SweetAI — On-chain AI Agent Intelligence
ERC-8004 agent intel, sybil forensics, Trust Gate + should-i-pay decisions, SDKs on PyPI/npm
| Endpoint | https://sweetai.tiamatcrypto.com/mcp (streamable-http) |
|---|---|
| Registry version | 1.3.0 |
| Now | 2 tools · grade A (100) · pin ts_9daea1e73fda624b52b3e0cacf6aa16c · protocol 2025-06-18 |
| First / last listed | 2026-10-25 02:02 UTC / 2026-10-25 02:02 UTC |
| Grade over time | 2026-10-25: A (100), 2 tools |
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Tools: check_base_token_safety should_i_pay
check_base_token_safety | Is this Base token BASED / MID / COOKED / RADIOACTIVE? Deterministic verdict before you buy: grade, action (ENTER_OK / CAUTION / SKIP), confidence, red flags (honeypot, sell tax, mintable supply, owner privileges, holder concentration, thin liquidity) and expected loss for your amount. Call it before swapping into any Base token. Fail-closed: an unknown token returns UNKNOWN, never "safe". Risk sc params: token*, amount_usd |
should_i_pay | Pre-payment decision for any A2A payment: "should I pay agent X $N?". Call it before every payment to an unknown agent — the agent-facing equivalent of a credit check: pay $0.01 to avoid paying a scammer $N. Answers with action PAY / CAUTION / SKIP, confidence and expected loss in USDC sized to your exact amount, backed by on-chain ERC-8004 evidence (feedbacks, sybil forensics, liveness SLA). Mult params: agent_id, solana_asset, amount_usd |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.