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Integrations

Blackmoat Intelligence Integration

How DMTR integrates Blackmoat private market intelligence into the platform via @dmtr/intelligence and the /v1/intelligence API.

Overview

DMTR integrates Blackmoat private market intelligence — a curated corpus of 2,500+ startups, 1,100+ investors, 57,000+ funding transactions, and narrative intelligence documents — into the platform as a first-class subsystem. The integration provides structured company profiles, transaction histories, key people, and valuation metrics alongside DMTR's ownership and transferability infrastructure.

The two systems occupy complementary positions:

CapabilityBlackmoatDMTRIntegrated
Company discovery and profilingYesNoYes
Funding round and deal graphYesNoYes
Valuation and operating metricsYesNoYes
Key people and investor graphYesNoYes
Canonical ownership stateNoYesYes
Transfer feasibility evaluationNoYesYes
Consent chain orchestrationNoYesYes

Architecture

The integration introduces a new @dmtr/intelligence package that abstracts intelligence data access:

Chrome Extension ──→ DMTR API (/v1/intelligence/*) ──→ @dmtr/intelligence
                          │                                    │
                          ├── /v1/positions (DMTR core)        ├── SqliteProvider (dev)
                          ├── /v1/transfers (DMTR core)        └── PostgresProvider (prod, planned)
                          └── entity_crosswalk

@dmtr/intelligence package

Located at packages/intelligence/, this package provides:

  • IntelligenceProvider interface — abstract API for entity lookup, search, transactions, people, documents, snapshots, and entity resolution
  • SqliteProvider — reads from the same better-sqlite3 instance as the DMTR API (development mode)
  • EntityResolver — TypeScript port of Blackmoat's Python entity resolution algorithm (alias → exact → fuzzy matching with Levenshtein distance)
  • Zod schemas for all intelligence types (IntelEntity, IntelPerson, IntelTransaction, IntelSnapshot, IntelDocument, EntityMatch)
  • CURIE ID system — FC:ORG:*, FC:PERSON:*, FC:DEAL:* format from Blackmoat

Entity crosswalk

The entity_crosswalk table links Blackmoat entity IDs to DMTR position entity IDs:

CREATE TABLE entity_crosswalk (
  blackmoat_id TEXT NOT NULL,
  dmtr_entity_id TEXT NOT NULL,
  confidence REAL DEFAULT 1.0,
  source TEXT DEFAULT 'manual',
  PRIMARY KEY (blackmoat_id, dmtr_entity_id)
);

This enables the /enrich endpoint to compose intelligence data with DMTR position data in a single response.

Try it — Start the API with pnpm dev and open http://localhost:3100. The Intelligence Discovery section at the top of the demo page provides a live entity search and enrichment explorer. Search for "Saronic" or "Anduril" to see the enrichment response rendered with metrics, transactions, people, and the DMTR transferability badge.

Intelligence API

All endpoints are mounted under /v1/intelligence/ on the Hono API.

EndpointMethodDescription
/v1/intelligence/entities/:slugGETFull entity profile
/v1/intelligence/entitiesGETSearch entities by ?q= query string
/v1/intelligence/entities/:slug/transactionsGETTransaction history
/v1/intelligence/entities/:slug/peopleGETKey people
/v1/intelligence/entities/:slug/documents/:typeGETIntelligence documents by type
/v1/intelligence/entities/:slug/documentsGETAll documents
/v1/intelligence/entities/:slug/snapshotsGETTime-series metrics
/v1/intelligence/resolvePOSTEntity resolution: { name, type? } → ranked matches
/v1/intelligence/enrich/:slugGETComposite enrichment: entity + transactions + people + snapshots + documents + DMTR positions + transferability

Enrichment response

The /enrich/:slug endpoint is the key integration point, designed for the Chrome extension's "Know" tab:

{
  "entity": {
    "entity_id": "FC:ORG:saronic",
    "slug": "saronic",
    "display_name": "Saronic Technologies",
    "entity_type": "startup",
    "description": "Autonomous surface vessels for naval defense...",
    "headquarters": "Austin, TX",
    "founded_year": 2021,
    "tags": ["defense", "autonomous-vehicles", "maritime"]
  },
  "transactions": [...],
  "people": [...],
  "snapshots": [...],
  "documents": [...],
  "dmtr_positions": [...],
  "transferability": {
    "transferable": true,
    "restriction_count": 5,
    "dmtr_entity_ids": ["pos-rd-gp-a-saronic", "pos-rd-gp-b-saronic", "pos-rd-gp-c-saronic", "pos-rd-gp-d-saronic"]
  }
}

Seed data

The development environment seeds a curated subset of Blackmoat data:

Data typeCountCoverage
Entities20All Megalith portfolio companies + major VC firms + landmark tech companies
People23Founders, CEOs, and key investors
Transactions24Primary rounds and secondary transactions
Deal participants42Investor participation in deals
Snapshots31Valuation, total raised, headcount, revenue metrics
Documents6Company context and competitive analysis
Crosswalk entries4Saronic DOIV positions → DMTR position mappings

No external database is required for development. Intelligence data is seeded into SQLite alongside Patient Zero positions when the API starts.

What's deferred

The following are planned but not yet implemented:

  • PostgresProvider — production Supabase/Postgres connection via BLACKMOAT_DATABASE_URL
  • Full corpus import — script to import the complete 1.4 GB Blackmoat dataset
  • MCP server — intelligence tools as MCP resources and tools
  • Bidirectional sync — DMTR execution events feeding back into intelligence
  • Collateral and lending engine — pledging intelligence-enriched positions
  • Lender marketplace — two-sided lending with intelligence-driven haircuts
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Last reviewed: March 23, 2026

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