ERCData

Store and verify AI-related data on Base mainnet. Public or private, with cryptographic integrity proofs.

Quick Start

# Store public data
uv run {baseDir}/scripts/ercdata-cli.py store \
  --type AI_AGENT_MEMORY \
  --data "memory hash: abc123" \
  --metadata '{"agent":"MyBot","ts":"2026-01-31"}' \
  --key $ERCDATA_KEY --contract $ERCDATA_CONTRACT

# Store private data (only you + granted addresses can read)
uv run {baseDir}/scripts/ercdata-cli.py store \
  --type AI_AGENT_MEMORY \
  --data "secret memory data" \
  --private \
  --key $ERCDATA_KEY --contract $ERCDATA_CONTRACT

# Read entry
uv run {baseDir}/scripts/ercdata-cli.py read --id 1 --key $ERCDATA_KEY --contract $ERCDATA_CONTRACT

# Verify entry (EIP-712 signature check)
uv run {baseDir}/scripts/ercdata-cli.py verify --id 1 --method eip712 --key $ERCDATA_KEY --contract $ERCDATA_CONTRACT

# Grant access to private entry
uv run {baseDir}/scripts/ercdata-cli.py grant-access --id 2 --to 0xSomeAddress --key $ERCDATA_KEY --contract $ERCDATA_CONTRACT

Configuration

Set via environment or skill config:

• ERCDATA_KEY — Private key for signing transactions (required for writes)
• ERCDATA_CONTRACT — Contract address on Base mainnet
• ERCDATA_RPC — RPC URL (default: https://mainnet.base.org)

Or pass via --key, --contract, --rpc flags.

Commands

Command	What it does
store	Store data on-chain (add --private for access control)
read	Read a data entry by ID
verify	Verify data integrity (eip712 or hash method)
grant-access	Grant read access to an address (private entries)
revoke-access	Revoke read access
register-type	Register a new data type (admin only)
snapshot	Create a point-in-time snapshot
info	Get entry info without full data

Privacy Model

• Public (default): Anyone can read via getData(). Use for transparency, audit trails.
• Private (--private): Only the provider, granted addresses, and admin can read. Use for sensitive agent data.

Private entries store the same data on-chain but gate getData() access. Note: raw transaction calldata is still visible on-chain explorers. For maximum privacy, encrypt data before storing.

Use Cases for AI Agents

1. Memory attestation — Hash your MEMORY.md and store it periodically for tamper-proof audit trail
2. Agent identity — Store model fingerprint, system prompt hash, config on-chain
3. Verifiable outputs — Hash agent outputs and store for later verification
4. Agent-to-agent trust — Check another agent's ERCData entries before trusting its data
5. Model provenance — Store model hashes, benchmark scores, architecture metadata

API Reference

See references/api.md for full contract API, roles, events, and limits.

Requirements

• Python 3.10+ with web3 and eth-account packages (auto-installed by uv)
• A funded wallet on Base mainnet (ETH for gas)
• PROVIDER_ROLE granted by contract admin for storing data
• VERIFIER_ROLE granted for verification operations