Alternative Data Signal Aggregator
Pricing
Pay per event
Alternative Data Signal Aggregator
Turn public news, hiring, and SEC filing data into one auditable company research indicator with evidence and cross-run hiring deltas.
Alternative Data Signal Aggregator
Pricing
Pay per event
Turn public news, hiring, and SEC filing data into one auditable company research indicator with evidence and cross-run hiring deltas.
You can access the Alternative Data Signal Aggregator programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in Integrations settings in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.1", "x-build-id": "jvUY32h6LFsrB2xGK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/automation-lab~alternative-data-signal-aggregator/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-automation-lab-alternative-data-signal-aggregator", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/automation-lab~alternative-data-signal-aggregator/runs": { "post": { "operationId": "runs-sync-automation-lab-alternative-data-signal-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/automation-lab~alternative-data-signal-aggregator/run-sync": { "post": { "operationId": "run-sync-automation-lab-alternative-data-signal-aggregator", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "companies" ], "properties": { "companies": { "title": "π’ Company watchlist", "minItems": 1, "maxItems": 25, "type": "array", "description": "US-listed companies to analyze. Each company needs its ticker, display name, and public Greenhouse board token (the segment after boards.greenhouse.io/).", "items": { "type": "object", "required": [ "ticker", "companyName", "greenhouseBoardToken" ], "properties": { "ticker": { "title": "Ticker", "type": "string", "description": "US stock ticker resolved through the SEC company ticker file." }, "companyName": { "title": "Company name", "type": "string", "description": "Name used in the Google News query." }, "greenhouseBoardToken": { "title": "Greenhouse board token", "type": "string", "description": "Public board token, for example cloudflare from boards.greenhouse.io/cloudflare." } } } }, "lookbackDays": { "title": "News lookback (days)", "minimum": 1, "maximum": 30, "type": "integer", "description": "Count and score headlines published in this recent window.", "default": 7 }, "maxNewsArticles": { "title": "Maximum headlines per company", "minimum": 1, "maximum": 100, "type": "integer", "description": "Bound the headlines used for each company score.", "default": 50 }, "maxEvidenceItems": { "title": "Evidence rows per source", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum sample headline and job URLs retained inside each company signal.", "default": 8 }, "weights": { "title": "Component weights", "type": "object", "description": "Relative non-negative weights. Values are normalized automatically.", "properties": { "news": { "title": "News", "description": "Relative weight for headline sentiment and velocity.", "type": "number", "minimum": 0, "default": 0.4 }, "hiring": { "title": "Hiring", "description": "Relative weight for cross-run job-opening changes.", "type": "number", "minimum": 0, "default": 0.35 }, "fundamentals": { "title": "Fundamentals", "description": "Relative weight for filing-backed annual changes.", "type": "number", "minimum": 0, "default": 0.25 } } }, "snapshotStoreName": { "title": "Snapshot store name", "type": "string", "description": "Named key-value store used to compare hiring and news counts across scheduled runs.", "default": "alternative-data-signal-snapshots" }, "snapshotNamespace": { "title": "Snapshot namespace", "type": "string", "description": "Use a stable unique namespace for each watchlist or client to prevent histories from overlapping.", "default": "default" }, "secUserAgent": { "title": "SEC User-Agent", "type": "string", "description": "Descriptive SEC request User-Agent. Include an application name and contact email for production use.", "default": "AlternativeDataSignalAggregator/0.1 contact@automation-lab.com" } } }, "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 } } } } } } } } }}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 Alternative Data Signal Aggregator from the options below:
If youβd like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: