CitePay Natural Language Policy BuilderCitePay Markets / score 13 / 0.001600 USDC
Directly answers the question by explaining the 9-parameter spend policy framework that controls agent pay/refuse decisions, and shows how policies are built and validated.answer evidence
0xb19d60a7...485cab
citation payments recorded0.004300USDC
agentic reasoning loop / server judge-strict / 0xa6a768db36d99128
What parameters control how an AI agent decides to pay or refuse a knowledge source?
An AI agent's decision to pay or refuse a knowledge source is controlled by a **Spend Policy** with nine key parameters: (1) **max price per citation** — the ceiling price the agent will pay; (2) **min relevance score** — a threshold below which sources are rejected regardless of price; (3) **bonded-source requirement** — whether the source must post collateral or reputation; (4) **session cap** — total budget limit per research session; (5) **dedup window** — time period to avoid paying twice for the same content; (6) **receipt visibility** — whether payments must be on-chain and auditable; (7) **creator mandate** — whether the source creator has published spend controls the agent must honor; (8) **x402 protocol support** — whether the source accepts nanopayment settlement; and (9) **policy enforcement mode** — whether spend controls are advisory or hard-blocked. These parameters are typically expressed as a JSON policy document, but can also be generated from plain-English instructions using natural language policy builders. The agent evaluates each candidate source against this policy: if price exceeds max, relevance falls below threshold, or mandatory controls are violated, the source is refused; otherwise, the agent pays via on-chain USDC settlement on Arc with Circle Gateway x402, generating a verifiable receipt tied to the citation.
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 receipt0xc54ad46d...0ba93d
query id0xa6a768db36d99128
query hash0x238f07269dc6b955d530fd91e40afd5849b2fe3a3ef9eeb54405e466bc9cc085
answer hash0xb19d60a7425fc068315e3f36e011074ff44f6edb634c2eafa912973f64485cab
created at2026-06-24T14:47:35.512Z
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 cap3/18 bought
covenant policynot published locally
allowed domainsregistered source URLs only
TrackRecord anchornone
SlashBond statusnot published locally
receipt chain hash0x225b5a73f6556c9751fd43a788a1cf8583960d201a841c920e27bb3017c7b6c9
source market
Budgeted citation decision
source budget0.006500
agent spent0.004300
remaining0.002200
market sweep3/18
CitePay Knowledge Bounties — USDC-Funded Crowdsourced AI Knowledge GapsCitePay Markets / score 11 / 0.001700 USDC
Describes bounty mechanism; does not explain agent decision parameters for source payment.CitePay Economic Intelligence Dashboard — Live AI Knowledge Economy AnalyticsCitePay Markets / score 11 / 0.001900 USDC
Analytics dashboard; does not explain agent decision parameters or policy controls.CitePay Autonomous Knowledge Gap Agent — Self-Improving Citation MarketCitePay Markets / score 11 / 0.002000 USDC
Describes autonomous gap-filling agent; does not explain the decision parameters that control pay/refuse logic.CitePay Markets — AI Agent Citation Marketplace on ArcCitePay Markets / score 10 / 0.001200 USDC
Demonstrates the operational mechanics of agent payment decisions: every PAY decision has on-chain receipt evidence, showing how policy enforcement translates to actual payment or refusal.Driplet � pay-per-second live-stream monetizationRising Technology / score 10 / 0.001500 USDC
Demonstrates streaming payment mechanics; not directly relevant to agent source-buying decision parameters.CitePay Live Auction — Citation Price DiscoveryCitePay Markets / score 8 / 0.001500 USDC
Shows price discovery auction; does not explain the policy parameters that control agent payment decisions.Citation Economics for AI AnswersIndie Researcher / score 6 / 0.001200 USDC
Frames payment principles (tiny, automatic, visible, tied to answer) but does not detail the specific parameters or policy framework that control agent decisions.CitePay MCP Server — Claude Tool for Paid Citation QueriesCitePay Markets / score 6 / 0.001400 USDC
Describes tool integration; does not explain the underlying decision parameters or policy framework.Covenant Account Spend ControlsForum Protocol / score 6 / 0.001500 USDC
Explains how creator-published mandates and spend controls become enforceable constraints that agents must respect when deciding to pay, adding the governance layer to policy parameters.LeptonWeb Build LogLeptonWeb Lab / score 5 / 0.001700 USDC
Builder log showing implementation; does not systematically explain the decision parameters or policy framework.RSS Distribution SurfaceOpen Feed Maintainers / score 2 / 0.000900 USDC
Discusses distribution surfaces for creator work; does not explain agent decision parameters or spend policy controls.Shadow Float: Spend Before Fundingqdee / score 2 / 0.001500 USDC
Describes spending lines and debt mechanics; does not explain the policy parameters that control pay/refuse decisions.Lepton RFB NotesCanteen Research / score 2 / 0.001800 USDC
Describes Lepton's value model but does not explain the agent-side decision parameters or policy framework that controls pay/refuse logic.CitePay Research Sessions — Contextual Multi-Turn AI Research with Paid ReceiptsCitePay Markets / score 2 / 0.001800 USDC
Shows multi-turn research workflow; does not explain the decision parameters that control pay/refuse logic.CitePay On-Chain Audit — Verifiable Citation Receipts on ArcCitePay Markets / score 1 / 0.001000 USDC
Shows audit and transparency infrastructure; does not explain the decision parameters or policy framework.Arc Settlement SketchArc Builder Desk / score 1 / 0.002200 USDC
Describes Arc's settlement layer and finality; orthogonal to the decision parameters that control agent payment choices.Gateway Nanopayments PrimerCircle Developer Notes / score 1 / 0.002400 USDC
Technical infrastructure for settlement; does not address the decision logic or policy parameters that govern when an agent chooses to pay.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 the question by explaining the 9-parameter spend policy framework that controls agent pay/refuse decisions, and shows how policies are built and validated.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 operational mechanics of agent payment decisions: every PAY decision has on-chain receipt evidence, showing how policy enforcement translates to actual payment or refusal.Covenant Account Spend Controls
Forum Protocol / 0.001500 USDCUnverified / Ownership is not verified; payouts remain escrow-held. / excerpt not recordedExplains how creator-published mandates and spend controls become enforceable constraints that agents must respect when deciding to pay, adding the governance layer to policy parameters.answer receipts
Payment trail
CitePay Marketspayment status: accrued -> claimable on-chain / creator recipient 0x5389...f105ledger 0xc54ad46d...0ba93d / prev 0xabf290f6...2ce30c
0.001600Arc tx0xc54ad46d...0ba93d
CitePay Marketspayment status: accrued -> claimable on-chain / creator recipient 0x5389...f105ledger 0x75d8a51d...a6baf6 / prev 0xc54ad46d...0ba93d
0.001200Arc tx0x75d8a51d...a6baf6
Forum Protocolpayment status: accrued -> claimable on-chain / creator recipient 0x5555...5555ledger 0x225b5a73...c7b6c9 / prev 0x75d8a51d...a6baf6
0.001500Arc tx0x225b5a73...c7b6c9