# ๐Ÿ’ฐ SEC Reg A/A+ Crowdfunding & Form D Amendments Tracker (`nexgendata/sec-reg-a-plus-crowdfunding-offerings-tracker`) Actor Tracks SEC Reg A / Reg A+ crowdfunding offerings (Forms 1-A, 1-A/A, 1-K) plus Form D/A amendments โ€” the under-tracked $5M-$75M private capital tier between Reg D and a full S-1 IPO. Returns issuer, CIK, ticker, offering size, Tier 1 / Tier 2, state of incorporation, principal office s - **URL**: https://apify.com/nexgendata/sec-reg-a-plus-crowdfunding-offerings-tracker.md - **Developed by:** [NexGenData](https://apify.com/nexgendata) (community) - **Categories:** Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $150.00 / 1,000 crowdfunding filings 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 ## ๐Ÿ’ฐ SEC Reg A/A+ Crowdfunding Offerings & Form D Amendments Tracker **Reg A/A+ is the under-tracked crowdfunding mid-tier โ€” the $5Mโ€“$75M offerings sitting between a Reg D private placement and a full S-1 IPO.** Every Reg A Tier 1 caps at $20M / 12 months, every Tier 2 caps at $75M, and the SEC qualifies every one of them via EDGAR โ€” but there's no clean monitoring feed for VC associates, secondary-market analysts, or retail crowdfunding researchers tracking Republic / StartEngine / SmallChange alumni. This actor closes that gap and bundles in **Form D/A amendments** (private-placement upsizes / repricings) so the equity-crowdfunding research stack is one input away. ### โšก What you get For every Reg A offering circular (**1-A**), amendment (**1-A/A**), Reg A annual report (**1-K**), and Form D amendment (**D/A**) on EDGAR in your time window โ€” with the offering-size and form-type filters applied โ€” you get a single clean row containing: | Field | What it is | |---|---| | `issuer`, `cik`, `ticker` | Issuer entity name, EDGAR CIK, ticker (if the issuer is also reporting under '34 Act) | | `form_type` | `1-A`, `1-A/A`, `1-K`, or `D/A` | | `offering_amount`, `offering_amount_min`, `offering_amount_max` | Total aggregate offering in USD plus the min/max range. For 1-A/A the spread captures issuer vs total aggregate; for D/A it's amount already sold vs total offering | | `offering_tier` | `Tier 1` (โ‰ค$20M), `Tier 2` (โ‰ค$75M Reg A+), `N/A (Reg D)`, or `N/A (Annual Report)` for 1-K | | `state_of_incorporation`, `principal_office_state` | Inc. jurisdiction + principal office US state for blue-sky overlay | | `filing_date`, `qualification_date` | When the form was filed; when the SEC qualified the offering (Reg A only โ€” derived from issuer's submissions feed, looking back up to 18 months for the most recent QUALIF / 253(g)2 marker) | | `use_of_proceeds` | Securities type + industry classification + Reg D federal exemptions (e.g. `Industry: Pooled Investment Fund ยท Fund type: Hedge Fund ยท Securities: PooledInvestmentFund ยท Exemptions: 06b`) | | `accredited_only` | Boolean โ€” true when D/A has `nonAccreditedInvestorCount = 0`. Null for Reg A (statutorily not accredited-only) | | `securities_type`, `price_per_security`, `securities_offered_count` | Reg A extras โ€” type of securities offered (equity / debt / bonds), price per share, total count being offered | | `minimum_investment`, `total_amount_sold`, `federal_exemptions`, `previous_accession_number` | Form D extras โ€” the previous_accession_number lets you reconstruct the full amendment lineage | | `industry_group`, `investment_fund_type`, `entity_type` | Form D context for hedge fund / VC / PE filter overlays | | `filing_url`, `filing_index_url`, `accession_number`, `source` | Direct EDGAR primary_doc.xml link + parent index + accession | ### ๐ŸŽฏ Use cases **VC associate tracking the secondary market** โ€” Reg A Tier 2 offerings are public-by-design and freely tradable. Surface every $5Mโ€“$75M deal that's coming or has just qualified, score by issuer state + SIC + offering tier, and feed the most-relevant ones into your deal-flow pipeline. The `qualification_date` field tells you when the secondary market becomes legal. **Secondary-market analyst at a retail platform** โ€” Republic, StartEngine, Dalmore, SmallChange and similar platforms are the secondary venues for qualified Reg A+ tokens / shares. Daily Reg A monitoring at the qualification gate is the bid/ask signal. Use `offering_tier == "Tier 2"` + `filing_date` for the seven-day fresh-qualification cohort. **Retail-investor crowdfunding researcher** โ€” The "X just opened on Republic" announcements lag the actual Reg A qualification by days. Subscribe to this actor with `form_type: "1-A"` + `min_offering_size: 0` to pre-empt the platform email. **Startup ecosystem analyst** โ€” Form D/A amendments are the leading indicator that a private placement is being **upsized** or **repriced** mid-flight. Filter `form_type: "D/A"` + `offering_amount >= 25_000_000` to track late-stage growth rounds without waiting for TechCrunch. ### ๐Ÿ“Š Sample Output ![Sample output](https://api.apify.com/v2/key-value-stores/8gLgXMBveEI1tTz1z/records/sec-reg-a-plus-crowdfunding-offerings-tracker-output.png) ### ๐Ÿš€ How to Use #### Default monitoring input ```json { "form_type": "all", "min_offering_size": 5000000, "max_offering_size": 75000000, "days_back": 90, "max_filings": 100 } ```` #### Tier-2-only Reg A tracker ```json { "form_type": "1-A", "min_offering_size": 20000001, "max_offering_size": 75000000, "days_back": 30, "max_filings": 100 } ``` #### Form D amendments only (private-placement upsizes) ```json { "form_type": "D/A", "min_offering_size": 10000000, "max_offering_size": 0, "days_back": 30, "max_filings": 200 } ``` #### Sample output row ```json { "issuer": "Stellar Spirits & Wines, Inc.", "cik": "2064965", "ticker": null, "form_type": "1-A/A", "offering_amount": 10000000.0, "offering_amount_min": 10000000.0, "offering_amount_max": 10000000.0, "offering_tier": "Tier 1", "state_of_incorporation": "CA", "principal_office_state": "CA", "filing_date": "2026-05-29", "qualification_date": null, "use_of_proceeds": "Securities offered: Equity (common or preferred stock)", "accredited_only": null, "exchange": null, "sic": "2080", "sic_description": "Beverages", "biz_location": "Anaheim, CA", "accession_number": "0001683168-26-004380", "securities_type": "Equity (common or preferred stock)", "price_per_security": 2.0, "securities_offered_count": 5000000.0, "minimum_investment": null, "total_amount_sold": null, "federal_exemptions": null, "previous_accession_number": null, "industry_group": null, "investment_fund_type": null, "entity_type": null, "filing_url": "https://www.sec.gov/Archives/edgar/data/2064965/000168316826004380/primary_doc.xml", "filing_index_url": "https://www.sec.gov/Archives/edgar/data/2064965/000168316826004380/", "source": "SEC EDGAR โ€” efts.sec.gov + data.sec.gov submissions" } ``` #### Python (apify-client) ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("nexgendata/sec-reg-a-plus-crowdfunding-offerings-tracker").call( run_input={ "form_type": "1-A", "min_offering_size": 5000000, "max_offering_size": 75000000, "days_back": 60, "max_filings": 50, } ) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item["issuer"], item["form_type"], item["offering_amount"], item["filing_date"]) ``` #### cURL ```bash curl -X POST "https://api.apify.com/v2/acts/nexgendata~sec-reg-a-plus-crowdfunding-offerings-tracker/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{"form_type":"D/A","min_offering_size":10000000,"days_back":30,"max_filings":50}' ``` ### ๐Ÿ”— Related Actors Part of the NexGenData SEC family โ€” every actor below is currently public on Apify Store: - [SEC Form D Private Placement Tracker](https://apify.com/nexgendata/sec-form-d-scraper) โ€” the original Form D (not amendments) feed. Pair with this actor for full Reg D coverage (original + amendments). - [SEC Form 13F Holdings Tracker โ€” Hedge Fund Filings](https://apify.com/nexgendata/sec-form-13f-tracker-pro) โ€” institutional investor 13F holdings for counterparty / co-investor analysis on the same issuers. - [SEC Litigation Releases โ€” Enforcement Tracker](https://apify.com/nexgendata/sec-litigation-releases) โ€” SEC enforcement actions. Cross-reference with Reg A issuers for risk overlay. ### โš–๏ธ Legal & data-source notes - **All data is SEC EDGAR public disclosure.** Reg A (1-A, 1-A/A, 1-K) and Form D (D/A) primary documents are filed in machine-readable XML and are public domain under the Securities Act of 1933. - **SEC fair-access policy:** every HTTP request to `efts.sec.gov`, `www.sec.gov/Archives`, and `data.sec.gov` carries `User-Agent: NexGenData SEC Reg A Actor hello@thenextgennexus.com`. Requests are throttled to ~6 req/sec โ€” well under EDGAR's documented 10 req/sec cap. - **Qualification date is derived, not raw.** The SEC's qualification of a Reg A offering is signaled by a QUALIF order or by the issuer's first post-qualification supplement (253(g)2, 253(g)3, 253(g)4). We look back up to 18 months from the filing date for the most recent qualification marker in the issuer's submissions feed. For 1-A initial filings that have NOT been qualified yet, this field is null โ€” that's the signal, not a bug. - **`use_of_proceeds` is composed, not free-text.** Reg A 1-A primary\_doc.xml doesn't carry a free-text use-of-proceeds field (that lives in the Part II/III prospectus HTML, which we don't parse here for cost reasons). We compose a structured proxy from securities type + industry classification + federal exemptions. For the full narrative, the issuer's prospectus HTML at `filing_index_url` is one click away. - **`accredited_only` only applies to D/A.** Reg A offerings are statutorily not accredited-only โ€” that's the whole point of the regime. The field stays null for 1-A / 1-A/A / 1-K filings. - **EDGAR's `1-A/A` form code is distinct from `1-A`.** We treat them as separate variants in the `form_type` enum so consumers can subscribe to amendments only. - **Retry policy:** every EDGAR request gets 3 attempts ร— 12s backoff on 5xx and network errors. Transient EDGAR brownouts (common at top-of-hour) recover cleanly without losing the run. ### โ“ FAQ **Q: How is this different from just running EDGAR full-text search myself?** A: EDGAR FTS returns one row per accession โ€” you still have to fetch every primary\_doc.xml, parse the namespaced XML, look up the issuer's submissions feed for ticker + qualification, and de-dup the form-variant clutter. This actor does all of that in one async pipeline with retry policy and pushes a flat dataset. **Q: Why is `qualification_date` sometimes null?** A: Because the offering hasn't been qualified yet. Reg A qualification happens AFTER the SEC reviews the 1-A. If you see a 1-A filed yesterday with `qualification_date: null`, that's the leading edge โ€” bookmark the issuer and the field will populate on the next monthly run. **Q: I want only true crowdfunding (Tier 2 Reg A+) โ€” how do I filter?** A: Set `form_type: "1-A"` + `min_offering_size: 20000001` + `max_offering_size: 75000000`. Tier 1 caps at $20M, so anything above that is Tier 2 by statute. **Q: Does this pick up Reg CF (Form C)?** A: No โ€” Reg CF (Regulation Crowdfunding, max $5M) is a separate Form C family. This actor is scoped to Reg A / Reg A+ / Form D-A. Reg CF support is on the NexGenData roadmap as a separate actor. **Q: Can I schedule it daily?** A: Yes โ€” Apify scheduled tasks pair cleanly with `days_back: 1` for a daily monitor. New Reg A filings are sparse (typically 3-15 per day), so a single daily run is plenty. **Q: How does subsequent-amendment lineage work?** A: For D/A filings, the `previous_accession_number` field carries the parent Form D's accession. Walk backwards through D โ†’ D/A โ†’ D/A โ†’ ... to reconstruct the full upsize / repricing history of a single offering. For 1-A โ†’ 1-A/A lineage, EDGAR doesn't expose a previous-accession pointer; join on `cik` + `filing_date` ordering instead. ### ๐Ÿท๏ธ About NexGenData NexGenData ships clean, schema-stable scrapers for the public-data sources that compliance, capital-markets, and regulatory-intel teams actually need. Every SEC actor is throttled per the SEC fair-access policy, ships with retry/backoff, and surfaces structured fields (not raw HTML) so you can wire output straight into your warehouse or alerting stack. Suggestions or specific filing types you'd like covered: `hello@thenextgennexus.com`. # Actor input Schema ## `form_type` (type: `string`): Which Reg A / Form D-A family to scrape. '1-A' is the original Reg A offering circular; '1-A/A' is an amendment to a 1-A; '1-K' is the annual report on a qualified Reg A offering; 'D/A' is a Form D amendment (Reg D private-placement upsizes / repricings). 'all' returns every variant. ## `min_offering_size` (type: `integer`): Lower bound on the offering's total aggregate amount in USD. Default $5,000,000 surfaces the crowdfunding mid-tier (Reg A Tier 1 floor / typical mid-band Reg D amendment). Set to 0 to disable. Only applied to filings that publish an explicit offering amount (so 1-K annual reports are never filtered out). ## `max_offering_size` (type: `integer`): Upper bound on the offering's total aggregate amount in USD. Default $75,000,000 caps at the Reg A Tier 2 statutory ceiling โ€” set to 0 (or omit) for no upper bound. Useful for separating Reg A+ from large Reg D amendments. ## `days_back` (type: `integer`): Look-back window in days. Reg A filings are infrequent (a few hundred per quarter), so 90 days is the comfortable monitoring default. Use 30 for weekly watchlists or 365 for backtesting. ## `max_filings` (type: `integer`): Hard cap on filings pushed to the dataset. Each filing fans out to 1 primary XML fetch + 1 issuer submissions fetch (for ticker + Reg A qualification date enrichment). 100 covers most monitoring use cases; up to 500 for backtests. ## Actor input object example ```json { "form_type": "all", "min_offering_size": 5000000, "max_offering_size": 75000000, "days_back": 90, "max_filings": 100 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "form_type": "all", "min_offering_size": 5000000, "max_offering_size": 75000000, "days_back": 90, "max_filings": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/sec-reg-a-plus-crowdfunding-offerings-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${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 = { "form_type": "all", "min_offering_size": 5000000, "max_offering_size": 75000000, "days_back": 90, "max_filings": 100, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/sec-reg-a-plus-crowdfunding-offerings-tracker").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 '{ "form_type": "all", "min_offering_size": 5000000, "max_offering_size": 75000000, "days_back": 90, "max_filings": 100 }' | apify call nexgendata/sec-reg-a-plus-crowdfunding-offerings-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/sec-reg-a-plus-crowdfunding-offerings-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "๐Ÿ’ฐ SEC Reg A/A+ Crowdfunding & Form D Amendments Tracker", "description": "Tracks SEC Reg A / Reg A+ crowdfunding offerings (Forms 1-A, 1-A/A, 1-K) plus Form D/A amendments โ€” the under-tracked $5M-$75M private capital tier between Reg D and a full S-1 IPO. Returns issuer, CIK, ticker, offering size, Tier 1 / Tier 2, state of incorporation, principal office s", "version": "0.0", "x-build-id": "7luqPby7K4cD7nvoQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~sec-reg-a-plus-crowdfunding-offerings-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-sec-reg-a-plus-crowdfunding-offerings-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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~sec-reg-a-plus-crowdfunding-offerings-tracker/runs": { "post": { "operationId": "runs-sync-nexgendata-sec-reg-a-plus-crowdfunding-offerings-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~sec-reg-a-plus-crowdfunding-offerings-tracker/run-sync": { "post": { "operationId": "run-sync-nexgendata-sec-reg-a-plus-crowdfunding-offerings-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": { "form_type": { "title": "Form type", "enum": [ "1-A", "1-A/A", "1-K", "D/A", "all" ], "type": "string", "description": "Which Reg A / Form D-A family to scrape. '1-A' is the original Reg A offering circular; '1-A/A' is an amendment to a 1-A; '1-K' is the annual report on a qualified Reg A offering; 'D/A' is a Form D amendment (Reg D private-placement upsizes / repricings). 'all' returns every variant.", "default": "all" }, "min_offering_size": { "title": "Minimum offering size (USD)", "minimum": 0, "type": "integer", "description": "Lower bound on the offering's total aggregate amount in USD. Default $5,000,000 surfaces the crowdfunding mid-tier (Reg A Tier 1 floor / typical mid-band Reg D amendment). Set to 0 to disable. Only applied to filings that publish an explicit offering amount (so 1-K annual reports are never filtered out).", "default": 5000000 }, "max_offering_size": { "title": "Maximum offering size (USD, optional)", "minimum": 0, "type": "integer", "description": "Upper bound on the offering's total aggregate amount in USD. Default $75,000,000 caps at the Reg A Tier 2 statutory ceiling โ€” set to 0 (or omit) for no upper bound. Useful for separating Reg A+ from large Reg D amendments.", "default": 75000000 }, "days_back": { "title": "Days back from today", "minimum": 1, "maximum": 365, "type": "integer", "description": "Look-back window in days. Reg A filings are infrequent (a few hundred per quarter), so 90 days is the comfortable monitoring default. Use 30 for weekly watchlists or 365 for backtesting.", "default": 90 }, "max_filings": { "title": "Max filings to return", "minimum": 1, "maximum": 500, "type": "integer", "description": "Hard cap on filings pushed to the dataset. Each filing fans out to 1 primary XML fetch + 1 issuer submissions fetch (for ticker + Reg A qualification date enrichment). 100 covers most monitoring use cases; up to 500 for backtests.", "default": 100 } } }, "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 } } } } } } } } } } ```