All projects matching “reasoning”

Start here ($0.01): one call bundles risk + deployer + holders + trade simulation into a buy/watch/avoid verdict with reasons, key numbers and heuristic sizing; any Dexscreener chain (base proven).

Fresh Solana alpha: up to 10 brand-new tokens MOSN screened in the last 5-120 minutes (default 30) that PASSED its rug/scam check, real-wallet holder check and buy/sell-flow filters — with MOSN AI verdict, confidence and reason, plus live price/liquidity/flow now.

Safely follow bounded public HTTP redirects and compare the final URL with the expected target; return a deterministic verdict and reason code.

Screen a crypto address before paying it: OFAC sanctions + community scam/darklists + on-chain contract/EOA. Returns verdict (safe/caution/avoid), 0-100 score, reasons, sources.

OpenAI-compatible LLM inference, paid per call. POST a standard chat completion body with an x402 payment and the response is the completion itself; the API key and remaining balance come back in headers, so the next call can skip payment. Serves MiniMax language models: MiniMax-M3 for long-context reasoning with a 1,048,576-token window, and MiniMax-M2.7 for general chat, agent loops and coding.

BotCheck — Per-request traffic-integrity classification. POST JSON {headers:{...}, signals:{...}} -> deterministic {verdict:human|agent|bot|unknown, confidence:0-100, signals:[{name,value,weight,reason}], classification_version:"1.0"}.

Qwen3.8 Flash-Next: low-latency chat, tools, reasoning and JSON output.

One verdict on a concrete order before it is sent: effective price, slippage in bps and in USD, how much of the visible book the order eats, and the largest size that still fits your slippage budget. Walks the live order book level by level (you never download the book) and answers ok / ajustado / riesgo with the reasons. Use it to size an order, to compare venues, or before quoting a fill.

Put one question to a panel of 3 different AI models and get a single verdict back. Each model answers independently, then a chair synthesizes: verdict, confidence, the points they all agreed on, the dissent, and what would flip the answer. Use it for judgement calls where one model's opinion is not enough: is this safe, is this worth it, which option. No account, no API key, one USDC micropayment