# UK FCA Enforcement Notice Tracker — Notices API (`nexgendata/uk-fca-enforcement-tracker`) Actor Live UK Financial Conduct Authority enforcement notice feed: Final, Decision, Supervisory, and Warning Notices direct from fca.org.uk. Firm/individual, FRN, fine amount (GBP), date, regulatory basis (FSMA / PRIN / DTR / COBS), and notice URL. - **URL**: https://apify.com/nexgendata/uk-fca-enforcement-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 $200.00 / 1,000 fca enforcement 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.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 ## UK FCA Enforcement Notice Tracker Track UK FCA enforcement notices — firms/individuals, action type, fines and regulatory basis. The notices lane. > Factual public records — not financial, investment or compliance advice. Screening data is provided as-is for your own compliance program. ### ⏰ Run this as a monitoring subscription (recommended) Regulatory data is monitoring data. Schedule a weekly sweep (`0 8 * * 1`) and catch new notices as they post — an always-on official-records feed. ### 📊 What you get Clean JSON, one record per notice (full output has 10 fields): - `action_id` — Action id - `firm_or_individual` — Firm or individual - `action_type` — Action type - `date_of_notice` — Date of notice - `fine_amount_gbp` — Fine amount gbp - `penalty_currency` — Penalty currency - `regulatory_basis` — Regulatory basis - `short_summary` — Short summary - `full_notice_url` — Full notice url - `data_source` — Data source **Pricing:** $0.200 per notice (Pay-Per-Event) — about **5 notices per $1**. ### 🤖 Use with AI agents Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and pull official records on demand. **Agentic payments (x402):** Supports agentic payment via x402 — agents can call this actor with USDC, no API key required. ### 🔗 Related regulatory actors **Regulatory & enforcement records:** [US Legislation](https://apify.com/nexgendata/us-legislation-bill-tracker) · [UK FCA Register](https://apify.com/nexgendata/uk-fca-enforcement-register) · [EPA ECHO](https://apify.com/nexgendata/epa-echo-enforcement-scraper) · [EPA TRI](https://apify.com/nexgendata/epa-tri-toxic-release-facilities) · [FEMA NFIP](https://apify.com/nexgendata/openfema-nfip-flood-claims) · [CFPB Complaints](https://apify.com/nexgendata/cfpb-consumer-complaints-scraper) · [CFPB HMDA](https://apify.com/nexgendata/cfpb-hmda-mortgage-lender-disparity-tracker) **Related:** [SAM.gov Exclusions](https://apify.com/nexgendata/sam-gov-federal-contractor-exclusions) --- *Public official records and enforcement data, assembled for research and monitoring.* # Actor input Schema ## `action_type` (type: `string`): Filter FCA enforcement notices by type. 'ALL' returns every notice type. 'FINAL_NOTICE' = Final Notices (concluded enforcement actions — fines, prohibitions, cancellations). 'DECISION_NOTICE' = Decision Notices (FCA's decided sanction, may be referred to the Upper Tribunal). 'SUPERVISORY_NOTICE' = Supervisory Notices (immediate restrictions on permissions, often pre-Final-Notice). 'WARNING_NOTICE' = Warning Notices / Warning Notice Statements (FCA's intended action, opens representations window). ## `date_from` (type: `string`): Lower bound on the date the FCA notice was issued (ISO YYYY-MM-DD). Leave empty for no lower bound. Default behaviour is the last 30 days when neither date_from nor date_to is supplied. ## `date_to` (type: `string`): Upper bound on the date the FCA notice was issued (ISO YYYY-MM-DD). Pair with date_from to build a quarterly enforcement report or a 60-day trend window. Leave empty for no upper bound. ## `firm_or_individual` (type: `string`): Case-insensitive substring match against the firm or individual name as it appears in the FCA notice. Use for counterparty monitoring (e.g. 'Barclays', 'HSBC', 'Revolut') or fit-and-proper screening of a named individual against the FCA enforcement record. Leave empty to skip. ## `maxResults` (type: `integer`): Hard cap on enforcement notices returned in this run (1-500). Each notice is one dataset row and is billed at the per-enforcement-record price. Start small (10-25) to scope your sweep, scale up for back-population runs. ## Actor input object example ```json { "action_type": "ALL", "maxResults": 25 } ```` # 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 = { "action_type": "ALL", "date_from": "", "date_to": "", "firm_or_individual": "", "maxResults": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/uk-fca-enforcement-tracker").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "action_type": "ALL", "date_from": "", "date_to": "", "firm_or_individual": "", "maxResults": 25, } # Run the Actor and wait for it to finish run = client.actor("nexgendata/uk-fca-enforcement-tracker").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "action_type": "ALL", "date_from": "", "date_to": "", "firm_or_individual": "", "maxResults": 25 }' | apify call nexgendata/uk-fca-enforcement-tracker --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgendata/uk-fca-enforcement-tracker", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "UK FCA Enforcement Notice Tracker — Notices API", "description": "Live UK Financial Conduct Authority enforcement notice feed: Final, Decision, Supervisory, and Warning Notices direct from fca.org.uk. Firm/individual, FRN, fine amount (GBP), date, regulatory basis (FSMA / PRIN / DTR / COBS), and notice URL.", "version": "0.0", "x-build-id": "GbxPooSEJnft5nq1t" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~uk-fca-enforcement-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-uk-fca-enforcement-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgendata~uk-fca-enforcement-tracker/runs": { "post": { "operationId": "runs-sync-nexgendata-uk-fca-enforcement-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgendata~uk-fca-enforcement-tracker/run-sync": { "post": { "operationId": "run-sync-nexgendata-uk-fca-enforcement-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "action_type": { "title": "Notice type filter", "enum": [ "ALL", "FINAL_NOTICE", "DECISION_NOTICE", "SUPERVISORY_NOTICE", "WARNING_NOTICE" ], "type": "string", "description": "Filter FCA enforcement notices by type. 'ALL' returns every notice type. 'FINAL_NOTICE' = Final Notices (concluded enforcement actions — fines, prohibitions, cancellations). 'DECISION_NOTICE' = Decision Notices (FCA's decided sanction, may be referred to the Upper Tribunal). 'SUPERVISORY_NOTICE' = Supervisory Notices (immediate restrictions on permissions, often pre-Final-Notice). 'WARNING_NOTICE' = Warning Notices / Warning Notice Statements (FCA's intended action, opens representations window).", "default": "ALL" }, "date_from": { "title": "Date of notice — from (YYYY-MM-DD)", "type": "string", "description": "Lower bound on the date the FCA notice was issued (ISO YYYY-MM-DD). Leave empty for no lower bound. Default behaviour is the last 30 days when neither date_from nor date_to is supplied." }, "date_to": { "title": "Date of notice — to (YYYY-MM-DD)", "type": "string", "description": "Upper bound on the date the FCA notice was issued (ISO YYYY-MM-DD). Pair with date_from to build a quarterly enforcement report or a 60-day trend window. Leave empty for no upper bound." }, "firm_or_individual": { "title": "Firm or individual name filter", "type": "string", "description": "Case-insensitive substring match against the firm or individual name as it appears in the FCA notice. Use for counterparty monitoring (e.g. 'Barclays', 'HSBC', 'Revolut') or fit-and-proper screening of a named individual against the FCA enforcement record. Leave empty to skip." }, "maxResults": { "title": "Max enforcement notices returned", "minimum": 1, "maximum": 500, "type": "integer", "description": "Hard cap on enforcement notices returned in this run (1-500). Each notice is one dataset row and is billed at the per-enforcement-record price. Start small (10-25) to scope your sweep, scale up for back-population runs.", "default": 50 } } }, "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 } } } } } } } } } } ```