Forem: grantleydev

Filed Intelligence Hub — AI-Powered Corporate Due Diligence with MCP

grantleydev — Fri, 20 Mar 2026 04:08:34 +0000

This is a submission for the Notion MCP Challenge

What I Built

A system that turns a single prompt into a structured corporate intelligence workspace — using two MCP servers to bridge government data sources and Notion.

The problem: Investigating a company's compliance posture means manually checking state business registries, SEC filings, federal contracts, and lobbying disclosures. Each source has a different interface, different data formats, and no cross-referencing. A thorough review of one company across these sources takes a human analyst hours. Three companies? Days.

The solution: Filed MCP Server provides 6 tools covering 9 US state business registries and 3 federal data sources. Notion MCP Server provides the structured workspace. One natural language prompt triggers a multi-source investigation and populates a Notion hub with cross-referenced findings.

I demonstrated this by investigating three defense contractors — Lockheed Martin, Anduril Industries, and Palantir Technologies. In 37 autonomous AI turns ($0.91 API cost), the system:

Searched all three companies across 9 state databases, SEC EDGAR, USASpending, and Senate lobbying records
Created and populated two Notion databases (Companies + Intelligence Findings)
Surfaced 13 actionable intelligence findings — including 3 Critical compliance risks the AI identified by cross-referencing registration gaps against known business locations

The standout finding: Anduril Industries operated as an unregistered foreign corporation in 5 US states for 4-5 years while accumulating $784M in federal contracts. Their registration sprint in August 2024 — filing in 5 states within 13 days — suggests a retroactive compliance fix. A human analyst would need days to surface this pattern. The AI found it in minutes.

Video Demo

Live Notion workspace: Filed Intelligence Hub

What the AI Found (Real Data)

Company	States	Entities	Federal Contracts	Lobbying	Risk
Lockheed Martin	8/9	71	$5.04B	$8.98M	Medium
Anduril Industries	6/9	6	$784.8M	$4.21M	High
Palantir Technologies	3/9	13	$553.2M	$4.96M	High

Critical findings the AI surfaced on its own:

Lockheed Martin — No Colorado registration despite LM Space HQ in Littleton, CO. Revoked entity in DC (Federal Healthcare Inc.)
Anduril Industries — No Florida registration despite $458M+ in CBP border contracts. All 5 non-DC registrations filed within a 13-day window in Aug-Sep 2024
Palantir Technologies — No Colorado registration 5+ years after HQ move to Denver (confirmed via SEC 8-K). SEC 10-K lists Florida as a business location, but no FL registration exists

Show us the code

GitHub: github.com/mgrantley/filed-mcp-server

Install:

npx filed-mcp-server

MCP Configuration:

{
  "mcpServers": {
    "filed": {
      "command": "npx",
      "args": ["-y", "filed-mcp-server"],
      "env": {
        "FILED_API_KEY": "your_key_here"
      }
    },
    "notion": {
      "command": "npx",
      "args": ["-y", "@notionhq/notion-mcp-server"],
      "env": {
        "OPENAPI_MCP_HEADERS": "{\"Authorization\": \"Bearer YOUR_NOTION_TOKEN\", \"Notion-Version\": \"2022-06-28\"}"
      }
    }
  }
}

Get a free API key at filed.dev/developers — 100 lookups/month on the free tier.

Filed MCP Server — 6 Tools

Tool	What it does
`filed_search_entities`	Search business entities by name across 9 US states
`filed_get_entity`	Full entity details — officers, registered agent, filing history
`filed_company_intel`	Orchestrates all sources into one unified intelligence report
`filed_search_sec`	Search SEC EDGAR filings (10-K, 10-Q, 8-K, S-1)
`filed_search_contracts`	Search federal contracts from USASpending.gov
`filed_search_lobbying`	Search Senate lobbying disclosures (LDA database)

The filed_company_intel tool is the key differentiator. One call searches all 9 states, pulls SEC filings, federal contracts, and lobbying data, then returns a structured report with entity counts, name variations, officer data, and total dollar values.

Architecture:

AI Agent (Claude Code / Cursor / Claude Desktop)
  ├── Filed MCP Server         ← 6 tools, ~500 lines TypeScript
  │   └── Filed.dev API
  │       ├── State registries     (AK, CO, CT, DC, FL, IA, NY, OR, PA)
  │       ├── SEC EDGAR
  │       ├── USASpending.gov
  │       └── Senate LDA
  └── Notion MCP Server       ← structures results into workspace
      └── Notion API
          ├── Companies           (profiles with risk levels)
          └── Intelligence Findings (cross-referenced analysis)

How I Used Notion MCP

Notion MCP is the persistence and analysis layer. Without it, Filed API responses are ephemeral chat messages. With it, the AI builds a structured, queryable workspace that persists.

Database creation: The AI used Notion MCP to create two databases with typed properties — numbers for contract values, selects for risk levels and severity ratings, rich text for detailed findings. The schema maps directly to the intelligence output.

Data population: After each filed_company_intel call, the AI populated structured rows with real data — entity counts, dollar-formatted contract values, lobbying totals, and multi-line key findings summaries.

Cross-referencing (the key insight): Because data persists in Notion, the AI could analyze patterns across companies after all three were researched:

Companies missing state registrations where they clearly operate (HQ locations, contract sites)
Registration timing patterns (Anduril's 13-day sprint across 5 states)
Lobbying intensity ratios compared across peers (Palantir at 0.90% vs Lockheed at 0.18%)
Entities with non-Active status (Revoked, Withdrawn, Non-Compliant) flagged as compliance risks

Intelligence Findings database: Each finding includes severity (Critical/Warning/Info), detailed description, recommended action, and specific data sources cited. This isn't a data dump — it's structured analysis a compliance officer could act on immediately.

Why This Pairing Works

Filed MCP handles the hard part: normalizing data from 9 different state business registries (each with its own format), SEC EDGAR, USASpending, and the Senate lobbying database into a consistent API.

Notion MCP handles the output part: turning structured data into a navigable, filterable workspace with typed properties and relational structure.

Neither server alone is remarkable. Together, they turn "research this company for due diligence" into a one-prompt operation that produces actionable intelligence with cited sources.

37 turns. 13 findings. $0.91. Zero human intervention.

Built by @grantleydev. Filed is a free US business entity search API.

I Built a Free API for U.S. Business Entity Lookups

grantleydev — Thu, 19 Mar 2026 19:14:43 +0000

Every developer hits this wall eventually: you need to look up whether a business is registered, who the officers are, or when it was formed. And every state has its own janky website with different formats, CAPTCHAs, and broken search.

I got tired of scraping Secretary of State websites, so I built Filed — a free API that normalizes business entity data across U.S. states into one clean endpoint.

The Problem

Say you're building:

A KYC/AML compliance check
A CRM that enriches company profiles
A legal tech tool that verifies entity status
A due diligence workflow

You need entity data. Your options:

Scrape each state yourself — 50 different sites, different formats, constant maintenance
Pay $500+/month for enterprise data providers (OpenCorporates, Dun & Bradstreet)
Use Filed — free tier, 100 lookups/month, clean JSON

How It Works

One endpoint. State code + search term. That's it.

curl "https://filed.dev/api/v1/search?state=FL&q=Apple" \
  -H "Authorization: Bearer YOUR_KEY"

Response:

{
  "results": [
    {
      "name": "APPLE INC.",
      "entityNumber": "F05000002957",
      "status": "Active",
      "type": "Foreign Profit Corporation",
      "filingDate": "2005-06-28",
      "state": "FL"
    }
  ],
  "count": 25,
  "source": "Florida Department of State"
}

Entity details with officers, registered agent, and filing history:

curl "https://filed.dev/api/v1/entity/FL:F05000002957" \
  -H "Authorization: Bearer YOUR_KEY"

Currently Supported States

State	Source	Data Quality
Florida	Sunbiz.org	Excellent
New York	DOS	Good
Oregon	SOS	Good
Pennsylvania	DOS	Good
Colorado	SOS	Good
Alaska	Commerce	Good
Connecticut	SOTS	Good
Iowa	SOS	Good
Washington DC	DCRA	Good

9 states and counting. The architecture makes it straightforward to add new sources.

Federal Data Enrichment

Beyond state filings, you can enrich any entity with federal data:

curl "https://filed.dev/api/v1/entity/FL:F05000002957?include=federal" \
  -H "Authorization: Bearer YOUR_KEY"

This pulls from SEC EDGAR, USASpending (federal contracts), Senate lobbying disclosures, SAM.gov, and IRS nonprofit data — all merged into one response.

Free Tier

100 API calls/month
All states included
No credit card required
Get your key at filed.dev/developers

For higher volume: Developer ($49/mo, 5K calls), Business ($199/mo, 25K calls + federal data), Scale ($499/mo, 100K calls). Also available on RapidAPI.

Tech Stack

For the curious:

Next.js API routes on Vercel
Supabase for cached entity data
Socrata Open Data API for states that publish to open data portals (NY, OR, CT, IA)
Custom adapters for states without open data (FL, PA, CO, AK, DC)
Federal APIs — SEC EDGAR, USASpending, Senate LDA, SAM.gov, IRS/ProPublica
Rate limiting and API key auth on all routes

Use Cases

The most common use cases so far:

Legal tech — Verifying entity status before filing documents
Fintech — KYC checks during onboarding
Real estate — Identifying LLC ownership of properties
Sales teams — Enriching CRM data with entity details
Researchers — Bulk analysis of business formations by state

What's Next

More states (targeting all 50 by end of year)
Bulk search endpoints
Webhook notifications for entity status changes
Officer/agent cross-referencing across states

Try It

Go to filed.dev/developers
Get a free API key
Make your first search

If you're building something that needs business entity data, stop scraping state websites. Life's too short.

Questions? Feature requests? Drop a comment below.