IPO Tracker β Upcoming & Priced US IPOs API
Pricing
from $100.00 / 1,000 ipo records
Track upcoming and priced US IPOs from SEC EDGAR β parsed, source-linked JSON for analysts, funds and AI agents.
You can access the IPO Tracker β Upcoming & Priced US IPOs API programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, youβll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "hebcsWa0ZYocCgIgS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgendata~ipo-tracker/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgendata-ipo-tracker", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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~ipo-tracker/runs": { "post": { "operationId": "runs-sync-nexgendata-ipo-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~ipo-tracker/run-sync": { "post": { "operationId": "run-sync-nexgendata-ipo-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": { "limit": { "title": "Number of IPO records to return", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Maximum number of IPO records to return. Set to 0 to return all matching IPOs (typically 250+ across recent + upcoming + filings). Useful for testing smaller batches before running a full pull.", "default": 50 }, "status": { "title": "IPO status filter", "enum": [ "all", "upcoming", "priced", "trading", "filing" ], "type": "string", "description": "Filter by IPO lifecycle status. 'upcoming' = priced/scheduled IPOs not yet trading; 'priced' = recently priced including same-day pricing; 'trading' = already-trading recent IPOs (last 6 months) with post-IPO performance; 'filing' = newly filed S-1 / F-1 registration statements (pre-roadshow); 'all' = every status.", "default": "all" }, "date_range": { "title": "Date range filter", "enum": [ "all", "last_30d", "last_90d", "last_180d", "upcoming" ], "type": "string", "description": "Filter by IPO date range. 'last_30d' = IPOs that priced in the last 30 calendar days; 'last_90d' = last 90 days; 'last_180d' = last 180 days (full lockup window); 'upcoming' = scheduled future IPOs only; 'all' = no date filter.", "default": "all" }, "min_proceeds_usd": { "title": "Minimum proceeds raised (USD)", "minimum": 0, "maximum": 100000000000, "type": "integer", "description": "Minimum total deal size (proceeds raised) in USD. Use 100000000 ($100M) to filter for institutional-size IPOs. Use 1000000000 ($1B) to filter for mega IPOs only. Set to 0 to include all sizes including micro-cap and SPAC deals.", "default": 0 }, "exchange": { "title": "Listing exchange filter", "enum": [ "all", "NYSE", "NASDAQ", "AMEX", "OTC" ], "type": "string", "description": "Filter by US listing exchange. NYSE includes large operational IPOs (Reddit, Birkenstock-tier). NASDAQ includes tech and biotech IPOs (most SPAC and biotech debuts). 'all' returns both exchanges and any AMEX / OTC listings.", "default": "all" }, "sector": { "title": "Sector filter", "enum": [ "all", "Technology", "Healthcare", "Financial Services", "Consumer Discretionary", "Consumer Staples", "Industrials", "Energy", "Real Estate", "Communication Services", "Utilities", "Materials" ], "type": "string", "description": "Filter by GICS-style sector. 'all' returns everything. IPO sectors skew heavily Technology and Healthcare (biotech). Useful for sector-rotation IPO strategies and theme-focused IPO arb desks.", "default": "all" }, "exclude_spacs": { "title": "Exclude SPACs / blank-check companies", "type": "boolean", "description": "If true, filters out Special Purpose Acquisition Companies (SPACs) β recognized by 'Acquisition Corp', 'Capital Acquisition', etc. in the company name. SPACs typically price at exactly $10 and add noise to operational IPO analytics.", "default": false } } }, "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 IPO Tracker β Upcoming & Priced US IPOs API 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: