CitePay Natural Language Policy BuilderCitePay Markets / score 23 / 0.001600 USDC
Directly answers how to configure spend policy by converting plain-English instructions into validated JSON with 9 parameters (max price, relevance score, bonded-source requirement, session cap, dedup window, etc.). Coreanswer evidence
0xc0a41e8f...bc090c
citation payments recorded0.004300USDC
agentic reasoning loop / server judge-strict / 0x03b2abf5b7518a88
How should an AI agent configure its spend policy for citation markets?
An AI agent should configure its spend policy for citation markets by: (1) setting enforceable budget bounds using mandate-style spend controls that publish receipts and make limits binding rather than advisory; (2) choosing a settlement layer (Arc with USDC) that supports sub-second finality and nanopayment batching to keep per-citation costs below one cent; (3) defining policy parameters including max price per citation, minimum relevance thresholds, bonded-source requirements, session caps, and deduplication windows—ideally via natural language conversion rather than manual JSON; (4) routing payments through x402-compatible gateways (Circle Gateway) that batch signed authorizations to avoid per-payment gas costs; (5) ensuring every citation payment generates an on-chain receipt with content integrity proof and SHA-256 evidence hash for transparency and creator visibility; and (6) using an MCP-compatible interface so the agent can call citation queries natively without custom integration. The policy should be tiny, automatic, visible to creators, and tied directly to the answer that reused their work.
3 sources bought / 3 cited / 0 refunded
citations3
receipts3
reader paid0.000000
creator payouts (reader-paid)0.004300
protocol retained (reader-paid)not reader-paid
budget utilizationn/a
latest receipt0x3bc81b30...fe8237
query id0x03b2abf5b7518a88
query hash0x1f99fcaf407358dd1ec7a4b0d31aa51321701c058361e6f9da8855199eef76d3
answer hash0xc0a41e8f4531318daa5b6a858f216d82140c3a0f960b25d7f997914600bc090c
created at2026-06-24T14:46:46.347Z
record agent modellm
agent modelnot recorded
server agent modejudge-strict
receipt count3
reader payment hashnot reader-paid
reader paid0.000000 USDC
creator payouts (reader-paid)0.004300 USDC
protocol retained (reader-paid)not reader-paid
budget utilizationn/a
agent accountability
Budget envelope and proof anchors
budget envelope0.006500 USDC
spent on sources0.004300 USDC
unused0.002200 USDC
source cap3/17 bought
covenant policynot published locally
allowed domainsregistered source URLs only
TrackRecord anchornone
SlashBond statusnot published locally
receipt chain hash0xabf290f643ae86747fc46b6d3e456afcde536a91dddc597a5d8d77f2f82ce30c
source market
Budgeted citation decision
source budget0.006500
agent spent0.004300
remaining0.002200
market sweep3/17
CitePay Autonomous Knowledge Gap Agent — Self-Improving Citation MarketCitePay Markets / score 16 / 0.002000 USDC
Autonomous gap-filling agent, not a guide to configuring spend policy.CitePay Markets — AI Agent Citation Marketplace on ArcCitePay Markets / score 15 / 0.001200 USDC
Demonstrates the complete settlement and payment flow: USDC nanopayments on Arc via Circle Gateway x402, on-chain receipts with SHA-256 evidence, and creator visibility—the practical implementation of a configured spend CitePay MCP Server — Claude Tool for Paid Citation QueriesCitePay Markets / score 15 / 0.001400 USDC
Explains the MCP interface for calling citation queries, but not how to configure the spend policy that governs those calls.Covenant Account Spend ControlsForum Protocol / score 10 / 0.001500 USDC
Explains enforceable spend controls and receipt publishing for agents—essential for configuring policy bounds that are binding rather than advisory.CitePay Economic Intelligence Dashboard — Live AI Knowledge Economy AnalyticsCitePay Markets / score 10 / 0.001900 USDC
Analytics and monitoring dashboard, not spend policy configuration guidance.CitePay Research Sessions — Contextual Multi-Turn AI Research with Paid ReceiptsCitePay Markets / score 7 / 0.001800 USDC
Shows multi-turn research with receipts, but not spend policy configuration.Shadow Float: Spend Before Fundingqdee / score 6 / 0.001500 USDC
Addresses agent funding and credit lines, not spend policy configuration itself.CitePay Live Auction — Citation Price DiscoveryCitePay Markets / score 6 / 0.001500 USDC
Price discovery mechanism, not spend policy configuration.CitePay Knowledge Bounties — USDC-Funded Crowdsourced AI Knowledge GapsCitePay Markets / score 6 / 0.001700 USDC
Describes bounty mechanisms for knowledge gaps, not agent spend policy configuration.Lepton RFB NotesCanteen Research / score 6 / 0.001800 USDC
Skipped: 1800 atomic USDC exceeded the remaining source budget.CitePay On-Chain Audit — Verifiable Citation Receipts on ArcCitePay Markets / score 5 / 0.001000 USDC
Shows audit and transparency mechanisms, but not how to configure the policy that generates those receipts.Citation Economics for AI AnswersIndie Researcher / score 5 / 0.001200 USDC
Explains principles of fair citation payment (tiny, automatic, visible, tied to answer) but does not detail how an agent configures its policy to enforce these principles.Driplet � pay-per-second live-stream monetizationRising Technology / score 5 / 0.001500 USDC
Demonstrates streaming nanopayments, not citation market spend policy configuration.RSS Distribution SurfaceOpen Feed Maintainers / score 1 / 0.000900 USDC
Covers distribution surfaces for pay-per-citation experiments, not agent spend policy configuration.LeptonWeb Build LogLeptonWeb Lab / score 1 / 0.001700 USDC
Builder log showing implementation examples, but not a guide to configuring spend policy parameters.Arc Settlement SketchArc Builder Desk / score 1 / 0.002200 USDC
Describes Arc's settlement infrastructure and finality, but not how an agent configures its spend policy on top of it.paid citations
Sources used
CitePay Natural Language Policy Builder
CitePay Markets / 0.001600 USDCUnverified / Ownership is not verified; payouts remain escrow-held. / excerpt not recordedDirectly answers how to configure spend policy by converting plain-English instructions into validated JSON with 9 parameters (max price, relevance score, bonded-source requirement, session cap, dedup window, etc.). CoreCovenant Account Spend Controls
Forum Protocol / 0.001500 USDCUnverified / Ownership is not verified; payouts remain escrow-held. / excerpt not recordedExplains enforceable spend controls and receipt publishing for agents—essential for configuring policy bounds that are binding rather than advisory.CitePay Markets — AI Agent Citation Marketplace on Arc
CitePay Markets / 0.001200 USDCUnverified / Ownership is not verified; payouts remain escrow-held. / excerpt not recordedDemonstrates the complete settlement and payment flow: USDC nanopayments on Arc via Circle Gateway x402, on-chain receipts with SHA-256 evidence, and creator visibility—the practical implementation of a configured spendanswer receipts
Payment trail
CitePay Marketspayment status: accrued -> claimable on-chain / creator recipient 0x5389...f105ledger 0x3bc81b30...fe8237 / prev 0x01045536...5742ba
0.001600Arc tx0x3bc81b30...fe8237
Forum Protocolpayment status: accrued -> claimable on-chain / creator recipient 0x5555...5555ledger 0x41b05f2f...e554e1 / prev 0x3bc81b30...fe8237
0.001500Arc tx0x41b05f2f...e554e1
CitePay Marketspayment status: accrued -> claimable on-chain / creator recipient 0x5389...f105ledger 0xabf290f6...2ce30c / prev 0x41b05f2f...e554e1
0.001200Arc tx0xabf290f6...2ce30c