FULL ENTITY-DRIVEN OPERATIONAL FLOW v1

(AI-native • Claim-based • Corridor-aware • Monetizable)

I. SYSTEM OVERVIEW

The system operates as a structured economic intelligence engine.

Every publication passes through five irreversible stages:

Entity Resolution
Claim Extraction
Validation & Verification
Article Rendering
API Distribution & Monetization

This guarantees:

No hallucinated facts
Field-level provenance
Structured semantic output
Revenue-ready data products

II. STAGE 1 — ENTITY RESOLUTION

Objective

Determine whether we are:

Updating an existing entity
Creating a new entity
Linking multiple entities

Input

Submission form
Interview transcript
Public registry
Partner feed

Process

1. Normalize identifiers

Domain canonicalization
Legal name normalization
Location normalization
Slug generation

2. Match against existing entities

Scoring factors:

Domain match (highest weight)
Legal name similarity
Registration number
Geo proximity
Social profile match

3. Decision logic

If match score ≥ 0.92 → link to existing entity
If 0.75–0.92 → human confirmation required
If < 0.75 → create new entity

Output

Canonical Entity ID (UUID)

Entity state:
draft

III. STAGE 2 — CLAIM EXTRACTION

This is the atomic layer of truth.

Each extracted field becomes a claim.

Example Claim Object

{
  "claim_id": "uuid",
  "entity_id": "uuid",
  "field_path": "funding.total_raised",
  "value": {
    "currency": "USD",
    "amount": 2500000
  },
  "source": {
    "type": "interview",
    "document_id": "uuid",
    "recorded_at": "2026-03-01T12:00:00Z"
  },
  "confidence": 87,
  "verification_level": "self_reported",
  "status": "proposed"
}

Extraction Rules

AI may:

Extract
Normalize
Suggest taxonomy mapping

AI may NOT:

Invent data
Infer funding amounts
Extrapolate headcount
Guess export markets

All claims must reference a source.

Output

List of proposed claims attached to entity.

IV. STAGE 3 — VALIDATION & VERIFICATION

Two-layer control system.

Layer 1 — Automated Validation

Checks:

Required fields present
ISO country codes valid
Dates logical
Funding currency valid
No duplicated entities
Taxonomy compliance
Contradictions between claims

Produces:

{
  "completeness_score": 82,
  "errors": [],
  "warnings": ["missing_headcount_range"],
  "confidence_summary": 84
}

Blocking errors must be resolved.

Layer 2 — Human Verification

Roles:

Editor:

Clarity
Neutral tone
No promotional language

Verifier:

Evidence confirmation
Verification level upgrade
Approve / reject claims

Claim states:

proposed
approved
rejected
superseded

Only approved claims proceed.

Entity Status Upgrade

If minimum required fields + at least partially verified:

Entity → verified

If minimal structure only:

Entity → published (self_reported)

V. STAGE 4 — ARTICLE RENDERING

The article is a projection of the canonical entity.

Rendering Template

1. Executive Summary

Generated strictly from approved fields.

2. Structured Snapshot

Direct field mapping from entity schema.

3. Core Activity

Based only on:

description
products
technologies
sector tags

4. Market Positioning

Derived from:

stage
business model
market presence

5. Ecosystem Context

Derived from:

relationships
tags
corridor domains

6. Verification Note

Generated from:

provenance
verification_level
last_verified_at

Guardrail

Generation must be schema-locked:

The model receives only approved JSON.
It cannot access raw transcripts.

Output

HTML article
Markdown version
JSON-LD embed
Changelog entry

VI. STAGE 5 — API DISTRIBUTION & MONETIZATION

Now the system becomes a revenue engine.

API LAYER ARCHITECTURE (B2B Monetization)

1. Public (Free Tier, Rate Limited)

GET /api/v1/entities/{id}
GET /api/v1/entities/search
GET /api/v1/corridors
GET /api/v1/sectors

Purpose:

Visibility
Indexing
Ecosystem exposure

2. Verified Data API (Subscription Tier)

GET /api/v1/entities/verified
GET /api/v1/entities/{id}/provenance
GET /api/v1/entities/{id}/claims
GET /api/v1/entities/{id}/timeline

Value:

Field-level transparency
Audit-ready data
Institutional research use

3. Corridor Intelligence API (Premium Tier)

GET /api/v1/corridors/{id}/pipeline
GET /api/v1/corridors/{id}/entities
GET /api/v1/corridors/{id}/kpis

Includes:

Fit scores
Trade readiness
Investment readiness
Domain classification

Target:

Funds
Trade desks
Economic development agencies

4. Real-Time Update API (Webhook Tier)

POST subscription endpoint

Events:

entity.created
entity.updated
claim.updated
corridor.pipeline.added
verification.upgraded

This is valuable for:

Investment platforms
Due diligence systems
Institutional dashboards

5. Graph API (Advanced Tier)

GraphQL endpoint:

Query subgraphs:

Companies in biotech in MDQ exporting to UAE
Seed-stage AI firms with verified funding
Corridor-linked companies requiring IP structuring

This is high-value B2B infrastructure.

VII. REVENUE MODEL BY API TIER

Free Tier:
Visibility + ecosystem growth

Professional Tier:
Verified entities + provenance + search filters

Institutional Tier:
Corridor pipeline + dashboards + alerts

Enterprise Tier:
Graph queries + bulk exports + webhooks

VIII. FULL FLOW SUMMARY

Raw input
↓
Entity resolution
↓
Claim extraction
↓
Automated validation
↓
Human verification
↓
Canonical entity build
↓
Article rendering
↓
JSON-LD generation
↓
API update
↓
Webhook notifications
↓
Search index update
↓
Corridor pipeline inclusion