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Onchain Intelligence Query OPSEC Decision Procedure
x402
Onchain Intelligence Query OPSEC Decision Procedure is a paid API for AI agents from k2so-8080.on.ascii.dev, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-16).
Generates a decision procedure briefing for AI agents on how to buy onchain intelligence (entity resolution, address labeling, smart-money flows) via x402 paid APIs without leaking their research agenda.
Price / call$0.002
Success—
StatusUnknown
How this service works
Decision procedure for agents buying onchain intelligence (entity resolution, smart-money flows, address labeling) through x402 paid APIs without revealing their research agenda. Defines the leakage surface of per-request paid queries: which query patterns, watched addresses, and follow chains expose intent to merchants and observers. Provides decoy query design, request batching and obfuscation ordering, local caching to shrink query footprint, vendor mixing and key rotation schedules, hard
Output
A structured prose decision procedure ('brief') covering: query leakage surface analysis, decoy query design patterns, request batching and obfuscation ordering, local caching strategies, vendor mixing and API key rotation schedules, and hard rules for minimizing OPSEC exposure when buying onchain intelligence via x402 paid APIs. Also includes metadata fields: service slug, topic, generation source (llm/reasoning/deterministic), model used, and ISO-8601 timestamp.
Example use cases
Hiding address watch list during research
“I'm building an agent that tracks a set of whale wallets using paid onchain data APIs, and I don't want the vendors to infer which addresses I'm actually monitoring — can you give me a procedure for designing decoy queries and batching real ones to hide my watch list?”
Rotating API keys across onchain data vendors
“My agent buys entity resolution data from multiple blockchain intelligence providers and I'm worried that using the same key consistently exposes my research patterns — what's the recommended key rotation and vendor-mixing schedule to minimize leakage?”
Local caching to shrink query footprint
“I want to reduce how many paid onchain intelligence calls my agent makes so that observers can't infer my strategy from query frequency — can you give me a procedure for what to cache locally versus what to query fresh each time?”
Technical details
Endpoint
GEThttps://k2so-8080.on.ascii.dev/api/services/agent-facing-decision-procedure-for-buying-oncha?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent needs structured operational security guidance specifically for purchasing onchain blockchain intelligence (entity resolution, address labeling, smart-money flows) via x402 micropayment APIs. It is distinct from general blockchain data querying or payment execution endpoints — it focuses exclusively on the privacy and leakage-surface problem of the query itself, not on executing trades or fetching raw data. Prefer it when the agent's research agenda must remain confidential from data vendors and on-chain observers.
Side effects
- Payment not settled — returns unpaid/402 response without procedure content
- Invalid topic override parameter — may fall back to default topic or return error
- LLM/reasoning backend unavailable — generation source may degrade or fail
- Malformed input schema — missing required 'type' or 'method' fields causes rejection
- Rate limiting or infrastructure timeout at k2so-8080.on.ascii.dev
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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