算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
sentiment-analyzer【设计与创意】Analyze sentiment in any text — reviews, social posts, feedback, or articles. Returns sentiment polarity (positive, negative, neutral), confidence score, and key phrases driving the sentiment. Useful for brand monitoring, customer feedback analysis, and content evaluation.
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Analyze sentiment in any text — reviews, social posts, feedback, or articles. Returns sentiment polarity (positive, negative, neutral), confidence score, and key phrases driving the sentiment. Useful for brand monitoring, customer feedback analysis, and content evaluation. Read the API map before selecting a capability.
Use the capability identifiers below as discovery hints, not MCP tool names. Find the matching endpoint with sandbase_discover(q: "<provider and capability>"); use its returned name in sandbase_inspect(name: "<returned name>"). Read inputSchema, pricing, and execute_as, then call sandbase_run using execute_as.arguments.name and schema-defined arguments. If a run_id is returned, poll sandbase_run_get(run_id: "<returned run_id>") within the task budget until completed or failed; report pending or failed runs without resubmitting them automatically.
strale_sentiment_analyzesandbase_discover, then inspect the returned name with sandbase_inspect to confirm the schema and pricing.execute_as with sandbase_run; collect async results with sandbase_run_get as described above.sandbase_inspect before using any capability.