/housing corporation, market developer, private) and tenure (rental/owner-occupied). It's public, free, and goes back to 2012 — but it's only exposed as a raw OData API with quirky filter behavior (its own `$filter` on the period dimension silently ignores range operators — this actor works around that internally) and cryptic dimension codes (`T001209`, `A028184`, ...) instead of readable labels. This actor does that translation for you: - 🏘️ **Real building-permit counts per municipality/quarter** — homes, housing units, and holiday homes, going back to 2012KW01 - 🏷️ **Human-readable names**, not CBS dimension codes — resolves municipality names, client type and tenure live from CBS itself - 🎯 **Flexible breakdowns** — a single combined figure per municipality/quarter by default, or split by client type and/or tenure on request - 📊 **Zero configuration** — leave the input empty and get the latest available quarter for all ~341 municipalities in one run - 🚫 **No personal data** — this is purely aggregated permit-count statistics per municipality, not individual project or applicant data (see "What this Actor does NOT do" below) ### When should an AI agent use this? - "How many new homes were permitted in Amsterdam last quarter?" - "Compare new-build permit volumes between Utrecht, Rotterdam and The Hague over the last 2 years." - "Which municipalities show the strongest growth in market-developer-led new-build permits?" - "Get the historical trend of rental vs. owner-occupied new-build permits nationwide." - "Is new-build housing supply increasing or slowing down in [municipality]?" ### What this Actor does - Fetches building-permit records from CBS StatLine table `83671NED` via its OData API - Resolves municipality names and dimension codes (client type, tenure, quarter) to readable labels - Lets you filter by municipality (name or GM-code), quarter range, client-type breakdown and tenure breakdown - Caps output per run so you control dataset size and cost ### What this Actor does NOT do - **No individual project names, developers, or addresses.** CBS `83671NED` is aggregated at municipality level — it tells you *how many* homes were permitted, not *which* project. If you need project-level detail, this actor is a complementary, low-risk data source, not a replacement for platforms like Funda Nieuwbouw or Nieuwbouw-nederland.nl. - No "opgeleverd" (completed/delivered) figures — this table covers **permits granted**, an earlier pipeline stage than completion. ### Input | Field | Type | Description | |---|---|---| | `gemeenten` | string[] | Municipality names (e.g. `"Amsterdam"`) or GM-codes (e.g. `"GM0363"`). Leave empty for all ~341 municipalities. | | `periodeVanaf` | string | Start quarter, format `"2025KW04"`. Leave empty together with `periodeTot` to use only the latest available quarter. | | `periodeTot` | string | End quarter, format `"2025KW04"`. Leave empty to reuse `periodeVanaf` (a single quarter). | | `opdrachtgeverFilter` | string | `"totaal"` (default, one combined row), `"overheid-corporatie"`, `"markt"`, `"particulier"`, or `"alle"` (separate row per category). | | `eigendomFilter` | string | `"totaal"` (default, one combined row), `"huur"`, `"koop"`, or `"alle"` (separate row per tenure). | | `maxResults` | integer | Cap on output records per run (default `5000`, max `20000`). | | `berekenTrends` | boolean | Add quarter-on-quarter/year-on-year growth fields, calculated from the already-fetched period range. Default `false`. | | `provincieAggregatie` | boolean | Add extra summary records per province/quarter/breakdown, summed across all municipalities in that province. Default `false`. | ### Output ```json { "gemeente": "Amsterdam", "gemeenteCode": "GM0363", "periode": "2025KW04", "periodeLabel": "2025 4e kwartaal", "opdrachtgeverType": "Totaal opdrachtgevers", "eigendomsvorm": "Totaal", "aantalWoningen": 277, "aantalWooneenheden": 0, "aantalRecreatiewoningen": 0, "bouwkostenDuizendEuro": 44452, "bouwkostenPerWoning": 160476.9, "bouwkostenBetrouwbaar": true, "bron": "CBS StatLine 83671NED", "aantalWoningenVorigKwartaal": null, "deltaQoQ": null, "deltaQoQPercentage": null, "aantalWoningenVorigJaar": null, "deltaYoY": null, "deltaYoYPercentage": null, "trendBeschikbaar": false } ```` `bouwkostenDuizendEuro` is frequently `null` — CBS withholds building-cost figures when they'd be derived from fewer than 3 underlying permits, to avoid indirectly revealing individual permit values. `bouwkostenPerWoning` (bouwkostenDuizendEuro × 1000 / aantalWoningen) and `bouwkostenBetrouwbaar` are derived — the latter is `false` (not just `null`) whenever the calculation couldn't be made, so you can tell "not calculable" apart from "calculated as zero". #### Trend fields (`berekenTrends`, optional, separately charged) With `berekenTrends: true`, each record is compared against other records in the same fetched period range (same municipality/client-type/tenure): `aantalWoningenVorigKwartaal`, `deltaQoQ`, `deltaQoQPercentage` (vs. the previous quarter) and `aantalWoningenVorigJaar`, `deltaYoY`, `deltaYoYPercentage` (vs. the same quarter last year). `trendBeschikbaar` is `true` only when at least one of those comparisons was actually possible — e.g. the very first quarter in your fetched range has nothing to compare against, so it stays `false` rather than a guessed zero. Only records with `trendBeschikbaar: true` are charged the extra `trend-signaal-record` event. To make this actually work out of the box, the actor automatically fetches 1 extra quarter (for QoQ) and 1 extra year (for YoY) before the start of your requested period range whenever `berekenTrends` is enabled — purely as comparison material, never pushed to the dataset or charged. Without this, a plain `berekenTrends: true` with the default period range (just the latest quarter) would almost always come back with `trendBeschikbaar: false` for every record. The extra periods actually fetched are listed in `RUN_SUMMARY.extraPeriodesVoorTrendVergelijking`. #### Province aggregation (`provincieAggregatie`, optional, separately charged) With `provincieAggregatie: true`, extra records are added at the end of the run — one per province/quarter/client-type/tenure combination, summing `aantalWoningen`/`aantalWooneenheden`/ `aantalRecreatiewoningen` across every municipality in that province (via CBS StatLine `84721NED`, the official municipality-to-province mapping): ```json { "type": "provincie-periode", "provincie": "Noord-Holland", "provincieCode": "PV27", "periode": "2025KW04", "periodeLabel": "2025 4e kwartaal", "opdrachtgeverType": "Totaal opdrachtgevers", "eigendomsvorm": "Totaal", "aantalWoningen": 1830, "aantalWooneenheden": 12, "aantalRecreatiewoningen": 0, "aantalGemeenten": 47, "bron": "CBS StatLine 83671NED + 84721NED (gemeente-provincie-indeling)" } ``` Each such record is charged as `provincie-periode-record`. The province totals are always based on the full fetched set (before any `maxResults` cap is applied to the pushed municipality-level records), so a large, broad query never silently undercounts a province just because the cap fell inside it. If `maxResults` did cut off some municipality-level records, `RUN_SUMMARY.maxResultsAfgekapt`/`afgekapteRecords` reflects that. ### Use cases - **Real estate analysts / investors** — track which municipalities have the strongest new-build pipeline before it reaches project-listing platforms - **Construction companies** — spot municipalities with growing market-developer activity - **Municipal policy makers** — benchmark local new-build volume against comparable municipalities - **AI agents & MCP tools** — flat JSON, small input schema, resolved names instead of dimension codes - **Combine with NL Permits & Public Notices Leadfeed** (see Related Actors) — that actor surfaces individual spatial-plan publications (an earlier pipeline stage than a building permit); use this actor to validate the market-level trend a specific municipality is showing ### Pricing This Actor uses Apify's Pay-Per-Event (PPE) pricing model. - **Actor Start:** $0.00005 (Apify default) - **gemeente-periode-record:** $0.003 per output record - **trend-signaal-record:** $0.008 extra, only with `berekenTrends` enabled and only when a previous-period comparison was actually found - **provincie-periode-record:** $0.006 per province-level summary record, only with `provincieAggregatie` enabled ### Legal - Source: **CBS StatLine** (`opendata.cbs.nl`), the official statistics office of the Dutch government. Table `83671NED` is open data, explicitly published for reuse. - No authentication, no scraping — this is a direct, public OData API. - Data is aggregated per municipality/quarter/client-type/tenure. No addresses, project names, or personal data of any kind. ### FAQ **Q: Why does the default run only return one quarter instead of the full 2012-present history?** A: To keep the zero-configuration default fast and cheap. Set `periodeVanaf`/`periodeTot` to fetch a wider range — CBS has data back to `2012KW01`. **Q: I set a municipality name and got zero results — why?** A: CBS disambiguates municipalities that share a name with their province by adding a suffix, e.g. the province is "Utrecht" but the municipality is `"Utrecht (gemeente)"`. Use the exact CBS name, or a GM-code (e.g. `"GM0344"`) to avoid ambiguity. **Q: What does `opdrachtgeverFilter: "alle"` actually return?** A: One row per client-type category (government/housing corporation, market developer, private) instead of one combined row — useful when you need the breakdown, not just the total. **Q: How often is the data updated?** A: CBS publishes this table quarterly, with a lag of roughly one quarter. A monthly scheduled run is more than sufficient. ### Related Actors Also by this developer: - **[NL Permits & Public Notices Leadfeed](https://apify.com/codeclouds/nl-vergunningen-leadfeed)** — surfaces individual spatial-plan/permit publications, an earlier pipeline stage than the building permits aggregated here. Use both together for a full "new-build pipeline" view: spatial plan (leadfeed) → building permit volume (this actor). *** *Keywords: cbs bouwvergunningen, nieuwbouw per gemeente, statline 83671ned, dutch new-build housing permits, woningmarkt nederland, bouwvergunning statistieken.* ### Keywords netherlands, real-estate, housing, construction, cbs, statline, open-data, government-data, mcp-tool ### Changelog #### 0.3.2 - Bugfix - Fixed `berekenTrends` almost always returning `trendBeschikbaar: false` with the default input: the actor now automatically fetches 1 extra quarter/year of comparison-only data before the requested range starts whenever `berekenTrends` is enabled, so the trend feature actually works out of the box. No pricing change — correctness fix on the already-approved `trend-signaal-record` event. - Fixed `provincieAggregatie` silently undercounting a province when `maxResults` cut the municipality-level set inside that province's records: province totals are now based on the full fetched set, not the capped one. `RUN_SUMMARY` now also reports `maxResultsAfgekapt`/`afgekapteRecords`. No pricing change. #### 0.3.0 - Added `berekenTrends`: quarter-on-quarter/year-on-year growth fields, calculated purely from the fetched period range. New charged event `trend-signaal-record` ($0.008), only when a comparison was actually found. - Added `provincieAggregatie`: extra province-level summary records via CBS StatLine `84721NED` (the official municipality-to-province mapping). New charged event `provincie-periode-record` ($0.006). - Both confirmed by the user (2026-07-14, see docs/actor-verbeteringen/PRIJSBESLISSINGEN.md). #### 0.2.0 - Added `bouwkostenPerWoning` and `bouwkostenBetrouwbaar` — a derived building-cost-per-home figure, with an explicit boolean instead of a silent `null` when it can't be calculated. No pricing change. #### 0.1.0 - Initial release - Fetch building-permit records from CBS StatLine table 83671NED, filterable by municipality, quarter range, client type and tenure. - Live-resolved municipality names and dimension labels instead of raw CBS codes. - Client-type and tenure breakdown modes (combined total vs. separate rows per category). # Actor input Schema ## `gemeenten` (type: `array`): Municipality names (e.g. "Amsterdam", "Utrecht (gemeente)") or GM-codes (e.g. "GM0363"). Leave empty for all municipalities. ## `periodeVanaf` (type: `string`): Start quarter, format "2025KW04" (year + KW + quarter number 01-04). Leave empty together with 'Period to' to use only the latest available quarter. ## `periodeTot` (type: `string`): End quarter, format "2025KW04". Leave empty to use the same value as 'Period from' (or the latest quarter if both are empty). ## `opdrachtgeverFilter` (type: `string`): Filter by who commissioned the new-build permit. 'Total' returns one combined row per municipality/quarter (default). 'All breakdowns' returns a separate row per category. ## `eigendomFilter` (type: `string`): Filter by intended tenure. 'Total' returns one combined row per municipality/quarter (default). 'All breakdowns' returns a separate row for rental and owner-occupied. ## `maxResults` (type: `integer`): Caps how many output records this run produces (1-20,000). ## `berekenTrends` (type: `boolean`): Adds quarter-on-quarter and year-on-year growth fields, calculated purely from the already-fetched period range (no extra data source). Only charged (trend-signaal-record) when a previous quarter's value was actually found within the fetched range. ## `provincieAggregatie` (type: `boolean`): Adds extra summary records per province/quarter/breakdown, summed across all municipalities in that province (via CBS StatLine 84721NED, the official municipality-to-province mapping). ## Actor input object example ```json { "gemeenten": [], "opdrachtgeverFilter": "totaal", "eigendomFilter": "totaal", "maxResults": 5000, "berekenTrends": false, "provincieAggregatie": false } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("codeclouds/nl-nieuwbouwvergunningen-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 = {} # Run the Actor and wait for it to finish run = client.actor("codeclouds/nl-nieuwbouwvergunningen-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 '{}' | apify call codeclouds/nl-nieuwbouwvergunningen-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codeclouds/nl-nieuwbouwvergunningen-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "NL New-Build Housing Permits Monitor (CBS)", "description": "Officiele CBS-cijfers over vergunde nieuwbouwwoningen per Nederlandse gemeente en kwartaal, met filters op opdrachtgever en eigendomsvorm.", "version": "0.1", "x-build-id": "d2bljadQBCJiZxsec" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codeclouds~nl-nieuwbouwvergunningen-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codeclouds-nl-nieuwbouwvergunningen-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codeclouds~nl-nieuwbouwvergunningen-monitor/runs": { "post": { "operationId": "runs-sync-codeclouds-nl-nieuwbouwvergunningen-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codeclouds~nl-nieuwbouwvergunningen-monitor/run-sync": { "post": { "operationId": "run-sync-codeclouds-nl-nieuwbouwvergunningen-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "gemeenten": { "title": "Municipalities", "type": "array", "description": "Municipality names (e.g. \"Amsterdam\", \"Utrecht (gemeente)\") or GM-codes (e.g. \"GM0363\"). Leave empty for all municipalities.", "default": [], "items": { "type": "string" } }, "periodeVanaf": { "title": "Period from (quarter)", "type": "string", "description": "Start quarter, format \"2025KW04\" (year + KW + quarter number 01-04). Leave empty together with 'Period to' to use only the latest available quarter." }, "periodeTot": { "title": "Period to (quarter)", "type": "string", "description": "End quarter, format \"2025KW04\". Leave empty to use the same value as 'Period from' (or the latest quarter if both are empty)." }, "opdrachtgeverFilter": { "title": "Client (opdrachtgever) breakdown", "enum": [ "totaal", "overheid-corporatie", "markt", "particulier", "alle" ], "type": "string", "description": "Filter by who commissioned the new-build permit. 'Total' returns one combined row per municipality/quarter (default). 'All breakdowns' returns a separate row per category.", "default": "totaal" }, "eigendomFilter": { "title": "Tenure (eigendom) breakdown", "enum": [ "totaal", "huur", "koop", "alle" ], "type": "string", "description": "Filter by intended tenure. 'Total' returns one combined row per municipality/quarter (default). 'All breakdowns' returns a separate row for rental and owner-occupied.", "default": "totaal" }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 20000, "type": "integer", "description": "Caps how many output records this run produces (1-20,000).", "default": 5000 }, "berekenTrends": { "title": "Calculate QoQ/YoY trends", "type": "boolean", "description": "Adds quarter-on-quarter and year-on-year growth fields, calculated purely from the already-fetched period range (no extra data source). Only charged (trend-signaal-record) when a previous quarter's value was actually found within the fetched range.", "default": false }, "provincieAggregatie": { "title": "Add province-level aggregation", "type": "boolean", "description": "Adds extra summary records per province/quarter/breakdown, summed across all municipalities in that province (via CBS StatLine 84721NED, the official municipality-to-province mapping).", "default": 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 } } } } } } } } } } ```