# PEP Screening — OpenSanctions + Wikidata + National Registries (`jungle_synthesizer/pep-screening-scraper`) Actor PEP screening for AML/KYC. Streams 1.87M politically exposed persons from OpenSanctions (daily refresh), Wikidata, EU MEPs, US Congress, and UK Companies House PSC. FATF categories, family/RCA graph, three modes: ingest, fuzzy-match screening, new-PEPs diff. - **URL**: https://apify.com/jungle\_synthesizer/pep-screening-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Other - **Stats:** 3 total users, 1 monthly users, 92.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## PEP Screening Scraper — OpenSanctions + Wikidata + National Registries Streams politically exposed persons (PEPs) from [OpenSanctions](https://www.opensanctions.org), Wikidata, EU Parliament, US Congress, and UK Companies House. Returns structured FATF-categorized records for AML/KYC compliance workflows — up to 1.87M entities across five sources. --- ### PEP Screening Scraper Features - **Streams 1.87M PEP records** from OpenSanctions' daily-refreshed FTM NDJSON dataset — no API key required - **Assigns FATF categories** to every record: `head_of_state`, `minister`, `legislator`, `judiciary`, `military`, `diplomat`, `soe_executive`, `central_bank`, `family_member`, `close_associate` - **Includes Relatives and Close Associates (RCA)** per FATF Recommendation 12 — family members and business associates of PEPs, toggleable - **Fuzzy name matching** in `screen_queries` mode — Levenshtein-based 0-100 score against all name variants, aliases, and transliterations - **Three operating modes**: bulk ingest, fuzzy-match screening, and incremental diff since last run - **Multi-source coverage**: OpenSanctions, Wikidata SPARQL, EU MEPs XML feed, US Congress API (BYO key), UK Companies House PSC (BYO key) - **Country and category filters** — narrow to specific jurisdictions (ISO-3166-1 alpha-2) or FATF categories without streaming the full dataset - **new_peps_diff mode** — reads last-run timestamp from KV store, outputs only newly-added PEPs since that run, useful for daily monitoring pipelines --- ### What Can You Do With PEP Screening Data? - **Compliance teams** — run KYC due-diligence checks against the full FATF PEP universe before onboarding clients - **Risk screening platforms** — integrate the bulk ingest into a downstream PEP database, refreshed daily from OpenSanctions - **Fintech and neobanks** — automate screening at account-open time by querying the `screen_queries` mode against applicant names - **Investigative journalists** — identify officials' family members and close associates in the RCA graph for cross-referencing against business registries - **Sanctions screening vendors** — use `sanctions_overlap_id` to cross-reference PEPs who also appear on sanctions lists, already resolved against the sanctions-screening-scraper entity schema - **AML model teams** — use `new_peps_diff` mode to track newly-exposed politicians, feeding alerts into monitoring workflows without re-ingesting 1.87M records each run --- ### How PEP Screening Scraper Works 1. **Select your source and mode.** Choose one or more sources (`opensanctions`, `wikidata`, `eu_meps`, `us_congress`, `uk_psc`) and a mode. For bulk compliance data, use `ingest_lists`. For name-based screening, use `screen_queries`. For daily monitoring, use `new_peps_diff`. 2. **Apply filters.** Country codes, FATF categories, and the `currentOnly` toggle narrow the stream before any data hits the output. This keeps runs fast and datasets manageable. 3. **The scraper streams source data efficiently.** OpenSanctions is 921MB of NDJSON — processed line-by-line without loading into memory. EU MEPs XML is ~200KB and returns in seconds. US Congress and UK Companies House require free API keys and are skipped gracefully without them. 4. **Records are FATF-normalized on output.** Every entity gets `pep_category`, `pep_class`, and `is_current` fields derived from source topic tags — consistent across all five sources so you're not stitching together incompatible schemas. --- ### Input ```json { "mode": "ingest_lists", "sources": ["opensanctions"], "countries": ["US", "GB", "DE"], "pepCategories": ["head_of_state", "minister"], "currentOnly": false, "includeFamily": true, "maxItems": 1000, "sp_intended_usage": "AML onboarding screening", "sp_improvement_suggestions": "none" } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | string | `ingest_lists` | Operating mode: `ingest_lists`, `screen_queries`, or `new_peps_diff` | | `sources` | array | `["opensanctions"]` | Sources to pull from: `opensanctions`, `wikidata`, `eu_meps`, `us_congress`, `uk_psc`. Leave empty for all. | | `pepCategories` | array | — | FATF category filter. Empty = all categories. | | `countries` | array | — | ISO-3166-1 alpha-2 country codes. Filters by position country. | | `currentOnly` | boolean | `false` | Exclude PEPs whose position has ended. FATF recommends screening former PEPs for 12–18 months. | | `includeFamily` | boolean | `true` | Include Relatives and Close Associates (FATF Recommendation 12). | | `queries` | array | — | Names to fuzzy-match. Required for `screen_queries` mode. | | `minMatchScore` | integer | `75` | Minimum Levenshtein match score (0–100). 75 is a standard AML threshold. | | `usCongressApiKey` | string | — | Free key from api.congress.gov. Without it, falls back to OpenSanctions' `us_congress` dataset. | | `ukCompaniesHouseApiKey` | string | — | Free key from developer.company-information.service.gov.uk. Required for live PSC data. | | `maxItems` | integer | `10` | Maximum records to return. Set to 0 for unlimited (full ingest). | **Screen queries example:** ```json { "mode": "screen_queries", "sources": ["opensanctions", "eu_meps"], "queries": ["Emmanuel Macron", "Angela Merkel", "Viktor Orbán"], "minMatchScore": 70, "maxItems": 50, "sp_intended_usage": "KYC name screening", "sp_improvement_suggestions": "none" } ``` **Incremental diff example:** ```json { "mode": "new_peps_diff", "sources": ["opensanctions"], "maxItems": 0, "sp_intended_usage": "Daily new-PEP monitoring", "sp_improvement_suggestions": "none" } ``` *** ### PEP Screening Scraper Output Fields #### ingest\_lists and new\_peps\_diff Output ```json { "entity_id": "NK-A7Bq3Rx9mVwXt2ZLp4nYs", "source": "opensanctions", "source_id": "NK-A7Bq3Rx9mVwXt2ZLp4nYs", "source_url": "https://www.opensanctions.org/entities/NK-A7Bq3Rx9mVwXt2ZLp4nYs/", "primary_name": "Emmanuel Macron", "alias_names": "Macron, Emmanuel Jean-Michel Frédéric Macron", "nationalities": "FR", "date_of_birth": "1977-12-21", "place_of_birth": "Amiens, France", "gender": "male", "pep_category": "head_of_state", "pep_class": "PEP", "position_title": "President of the Republic", "position_country": "FR", "position_organization": "French Republic", "position_start_date": "2017-05-14", "position_end_date": null, "is_current": true, "sources_count": 3, "related_persons": "spouse:NK-Bq4Xt9ZLp2|parent:NK-Cx8mVwXt", "related_organizations": "La République En Marche|Élysée Palace", "declared_assets": null, "sanctions_overlap_id": null, "last_modified_date": "2025-01-15T00:00:00Z", "query_term": null, "match_score": null, "match_fields": null, "match_reason": null } ``` | Field | Type | Description | |-------|------|-------------| | `entity_id` | string | Canonical PEP identifier (OpenSanctions NK-ID or generated) | | `source` | string | Data source: `opensanctions`, `wikidata`, `eu_meps`, `us_congress`, `uk_psc` | | `source_id` | string | Source-native entity ID | | `source_url` | string | Canonical URL for this entity at the source | | `primary_name` | string | Primary full name | | `alias_names` | string | Pipe-separated aliases and alternative names | | `nationalities` | string | Comma-separated ISO-3166-1 alpha-2 country codes | | `date_of_birth` | string | Date of birth (YYYY-MM-DD or partial) | | `place_of_birth` | string | Place of birth as free text | | `gender` | string | `male`, `female`, or `other` | | `pep_category` | string | FATF category: `head_of_state`, `minister`, `legislator`, `judiciary`, `military`, `diplomat`, `soe_executive`, `central_bank`, `family_member`, `close_associate` | | `pep_class` | string | FATF class: `PEP`, `RCA`, `Family`, or `Associate` | | `position_title` | string | Official position or job title | | `position_country` | string | ISO-3166-1 alpha-2 country of the position | | `position_organization` | string | Organization or institution | | `position_start_date` | string | Start date of position (YYYY-MM-DD) | | `position_end_date` | string | End date of position, null if currently held | | `is_current` | boolean | True if position is currently held | | `sources_count` | integer | Number of independent sources confirming this entity | | `related_persons` | string | Pipe-separated related persons with relationship type | | `related_organizations` | string | Pipe-separated related organizations | | `declared_assets` | string | Pipe-separated declared assets (US OGE, EU MEP disclosures) | | `sanctions_overlap_id` | string | Cross-reference to sanctions-screening-scraper entity if this PEP also appears on sanctions lists | | `last_modified_date` | string | Date source record was last modified (ISO 8601) | | `query_term` | string | Search query that matched this record (`screen_queries` mode only) | | `match_score` | number | Fuzzy match score 0–100 (`screen_queries` mode only) | | `match_fields` | string | Pipe-separated fields that contributed to the match | | `match_reason` | string | Human-readable match explanation | #### screen\_queries Output Same schema. `query_term`, `match_score`, `match_fields`, and `match_reason` are populated. Every returned record exceeded the configured `minMatchScore` threshold. ```json { "entity_id": "NK-A7Bq3Rx9mVwXt2ZLp4nYs", "source": "opensanctions", "primary_name": "Emmanuel Macron", "alias_names": "Macron, E. Macron", "pep_category": "head_of_state", "pep_class": "PEP", "position_title": "President of the Republic", "position_country": "FR", "is_current": true, "query_term": "Emmanuel Macron", "match_score": 100, "match_fields": "primary_name", "match_reason": "Exact match on primary name" } ``` *** ### 🔍 FAQ #### How do I screen names against the PEP database? PEP Screening Scraper handles this in `screen_queries` mode. Provide a `queries` list and a `minMatchScore` (75 is standard for AML). The scraper runs Levenshtein fuzzy matching against all name variants in the source data, including aliases, transliterations, and maiden names. #### Does this require API keys? OpenSanctions, Wikidata, and EU MEPs work with no API key. US Congress and UK Companies House are optional — provide your own free key from api.congress.gov or developer.company-information.service.gov.uk, or skip them and rely on OpenSanctions' daily-refreshed snapshots of the same data. #### How current is the PEP data? OpenSanctions refreshes daily. EU MEP data updates from the official XML feed. Wikidata is community-maintained and typically current to within weeks. Run `new_peps_diff` mode on a daily schedule to receive only newly-added PEPs since your last run — the scraper tracks its own timestamp in Apify's key-value store. #### What FATF categories are covered? PEP Screening Scraper covers all ten FATF Recommendation 12 categories: `head_of_state`, `minister`, `legislator`, `judiciary`, `military`, `diplomat`, `soe_executive`, `central_bank`, `family_member`, and `close_associate`. Every record gets a `pep_class` field (`PEP`, `RCA`, `Family`, or `Associate`) for downstream filtering. #### Can I limit to current office-holders only? Set `currentOnly: true`. Note that FATF Recommendation 12 explicitly advises screening former PEPs for 12–18 months after leaving office. Leaving it at the default (`false`) is the more conservative AML posture. *** ### Need More Features? Need additional sources, custom match scoring, or integration with your sanctions database? [File an issue](https://console.apify.com/actors/issues) or get in touch. ### Why Use PEP Screening Scraper? - **No vendor lock-in** — OpenSanctions is open-licensed FATF-quality data, updated daily, no subscription required. Most commercial PEP databases charge four-figure annual fees for the same underlying sources. - **FATF-normalized output** — every record gets consistent `pep_category` and `pep_class` fields regardless of source, so your downstream pipeline doesn't need per-source parsing logic. - **Scales from screening to bulk** — point it at five names or stream 1.87M records. Same actor, same schema, same output format. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `mode` (type: `string`): No description ## `sources` (type: `array`): Subset of: opensanctions, wikidata, eu\_meps, us\_congress, uk\_psc. Leave empty for all sources. ## `pepCategories` (type: `array`): Filter by category: head\_of\_state, minister, legislator, judiciary, military, diplomat, soe\_executive, central\_bank, family\_member, close\_associate. Leave empty for all. ## `countries` (type: `array`): Limit to PEPs holding office in these countries, e.g. US, GB, DE. Leave empty for all countries. ## `currentOnly` (type: `boolean`): Exclude PEPs whose office has ended. Note: FATF recommends screening former PEPs for 12-18 months. ## `includeFamily` (type: `boolean`): Include Relatives and Close Associates per FATF Recommendation 12. ## `queries` (type: `array`): List of names to fuzzy-match against the PEP database. ## `minMatchScore` (type: `integer`): Minimum Levenshtein-based match score (0-100). 75 is a good AML/KYC threshold. ## `usCongressApiKey` (type: `string`): Free key from api.congress.gov. Leave empty to use OpenSanctions us\_congress dataset instead. ## `ukCompaniesHouseApiKey` (type: `string`): Free key from developer.company-information.service.gov.uk. Required for live PSC data. ## `maxItems` (type: `integer`): Maximum PEP records to return. Set to 0 for no limit (full ingest). ## `proxyConfiguration` (type: `object`): No description ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "ingest_lists", "sources": [ "opensanctions" ], "includeFamily": true, "minMatchScore": 75, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "ingest_lists", "sources": [ "opensanctions" ], "currentOnly": false, "includeFamily": true, "minMatchScore": 75, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/pep-screening-scraper").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "ingest_lists", "sources": ["opensanctions"], "currentOnly": False, "includeFamily": True, "minMatchScore": 75, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/pep-screening-scraper").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "mode": "ingest_lists", "sources": [ "opensanctions" ], "currentOnly": false, "includeFamily": true, "minMatchScore": 75, "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } }' | apify call jungle_synthesizer/pep-screening-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/pep-screening-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "PEP Screening — OpenSanctions + Wikidata + National Registries", "description": "PEP screening for AML/KYC. Streams 1.87M politically exposed persons from OpenSanctions (daily refresh), Wikidata, EU MEPs, US Congress, and UK Companies House PSC. FATF categories, family/RCA graph, three modes: ingest, fuzzy-match screening, new-PEPs diff.", "version": "1.0", "x-build-id": "jYfC9HXgyqylldbY9" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~pep-screening-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-pep-screening-scraper", "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/jungle_synthesizer~pep-screening-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-pep-screening-scraper", "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/jungle_synthesizer~pep-screening-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-pep-screening-scraper", "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": [ "sp_intended_usage", "sp_improvement_suggestions" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "mode": { "title": "Mode", "enum": [ "ingest_lists", "screen_queries", "new_peps_diff" ], "type": "string", "description": "" }, "sources": { "title": "Sources to Include", "type": "array", "description": "Subset of: opensanctions, wikidata, eu_meps, us_congress, uk_psc. Leave empty for all sources.", "items": { "type": "string" } }, "pepCategories": { "title": "PEP Categories", "type": "array", "description": "Filter by category: head_of_state, minister, legislator, judiciary, military, diplomat, soe_executive, central_bank, family_member, close_associate. Leave empty for all.", "items": { "type": "string" } }, "countries": { "title": "Country Filter (ISO-3166-1 alpha-2)", "type": "array", "description": "Limit to PEPs holding office in these countries, e.g. US, GB, DE. Leave empty for all countries.", "items": { "type": "string" } }, "currentOnly": { "title": "Current Positions Only", "type": "boolean", "description": "Exclude PEPs whose office has ended. Note: FATF recommends screening former PEPs for 12-18 months." }, "includeFamily": { "title": "Include Family & Close Associates (RCA)", "type": "boolean", "description": "Include Relatives and Close Associates per FATF Recommendation 12." }, "queries": { "title": "Names to Screen (screen_queries mode)", "type": "array", "description": "List of names to fuzzy-match against the PEP database.", "items": { "type": "string" } }, "minMatchScore": { "title": "Min Fuzzy Match Score", "type": "integer", "description": "Minimum Levenshtein-based match score (0-100). 75 is a good AML/KYC threshold." }, "usCongressApiKey": { "title": "US Congress API Key (optional)", "type": "string", "description": "Free key from api.congress.gov. Leave empty to use OpenSanctions us_congress dataset instead." }, "ukCompaniesHouseApiKey": { "title": "UK Companies House API Key (optional)", "type": "string", "description": "Free key from developer.company-information.service.gov.uk. Required for live PSC data." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum PEP records to return. Set to 0 for no limit (full ingest)." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "" } } }, "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 } } } } } } } } } } ```