BitcoinAI

Concept study · $BTAI · v0.4 draft

An intelligence
layer for Bitcoin
native data.

BitcoinAI is a design study for a research stack that reads public chain and market data, reasons over it with an ensemble of models, and returns an answer with its sources attached. It holds no keys, moves no funds, and predicts no prices.

The BitcoinAI emblem: a Bitcoin coin whose circuitry resolves into the profile of a face.
emblem.v2 1024 × 1536 brass / graphite

Design targets

Fixed concept supply
21,000,000
p95 inference budget
41 ms
Answers carrying a source trail
100%
User keys ever held
0

Targets for the reference design, not measurements of a live service.

01 — Thesis

Bitcoin is already legible to machines. It is barely legible to people.

Every block is public, every transaction is verifiable, and none of it arrives in a shape a person can reason about quickly. The gap is not more data — it is interpretation that can be checked. That is the job this concept assigns to a model: compress the chain into an explanation, then hand over the receipts so the explanation can be dismantled.

The stack is deliberately narrow. It answers questions about state that has already been settled, it names its uncertainty, and it stops at the point where a human has to make a decision.

  1. i

    Legibility over volume

    One paragraph a reader can verify beats a dashboard nobody audits.

  2. ii

    Provenance by default

    Every claim carries the block height, endpoint, and window it was drawn from.

  3. iii

    Stated uncertainty

    Confidence is a labelled field, not a tone of voice. Thin data says so.

  4. iv

    Restraint as a feature

    Non-custodial, no automated trading, no forecast dressed up as analysis.

02 — Systems

Three subsystems, each with a job it can be held to.

Ingestion and feature building

Blocks, mempool state, and public venue quotes land in an append-only feature store. Nothing is overwritten, so any answer can be replayed against the exact inputs that produced it.

Sources in the reference design
7
Feature window
144 blocks
Store shape
append-only
Backfill depth
18 months

03 — Architecture

One path from block to answer, with a gate before the exit.

  1. 01

    Ingest

    Nodes and public venues stream in. Raw payloads are hashed on arrival.

  2. 02

    Features

    Derived series are versioned and written once, never edited in place.

  3. 03

    Ensemble

    Models read features plus retrieved protocol text and draft an answer.

  4. 04

    Verify

    Figures are re-derived from the store. A mismatch blocks the response.

  5. 05

    Deliver

    Prose, confidence, and the full source trail leave together or not at all.

04 — Limits

What this concept will not do.

Written down first, so the scope cannot quietly drift later.

  • No price prediction. The stack describes settled state. It does not forecast markets.
  • No custody. No keys, no deposits, no withdrawals. There is nothing to take.
  • No autonomous trading. Agents may draft a proposal; a person executes or nothing happens.
  • No unsourced claims. If the source trail is missing, the answer is withheld.
  • No financial advice. Research output, read at the reader's own risk.

05 — Network

A fixed supply, allocated to the work that has to happen.

21,000,000 $BTAI

Illustrative allocation for the concept. No token has been issued, and nothing on this page is an offer to sell one.

Illustrative allocation of the 21,000,000 $BTAI concept supply
AllocationShare
Research & model development30%
Contributor rewards20%
Ecosystem & partnerships15%
Liquidity15%
Core team, locked10%
Advisors5%
Distribution & grants5%

06 — Roadmap

From a written specification to a stack that can be audited.

  1. Phase 01

    Genesis

    Specification, threat model, and brand system. Feature schema drafted in public.

  2. Phase 02

    Activation

    Ingestion prototype, first ensemble, verifier pass wired in front of every answer.

  3. Phase 03

    Expansion

    Replay tooling, published model cards, external review of the source trail format.

  4. Phase 04

    Evolution

    Open evaluation set, community-run verifiers, and abstention rates reported openly.

Status

A concept, documented honestly
while it is still a concept.

Architecture map

BitcoinAI
Intelligence Infrastructure

  1. 01 Entry points

    User layer

    • Web app
    • Mobile
    • API

    Developer layer

    • SDK
    • API
    • Webhooks
  2. 02 Gateway

    BitcoinAI AI gateway

    Both entry points converge here before anything reaches a model.

  3. 03 Services

    AI assistant

    • Crypto Q&A
    • Research
    • Education

    AI analytics

    • Market data
    • On-chain data
    • Risk analysis

    AI automation

    • User rules
    • Alerts
    • Workflows
  4. 04 Intelligence engine

    LLMs

    ML models

    Agents

  5. 05 Data engine

    Blockchain data

    Markets data

    Knowledge base

  6. 06 Blockchain layer

    Bitcoin

    • Blocks
    • Transactions
    • Wallets
    • Network data

    Bitcoin L2s

    Other chains

  7. 07 Security & verification

    Security & verification

    • Authentication
    • Permissions
    • Encryption
    • Auditing
    • Validation