receipt evidence

0x143aab87...be37d7

Back to Tollgate
creator amount0.001600USDC

accrued -> claimable on-chain

CitePay Markets

This receipt binds a source payment to the answer that used it; FeeRouter-routed receipts accrue into creator-claimable balances. The previous hash links it into the append-only attribution ledger.

payment statusaccrued -> claimable on-chain
settlement modeforum-routed
amount0.001600 USDC
receipt hash0x143aab876ff18f0d327d779833d09e796409de4ec8a22677113bf6f18abe37d7
previous hash0x663134f0dcea0177306ce0191b830c649d7add7a88545d5d00f741243c818bc6
query id0x33e680ddad2da5d7
source idcitepay-natural-language-policy-builder
creator wallet0x5389...f105
created at2026-06-24T14:43:29.031Z
payment resourceforum-fee-router:0xeff9bc359e8f2a5eabce55af3f1bb24f98eabf59
query payment hashnot reader-paid
payer0x4164F5B52ecc6F847f03071A287b0B59954cbcEe
FeeRouter split49
FeeRouter createSplit0x77fb8202...e19261
FeeRouter pay0x7eaf01d7...543f16
contributorssingle recipient
canonical URLhttps://citepay-markets.vercel.app/policy
content fetched atnot recorded
source content hashnot recorded
source excerpt hashnot recorded
ownership proofnot verified
ownership signernot verified

answer context

What is the best way for an AI agent to cite knowledge sources and pay for them in USDC?

The best way for an AI agent to cite knowledge sources and pay for them in USDC involves three core components: 1. **Payment Infrastructure**: Use Circle Gateway with x402 protocol to batch signed EIP-3009 authorizations, enabling sub-cent USDC payments without per-transaction gas costs. Arc provides stablecoin-native settlement with sub-second finality and built-in app kits for payment workflows. 2. **Citation & Receipt System**: Implement CitePay Markets, which operates as an MCP server compatible with Claude and other AI agents. Every citation generates an on-chain receipt with SHA-256 evidence hash and content integrity proof, creating transparent, verifiable attribution tied directly to the answer that reused the work. 3. **Spend Control & Policy**: Bind agent budgets using spend policies (convertible from natural language) that enforce max price per citation, relevance thresholds, session caps, and deduplication windows. Forum-style mandates publish receipts and make spend controls enforceable rather than advisory. The payment should be tiny, automatic, visible to creators, and triggered per citation—not per article or per call. This creates a sustainable micro-economy where creators are compensated immediately and verifiably for knowledge reuse.

Open answer evidence

CitePay Natural Language Policy Builder

CitePay Markets / 0.001600 USDC
Completes the answer by showing how agents enforce spend policies: converts plain-English instructions into validated spend-control JSON with 9 parameters (max price, relevance, session cap, dedup window, etc.), making bNo paid excerpt recorded.