{"uid":"cap_-wa-Nd0UYv16pQlVz-ays","slug":"freysa-intelligence-security-layer-44dd4054","name":"Freysa Intelligence Security Layer","description":"Security intelligence layer for autonomous agents. On-chain security, token risk analysis, wallet forensics, and transaction simulation. Pay-per-call via x402 on Base.","url":"https://economic-agent-369.freysa.dev/api/llm","method":"GET","headers":{},"bodySchema":{"type":"object","properties":{"prompt":{"type":"string"}}},"responseSchema":{"type":"object","example":{"model":"deepseek","response":"Hello!"}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Yjp0ogu-VbxMKO9PHRI11","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Provides on-chain security intelligence, token risk analysis, wallet forensics, and transaction simulation for autonomous agents via a pay-per-call LLM interface","exampleAgentPrompt":"Before I swap into this token at 0x1234...abcd, can you run a security check on it — look for rug pull signals, contract vulnerabilities, and any suspicious wallet activity linked to it?","exampleUseCases":[{"title":"Token rug pull detection before buy","prompt":"I'm about to buy some of this new token at contract address 0xabc123 — can you check if it's safe, look for honeypot traps, hidden mint functions, or any red flags in the contract before I put money in?"},{"title":"Wallet forensics for counterparty risk","prompt":"I need a forensic check on this wallet 0xdef456 — has it been involved in any exploits, scams, or known hacks? I want to know if I should trust it before sending funds."},{"title":"Pre-execution transaction simulation","prompt":"Can you simulate this transaction for me before I sign it — I want to know what state changes it will cause on-chain and whether there are any security risks or unexpected token approvals I should worry about?"}],"resultDescription":"Returns a natural language security intelligence report generated by the DeepSeek model, covering requested on-chain security assessments such as token risk scores, wallet activity flags, contract vulnerability findings, or transaction simulation outcomes.","failureModes":["Insufficient USDC balance or failed x402 payment results in 402 Payment Required response","Ambiguous or incomplete prompt may yield generic or unhelpful security analysis","Token or wallet address not found on-chain returns no data or inconclusive result","Rate limiting or service unavailability returns 429 or 5xx errors","Novel scam vectors not in training data may be missed by the underlying model"],"whenToPreferThis":"Choose this endpoint when an AI agent needs real-time on-chain security intelligence before executing crypto transactions, evaluating unknown tokens, or interacting with unfamiliar wallets. It is particularly valuable for DeFi agents that need pre-trade risk checks, automated portfolio managers screening new assets, or any agent workflow where blockchain security validation is a prerequisite step. Prefer it over generic LLMs because it is specifically prompted and tuned for web3 security use cases with on-chain context.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T06:38:56.445Z","isFirstParty":false}