# Funding Leads Report — Scored SEC Form D Raises (`nexgenwatch/funding-leads-report`) Actor - **URL**: https://apify.com/nexgenwatch/funding-leads-report.md - **Developed by:** [NexGen Watch](https://apify.com/nexgenwatch) (community) - **Categories:** Business, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10,050.00 / 1,000 scored funding-leads reports This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Funding Leads Report — Scored SEC Form D Raises **One report call surfaces the newly-funded companies in your sector, geography and deal-size window — scored and ranked — for less than the price of a coffee.** A VC associate or SDR building a prospecting list of freshly-raised companies otherwise reads the raw EDGAR Form D feed by hand, or pays **$100–500+/month** for a funding-intelligence subscription. This actor delivers the same weekly answer as a single, self-contained report: **$15.00 per report (FREE tier)** — run it once a week and a whole sector desk is covered for ~$60/month. It reads the official SEC EDGAR daily indexes, parses public **D / D/A** Form D XML as filed, filters to your window, and returns a **deterministically scored and ranked lead list** plus one rendered markdown brief you can paste straight into a prospecting doc. ### What you get - **`funding_lead` records** — one per qualifying raise, each with a 0–100 `lead_score`, a `HOT` / `WARM` / `COOL` grade, the score breakdown, and the buyer-relevant filing fields (issuer, state, sector, offering amount, amount sold, first-sale date, exemptions, source URL). - **One `leads_report` record** — the ranked digest: window, filters, lead and grade counts, score summary, the top leads, and a full **rendered markdown brief** (also written to the key-value store under `report_kv_key`). - **`source_receipt` records** — a per-filing-date run receipt (terminal state, canary, request counters). Always emitted, never billed. ### How leads are scored (transparent, no AI) Scoring is a fixed, deterministic rubric — `ngd-fundscore-v1`. Identical inputs always produce identical scores. No LLM, no external model, no "AI-powered" anything. - **Size (0–40)** — banded by total offering amount (bigger raise, bigger account). - **Recency (0–35)** — linear decay over a 90-day horizon from the filing date. - **Closure (0–25)** — traction signals: capital already sold, the sold-vs-offering ratio, and a very recent first sale (money just started moving) or a brand-new open raise. Leads are ranked by score, with deterministic tie-breaks (larger offering, then fresher filing, then accession number). ### Input (three caps keep every run bounded) - `lookbackDays` — how many days back to scan (cap 1). - `states`, `industryGroups`, `sectorKeywords`, `minRaiseUsd`, `maxRaiseUsd`, `includeYetToSell`, `filingTypes` — your sector / geography / deal-size window. - `maxFilingDates` (cap 2), `maxFilings`, `maxLeads` (cap 3). - `secUserAgent` — a descriptive User-Agent with a real contact (required by SEC fair-access). ### Billing Pay-per-event, listed price = charged price: - `apify-actor-start` — reserved system event, auto-charged by the platform. - **`leads_report`** — charged **exactly once**, only after the report is successfully built and pushed. An **empty window over a valid search** is a delivered report and **is** charged. A **source failure** (EDGAR blocked, shape drift, missing User-Agent) **fails loud and charges nothing**. ### Honest limits A Form D is an **issuer-filed notice** of an exempt offering — not proof the raise closed, of company quality, or of investor intent. Issuers sometimes omit amounts (`Indefinite` amounts become `null` and score 0 on size). The score is a prospecting heuristic, not investment advice. Public, logged-out EDGAR only; the actor self-throttles below SEC's rate ceiling and fails loud on EDGAR outages or fair-access controls — never a silent empty success. # Actor input Schema ## `lookbackDays` (type: `integer`): How many days back from today to scan EDGAR daily indexes for new Form D raises. Cap 1: bounds how far back the report reaches. ## `states` (type: `array`): Uppercase two-letter US state or SEC country codes (e.g. CA, NY, DE). Empty keeps all geographies. ## `industryGroups` (type: `array`): Exact Form D industry-group labels to keep (e.g. 'Technology', 'Pharmaceuticals', 'Commercial'). Empty keeps all sectors. Combine with sectorKeywords for looser matching. ## `sectorKeywords` (type: `array`): Case-insensitive substrings matched against the issuer-reported industry fields. Empty keeps all sectors. ## `minRaiseUsd` (type: `integer`): Keep only filings whose total offering amount is at least this. Indeterminate ('Indefinite') amounts are excluded when a minimum is set. Null disables. ## `maxRaiseUsd` (type: `integer`): Upper bound on total offering amount. Null disables. ## `filingTypes` (type: `array`): Form D filing types to include. ## `includeYetToSell` (type: `boolean`): Whether filings that have not yet reported a first sale qualify as leads. ## `maxFilingDates` (type: `integer`): Cap 2: maximum daily filing dates to process this run (most-recent first, within the lookback window). ## `maxFilings` (type: `integer`): Cap on matching D / D/A filings fetched from EDGAR this run. ## `maxLeads` (type: `integer`): Cap 3: maximum scored leads returned in the report (highest score first). ## `secUserAgent` (type: `string`): Descriptive User-Agent with a real contact, e.g. 'YourCo FundingLeads/1.0 you@example.org'. Required by SEC fair-access. Falls back to the SEC_USER_AGENT env var. ## Actor input object example ```json { "lookbackDays": 3, "states": [], "industryGroups": [], "sectorKeywords": [], "filingTypes": [ "D", "D/A" ], "includeYetToSell": true, "maxFilingDates": 3, "maxFilings": 120, "maxLeads": 30 } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "lookbackDays": 3, "maxFilingDates": 3, "maxFilings": 120, "maxLeads": 30 }; // Run the Actor and wait for it to finish const run = await client.actor("nexgenwatch/funding-leads-report").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 = { "lookbackDays": 3, "maxFilingDates": 3, "maxFilings": 120, "maxLeads": 30, } # Run the Actor and wait for it to finish run = client.actor("nexgenwatch/funding-leads-report").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 '{ "lookbackDays": 3, "maxFilingDates": 3, "maxFilings": 120, "maxLeads": 30 }' | apify call nexgenwatch/funding-leads-report --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nexgenwatch/funding-leads-report", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Funding Leads Report — Scored SEC Form D Raises", "version": "0.1", "x-build-id": "pOrf3Rr7VUaMWWd2c" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nexgenwatch~funding-leads-report/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nexgenwatch-funding-leads-report", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nexgenwatch~funding-leads-report/runs": { "post": { "operationId": "runs-sync-nexgenwatch-funding-leads-report", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nexgenwatch~funding-leads-report/run-sync": { "post": { "operationId": "run-sync-nexgenwatch-funding-leads-report", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "lookbackDays": { "title": "Lookback window (days)", "minimum": 1, "maximum": 90, "type": "integer", "description": "How many days back from today to scan EDGAR daily indexes for new Form D raises. Cap 1: bounds how far back the report reaches.", "default": 7 }, "states": { "title": "Issuer states / countries", "type": "array", "description": "Uppercase two-letter US state or SEC country codes (e.g. CA, NY, DE). Empty keeps all geographies.", "items": { "type": "string" }, "default": [] }, "industryGroups": { "title": "Sectors (exact Form D industry groups)", "type": "array", "description": "Exact Form D industry-group labels to keep (e.g. 'Technology', 'Pharmaceuticals', 'Commercial'). Empty keeps all sectors. Combine with sectorKeywords for looser matching.", "items": { "type": "string" }, "default": [] }, "sectorKeywords": { "title": "Sector keywords (match-any)", "type": "array", "description": "Case-insensitive substrings matched against the issuer-reported industry fields. Empty keeps all sectors.", "items": { "type": "string" }, "default": [] }, "minRaiseUsd": { "title": "Min raise size (USD)", "minimum": 0, "type": "integer", "description": "Keep only filings whose total offering amount is at least this. Indeterminate ('Indefinite') amounts are excluded when a minimum is set. Null disables." }, "maxRaiseUsd": { "title": "Max raise size (USD)", "minimum": 0, "type": "integer", "description": "Upper bound on total offering amount. Null disables." }, "filingTypes": { "title": "Filing types", "type": "array", "description": "Form D filing types to include.", "items": { "type": "string", "enum": [ "D", "D/A" ] }, "default": [ "D", "D/A" ] }, "includeYetToSell": { "title": "Include yet-to-sell offerings", "type": "boolean", "description": "Whether filings that have not yet reported a first sale qualify as leads.", "default": true }, "maxFilingDates": { "title": "Max filing dates", "minimum": 1, "maximum": 14, "type": "integer", "description": "Cap 2: maximum daily filing dates to process this run (most-recent first, within the lookback window).", "default": 7 }, "maxFilings": { "title": "Max filings fetched", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Cap on matching D / D/A filings fetched from EDGAR this run.", "default": 500 }, "maxLeads": { "title": "Max leads delivered", "minimum": 1, "maximum": 500, "type": "integer", "description": "Cap 3: maximum scored leads returned in the report (highest score first).", "default": 100 }, "secUserAgent": { "title": "SEC User-Agent (contact)", "type": "string", "description": "Descriptive User-Agent with a real contact, e.g. 'YourCo FundingLeads/1.0 you@example.org'. Required by SEC fair-access. Falls back to the SEC_USER_AGENT env var." } } }, "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 } } } } } } } } } } ```