# Federal Audit Clearinghouse - Audit & Compliance (`pink_comic/federal-audit-clearinghouse-single-audit-data`) Actor Search Federal Audit Clearinghouse single audit filings. Returns grantee, federal expenditures, audit findings, and compliance status. Built for grant compliance and due diligence teams. Pay per result. - **URL**: https://apify.com/pink\_comic/federal-audit-clearinghouse-single-audit-data.md - **Developed by:** [Ava Torres](https://apify.com/pink_comic) (community) - **Categories:** Lead generation, Automation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results 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 ## Federal Audit Clearinghouse - Single Audit Data & Compliance Reports Search the **Federal Audit Clearinghouse (FAC)** database for government single audit records. The FAC is the official U.S. repository for single audits submitted under the Single Audit Act and 2 CFR Part 200 — required for any non-federal entity that expends $750,000 or more in federal awards in a fiscal year. ### What you get Each result includes: - **Organization name, EIN, UEI, city, state, ZIP** - **Audit year and fiscal year end date** - **Total federal awards expended** (USD) - **Entity type** (non-profit, local government, state, tribal, etc.) - **Going concern disclosure** flag - **Material noncompliance disclosure** flag - **Cognizant / oversight agency** code - **Auditing firm name and state** - **FAC acceptance date** ### Use cases - **Compliance research:** Identify organizations with going concern or material noncompliance flags - **Grant due diligence:** Verify audit history and expenditure levels for grant applicants or partners - **Vendor / partner screening:** Check whether an organization has been audited and whether issues were found - **Market research:** Find non-profits, local governments, and tribal entities by state and size - **Procurement research:** Identify large federal grant recipients in a state or sector ### Input | Field | Type | Description | |-------|------|-------------| | `auditeeState` | string | 2-letter state code (e.g. `CA`, `TX`) | | `auditYear` | integer | Fiscal audit year (e.g. `2024`) | | `auditeeName` | string | Partial organization name search (e.g. `UNIVERSITY`) | | `entityType` | string | Entity type filter (e.g. `non-profit`, `local`, `state`, `tribal`) | | `maxResults` | integer | Max records to return (default 100, max 10000) | All fields are optional. With no filters, returns the most recent records. ### Output example ```json { "reportId": "2024-01-GSAFAC-0000038847", "auditYear": 2024, "auditeeName": "MALONE COMMUNITY CENTER HOUSING CORPORATION", "auditeeEin": "953924425", "auditeeUei": "H11KKSJZ1CM6", "auditeeState": "CA", "auditeeCity": "Long Beach", "auditeeZip": "90815", "auditorFirmName": "DAUBY O'CONNOR & ZALESKI, LLC", "auditorState": "IN", "totalAmountExpended": 2544346, "numberOfFindings": 0, "auditType": "single-audit", "entityType": "non-profit", "facAcceptedDate": "2024-05-06", "fyEndDate": "2024-01-31", "isGoingConcern": false, "isMaterialNoncompliance": false, "cogOrOver": "14" } ```` ### Data source Uses the official [Federal Audit Clearinghouse API](https://api.fac.gov) — free, no registration required. Data covers audits from 2016 onward. # Actor input Schema ## `auditeeState` (type: `string`): 2-letter state code to filter by auditee location (e.g. "CA", "TX", "NY"). ## `auditYear` (type: `integer`): Filter by fiscal audit year (e.g. 2024). ## `auditeeName` (type: `string`): Partial name search for the auditee organization (e.g. "UNIVERSITY"). ## `entityType` (type: `string`): Filter by entity type (e.g. "non-profit", "local", "state", "tribal"). ## `maxResults` (type: `integer`): Maximum number of audit records to return. ## Actor input object example ```json { "auditeeState": "CA", "auditYear": 2024, "auditeeName": "", "entityType": "", "maxResults": 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 = { "auditeeState": "CA", "auditYear": 2024, "auditeeName": "", "entityType": "", "maxResults": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("pink_comic/federal-audit-clearinghouse-single-audit-data").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 = { "auditeeState": "CA", "auditYear": 2024, "auditeeName": "", "entityType": "", "maxResults": 100, } # Run the Actor and wait for it to finish run = client.actor("pink_comic/federal-audit-clearinghouse-single-audit-data").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 '{ "auditeeState": "CA", "auditYear": 2024, "auditeeName": "", "entityType": "", "maxResults": 100 }' | apify call pink_comic/federal-audit-clearinghouse-single-audit-data --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pink_comic/federal-audit-clearinghouse-single-audit-data", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Federal Audit Clearinghouse - Audit & Compliance", "description": "Search Federal Audit Clearinghouse single audit filings. Returns grantee, federal expenditures, audit findings, and compliance status. Built for grant compliance and due diligence teams. Pay per result.", "version": "0.1", "x-build-id": "qQU81GUI7W3dIpJlF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pink_comic~federal-audit-clearinghouse-single-audit-data/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pink_comic-federal-audit-clearinghouse-single-audit-data", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/pink_comic~federal-audit-clearinghouse-single-audit-data/runs": { "post": { "operationId": "runs-sync-pink_comic-federal-audit-clearinghouse-single-audit-data", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/pink_comic~federal-audit-clearinghouse-single-audit-data/run-sync": { "post": { "operationId": "run-sync-pink_comic-federal-audit-clearinghouse-single-audit-data", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "auditeeState": { "title": "Auditee State", "type": "string", "description": "2-letter state code to filter by auditee location (e.g. \"CA\", \"TX\", \"NY\").", "default": "CA" }, "auditYear": { "title": "Audit Year", "minimum": 2016, "type": "integer", "description": "Filter by fiscal audit year (e.g. 2024).", "default": 2024 }, "auditeeName": { "title": "Auditee Name", "type": "string", "description": "Partial name search for the auditee organization (e.g. \"UNIVERSITY\").", "default": "" }, "entityType": { "title": "Entity Type", "type": "string", "description": "Filter by entity type (e.g. \"non-profit\", \"local\", \"state\", \"tribal\").", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of audit records to return.", "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 } } } } } } } } } } ```