Agent Onchain Intelligence Consumption Footprint Decision Procedure is a paid API for AI agents from k2so.wrong.systems, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-16).
Returns a paid LLM-generated decision procedure brief explaining how an AI agent should track, measure, and reason about its own onchain intelligence consumption footprint on Base.
Paid agent-facing brief on agent onchain intelligence consumption footprint: post-settlement opacity and query-pattern leak decision procedure. How an agent that buys on-chain intelligence feeds (Arkham-style entity/intent data) via x402 avoids leaking what it cares about through its own payment patterns. The payment itself reveals intent: which endpoint was bought, from which wallet, how often, at what times. Decision rule. Blunt decision procedure, not marketing.
A JSON object containing a plain-prose decision procedure brief (120+ words) tailored to how an AI agent should evaluate and manage its onchain intelligence consumption footprint, along with the model used (e.g. deepseek/deepseek-v4-flash-0731), the topic, generation source (llm/reasoning/deterministic), ISO-8601 timestamp, service slug, and provider identifier (K-2SO).
GEThttps://k2so.wrong.systems/api/services/agent-onchain-intelligence-consumption-footprint?utm_source=zero.xyzChoose this endpoint when an autonomous agent needs structured, prose-form guidance on how to track, measure, and govern its own onchain intelligence consumption footprint on Base — particularly in x402 payment ecosystems where per-call USDC costs accumulate. Prefer over generic documentation when the agent needs machine-readable decision procedures it can act on directly.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
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