# Entity Schema

Entities are tracked objects in the world — companies, protocols, people, markets — that have attributes changing over time. Entities sit alongside claims as a parallel input to beliefs and positions.

```
Evidence → Claims (what's true about the world)
         → Entities (who's doing what in the world)
              ↓
         Beliefs (what we think it means)
              ↓
         Positions (what we'd bet on)
```

Claims are static propositions with confidence levels. Entities are dynamic objects with temporal attributes. Both feed into agent reasoning.

## Entity Type System

The type system has two layers: **core types** shared by all agents, and **domain-specific extensions** that specialize core types for particular domains. Every entity uses exactly one type.

### Core Types (all domains)

| Type | What it tracks | Examples |
|------|---------------|----------|
| `company` | Organization that operates — startup, fund, DAO, protocol | MetaDAO, Aave, Devoted Health, SpaceX |
| `person` | Individual with tracked positions/influence | Proph3t, Stani Kulechov, Elon Musk |
| `organization` | Government body, regulatory agency, standards body, consortium | SEC, CFTC, NASA, FLI, CMS |
| `product` | Specific product, tool, or platform distinct from its maker | Autocrat, Starlink, Claude |
| `market` | Industry segment or ecosystem | Futarchic markets, DeFi lending, Medicare Advantage |

### Domain-Specific Extensions

Domain extensions are specialized subtypes that inherit from a core type. Use the most specific type available — it determines which fields are relevant.

#### Internet Finance (Rio)

| Type | Extends | What it tracks | Examples |
|------|---------|---------------|----------|
| `protocol` | company | On-chain protocol with TVL/volume metrics | Aave, Drift, Omnipair |
| `token` | product | Fungible token distinct from its protocol | META, SOL, CLOUD |
| `exchange` | company | Trading venue (CEX or DEX) | Raydium, Meteora, Jupiter |
| `fund` | company | Investment vehicle or DAO treasury | Solomon, Theia Research |

#### Space Development (Astra)

| Type | Extends | What it tracks | Examples |
|------|---------|---------------|----------|
| `vehicle` | product | Launch vehicle or spacecraft | Starship, New Glenn, Neutron |
| `mission` | — | Specific spaceflight mission | Artemis III, ESCAPADE |
| `facility` | — | Launch site, factory, or ground infrastructure | Starbase, LC-36 |
| `program` | — | Multi-mission program or initiative | Artemis, Commercial Crew |

#### Health (Vida)

| Type | Extends | What it tracks | Examples |
|------|---------|---------------|----------|
| `therapy` | product | Treatment modality or therapeutic approach | mRNA cancer vaccines, GLP-1 agonists |
| `drug` | product | Specific pharmaceutical product | Ozempic, Keytruda |
| `insurer` | company | Health insurance organization | UnitedHealthcare, Devoted Health |
| `provider` | company | Healthcare delivery organization | Kaiser Permanente, Oak Street Health |
| `policy` | — | Legislation, regulation, or administrative rule | GENIUS Act, CMS 2027 Advance Notice |

#### Entertainment (Clay)

| Type | Extends | What it tracks | Examples |
|------|---------|---------------|----------|
| `studio` | company | Production company or media business | Beast Industries, Mediawan |
| `creator` | person | Individual content creator or artist | MrBeast, Taylor Swift |
| `franchise` | product | IP, franchise, or media property | Claynosaurz, Pudgy Penguins |
| `platform` | product | Distribution or social media platform | YouTube, TikTok, Dropout |

#### AI/Alignment (Theseus)

| Type | Extends | What it tracks | Examples |
|------|---------|---------------|----------|
| `lab` | company | AI research laboratory | Anthropic, OpenAI, DeepMind |
| `model` | product | AI model or model family | Claude, GPT-4, Gemini |
| `framework` | product | Safety framework, governance protocol, or methodology | RSP, Constitutional AI |
| `governance_body` | organization | AI governance or safety organization | AISI, FLI, Partnership on AI |

### Choosing the Right Type

```
Is it a person?                          → person (or domain-specific: creator)
Is it a government/regulatory body?      → organization (or domain-specific: governance_body)
Is it a governance proposal or market?   → Use schemas/decision.md (decisions are separate from entities)
Is it a specific product/tool?           → product (or domain-specific: drug, model, vehicle, etc.)
Is it an organization that operates?     → company (or domain-specific: lab, studio, insurer, etc.)
Is it a market segment?                  → market
Is it a policy or regulation?            → policy
Is it a space mission?                   → mission
Is it a physical facility?               → facility
Is it a multi-mission program?           → program
```

**Rule:** Use the most specific type available. If a DeFi protocol fits `protocol`, use that instead of `company`. If an AI lab fits `lab`, use that instead of `company`. Domain-specific types carry domain-specific fields.

### Adding New Types

Core types require a schema PR reviewed by Leo. Domain-specific types are agent-managed — add a row to your domain's extension table via PR. No schema-wide changes needed. If a new type could apply to multiple domains, propose it as a core type instead.

### Cross-Domain Entity Dedup

One entity per real-world object. If Anthropic appears in both internet-finance and ai-alignment sources:

1. **First creator owns the file.** Whichever agent creates the entity first files it in their domain (`entities/ai-alignment/anthropic.md`).
2. **Other agents use `secondary_domains`.** The entity gets `secondary_domains: [internet-finance]` so it's discoverable across domains.
3. **Both agents can update.** The `tracked_by` agent is responsible for staleness, but any agent can propose updates via PR when their sources contain new information.
4. **Type follows primary domain.** If Theseus creates it, it's `lab`. If Rio had created it first, it would be `company`. The type reflects the primary tracking perspective.

If two agents independently create the same entity, the reviewer merges them during PR review — keep the richer file, add `secondary_domains` from the other.

## YAML Frontmatter

```yaml
---
type: entity
entity_type: company | person | organization | product | market | protocol | token | exchange | fund | vehicle | mission | facility | program | therapy | drug | insurer | provider | policy | studio | creator | franchise | platform | lab | model | framework | governance_body
name: "Display name"
domain: internet-finance | entertainment | health | ai-alignment | space-development
handles: ["@StaniKulechov", "@MetaLeX_Labs"]  # social/web identities
website: https://example.com
status: active | inactive | acquired | liquidated | emerging  # for most types
# Decision markets use: active | passed | failed
tracked_by: rio  # which agent owns this entity
created: YYYY-MM-DD
last_updated: YYYY-MM-DD
---
```

## Required Fields

| Field | Type | Description |
|-------|------|-------------|
| type | enum | Always `entity` |
| entity_type | enum | Any type from the type system above |
| name | string | Canonical display name |
| domain | enum | Primary domain |
| status | enum | Current operational status |
| tracked_by | string | Agent responsible for keeping this current |
| created | date | When entity file was created |

## Optional Fields (all entity types)

| Field | Type | Description |
|-------|------|-------------|
| handles | list | Social media handles, URLs |
| website | string | Primary web presence |
| last_updated | date | When entity was last reviewed for accuracy |
| tags | list | Discovery tags |
| secondary_domains | list | Other domains this entity is relevant to |

## Decisions (separate schema)

Governance decisions, prediction market questions, and futarchy proposals are **not entities** — they are events with terminal states. See `schemas/decision.md` for the full decision schema. Decisions are filed in `decisions/{domain}/`, not alongside entities.

**Relationship to entities:** Parent entities should include a "## Key Decisions" summary table wiki-linking to their decision files. Not every decision warrants a row — only those that materially changed the entity's trajectory.

```markdown
## Key Decisions
| Date | Proposal | Proposer | Volume | Outcome |
|------|----------|----------|--------|---------|
| 2025-02-10 | [[metadao-hire-robin-hanson]] | proph3t | $X | Passed |
| 2024-03-03 | [[metadao-burn-993-meta]] | proph3t | $X | Passed |
```

## Company-Specific Fields

```yaml
# Company attributes (also used by protocol, exchange, fund, lab, studio, insurer, provider)
founded: YYYY-MM-DD
founders: ["[[person-entity]]"]
category: "DeFi lending protocol"
parent: "[[parent-entity]]"  # e.g., [[futardio]] for launched projects
stage: seed | growth | mature | declining | liquidated
market_cap: "$X"  # latest known, with date in body
funding: "$X raised"  # total known funding
key_metrics:
  tvl: "$40B"
  volume: "$X"
  users: "X"
competitors: ["[[competitor-entity]]"]
built_on: ["Solana", "Ethereum"]

# Capital formation fields (for launched/funded entities)
raise_target: "$500K"          # intended raise amount
amount_raised: "$969K"         # actual amount raised
total_committed: "$14.9M"      # total capital committed (shows demand)
# oversubscription_ratio is calculated: total_committed / raise_target
# Do NOT store it — derive it to prevent inconsistency
treasury: "$575K USDC"         # current treasury balance
token_price: "$0.05"           # current token price
monthly_allowance: "$50K"      # approved monthly spend rate
launch_date: YYYY-MM-DD       # when the entity launched/raised
```

## Person-Specific Fields

People entities serve dual purpose: they track public figures we analyze AND serve as contributor profiles when those people engage with the KB. One file, two functions — the file grows from "person we track" to "person who participates."

```yaml
# Person attributes (also used by creator)
role: "Founder & CEO of Aave"
organizations: ["[[company-entity]]"]
followers: 290000  # primary platform
credibility_basis: "10 years building largest DeFi protocol"
known_positions:
  - "DAOs need founder-led execution with onchain accountability"
  - "DeFi must capture traditional lending market"
influences: ["[[person-entity]]"]  # who they cite/follow
influenced_by: ["[[person-entity]]"]

# Contributor attributes (populated if/when they engage with the KB)
contributor: false  # becomes true when they contribute
contributions: []  # list of claims they proposed, challenged, or enriched
first_contribution: null  # date of first KB interaction
attribution_handle: null  # how they want to be credited
```

## Other Core Type Fields

```yaml
# Organization attributes (also used by governance_body)
jurisdiction: "United States"
authority: "Securities regulation"  # what this body governs
parent_body: "[[parent-organization]]"

# Product attributes (also used by token, vehicle, drug, model, framework, franchise, platform)
maker: "[[company-entity]]"  # who built/maintains this
launched: YYYY-MM-DD
category: "futarchy governance program"

# Market attributes
total_size: "$120B TVL"
growth_rate: "flat since 2021"
key_players: ["[[company-entity]]"]
market_structure: "winner-take-most | fragmented | consolidating"
regulatory_status: "emerging clarity | hostile | supportive"
```

**Domain-specific fields:** Each agent adds type-specific fields as they start extracting entities. The fields above cover core types. When Astra creates their first `vehicle` entity, they add vehicle-specific fields to the schema. Complexity is earned from actual use, not designed in advance.

## Body Format

```markdown
# [Entity Name]

## Overview
[What this entity is, why we track it — 2-3 sentences]

## Current State
[Latest known attributes, metrics, positioning — updated when new info arrives]

## Timeline
- **YYYY-MM-DD** — [Event: founded, launched, acquired, pivoted, etc.]
- **YYYY-MM-DD** — [Event]
- **YYYY-MM-DD** — [Event]

## Competitive Position
[Where this entity sits relative to competitors. Market share, differentiation, vulnerabilities.]

## Investment Thesis (if applicable)
[Why this entity is undervalued/overvalued. What catalysts exist. What would change the thesis.]

## Relationship to KB
[Which claims, beliefs, or positions depend on or reference this entity]
- [[claim-title]] — how this entity relates
- [[belief]] — what this entity's trajectory means for our worldview

---

Relevant Entities:
- [[competitor]] — competitive relationship
- [[founder]] — founded by

Topics:
- [[domain-map]]
```

## Governance

- **Who creates:** Any agent can create entities in their domain. `tracked_by` field sets ongoing ownership.
- **All updates go through eval.** Entity changes — factual attribute updates, thesis changes, competitive analysis, timeline additions — all go through PR review. Entities are diagnostic artifacts: every change is a signal about the world, and the eval pipeline verifies that signal is accurate and properly linked. No shortcuts.
- **Staleness:** Entities not updated in 90 days get flagged. The `tracked_by` agent is responsible for keeping entities current.
- **Retirement:** Entities that cease to exist get `status: liquidated` or `status: acquired` with explanation, not deleted. Their history remains valuable.

## Filing Convention

**Location:** `entities/{domain}/{slugified-name}.md`

```
entities/                              # Entities (persistent objects)
  internet-finance/
    metadao.md
    aave.md
    solomon.md
    stani-kulechov.md
    gabriel-shapiro.md
  entertainment/
    claynosaurz.md
    pudgy-penguins.md
    matthew-ball.md
    beast-industries.md                # studio
  health/
    devoted-health.md                  # insurer
    function-health.md
    ozempic.md                         # drug
  ai-alignment/
    anthropic.md                       # lab
    claude.md                          # model
    rsp.md                             # framework
  space-development/
    spacex.md
    starship.md                        # vehicle
    artemis.md                         # program

decisions/                             # Decisions (events with terminal states)
  internet-finance/
    metadao-hire-robin-hanson.md
    metadao-burn-993-percent-meta.md
    deans-list-implement-vesting.md
```

**Filename:** Lowercase slugified name. Companies use brand name, people use full name. Decisions use `{parent}-{proposal-slug}.md` and are filed in `decisions/{domain}/`, not `entities/`.

## How Entities Feed Beliefs

When an entity's attributes change (new funding round, market cap shift, product launch, leadership change, liquidation), agents should:
1. Update the entity file
2. Check which claims reference this entity
3. Check which beliefs depend on those claims
4. Flag beliefs for re-evaluation if the entity change is material

This is the same cascade logic as claim updates, extended to entity changes.

## Relationship to Sources

Sources often contain entity information. During extraction, agents should:
- Extract claims (propositions about the world) → `domains/{domain}/`
- Update entities (factual changes to tracked objects) → `entities/{domain}/`
- Extract decisions (governance events) → `decisions/{domain}/`
- All from the same source, in the same PR

See `skills/extract-entities.md` for the full extraction process.

## Key Difference from Claims

| | Claims | Entities |
|---|---|---|
| Nature | Propositions (true/false) | Objects (exist/change) |
| Change model | Confidence shifts | Attribute updates |
| Title format | "X is true because Y" | "Company Name" |
| Disagreement | Counter-claims challenge | Competitive analysis compares |
| Value | Reasoning chains | Situational awareness |
| Temporal | Created date, mostly static | Timeline of events |