HK SFC Enforcement — 證監會執法 API
Pricing
from $100.00 / 1,000 enforcement events
HK SFC Enforcement — 證監會執法 API
Track Hong Kong SFC enforcement actions (public records). Clean JSON for analysts and AI agents.
HK SFC Enforcement — 證監會執法 API
Pricing
from $100.00 / 1,000 enforcement events
Track Hong Kong SFC enforcement actions (public records). Clean JSON for analysts and AI agents.
You can access the HK SFC Enforcement — 證監會執法 API programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "7m7tsFGoxnbS80Ubh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~hk-sfc-enforcement-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-hk-sfc-enforcement-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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~hk-sfc-enforcement-tracker/runs": { "post": { "operationId": "runs-sync-nexgendata-hk-sfc-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~hk-sfc-enforcement-tracker/run-sync": { "post": { "operationId": "run-sync-nexgendata-hk-sfc-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": "Action type", "enum": [ "ALL", "DISCIPLINARY", "PROSECUTION", "PENALTY", "RESTRICTION" ], "type": "string", "description": "Filter SFC enforcement disclosures by action category. 'ALL' returns everything. 'DISCIPLINARY' = SFC disciplinary actions (reprimand, fine, suspension, revocation) against licensed corporations or representatives under the SFO. 'PROSECUTION' = criminal prosecutions brought by the SFC (market manipulation, insider dealing, unlicensed activity). 'PENALTY' = monetary penalties / fines published in enforcement news. 'RESTRICTION' = cold-shoulder orders, disqualification orders, suspension of dealings, restriction notices.", "default": "ALL" }, "party_type": { "title": "Party type", "enum": [ "ALL", "INDIVIDUAL", "FIRM" ], "type": "string", "description": "Filter by sanctioned party type. 'ALL' returns everything. 'INDIVIDUAL' covers responsible officers, licensed representatives, directors and other natural persons. 'FIRM' covers licensed corporations, brokerages, asset managers, and corporate entities.", "default": "ALL" }, "decision_date_from": { "title": "Decision date — from (YYYY-MM-DD)", "type": "string", "description": "Lower bound on the SFC decision / publication date in ISO format (YYYY-MM-DD). Combine with decision_date_to to build a quarterly compliance report or a 90-day enforcement-trend window. Leave empty for no lower bound." }, "decision_date_to": { "title": "Decision date — to (YYYY-MM-DD)", "type": "string", "description": "Upper bound on the SFC decision / publication date in ISO format (YYYY-MM-DD). Pair with decision_date_from to bound the enforcement window. Leave empty for no upper bound." }, "keyword": { "title": "Keyword filter (party name or breach text)", "type": "string", "description": "Optional case-insensitive keyword filter applied across the party name, the breach summary, and the regulatory basis. Use to surface enforcement actions tied to a specific firm, scheme type (e.g. 'insider dealing', 'market manipulation', 'AML', 'short selling'), or breached Ordinance section (e.g. 'SFO s.300')." }, "limit": { "title": "Max enforcement events returned", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Hard cap on total events returned in this run (1-2000). Each enforcement event is one dataset row. Premium pricing applies per row.", "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 }, "PROXY_UNBLOCKER_UNITS": { "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 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for HK SFC Enforcement — 證監會執法 API from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: