Tuatara Embed Stocks
Stock-symbol vectors: which listed symbols an event, theme or headline moves, ranked in one call.
¿Debería usar esto?
Calidad y seguridad
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"tuatara-embed-stocks": {
"url": "https://cymetica.com/mcp/v1/stock-vectors"
}
}
}Puntos de conexión remotos
https://cymetica.com/mcp/v1/stock-vectorsstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (1)
🟢stock_vectors(input, encoding_format, similarity_to_first)
Tuatara Embed Stocks: vector embeddings of listed stock symbols and of text in one space, built for the connections a sector label does not carry — which symbols an event, theme or headline moves, including companies it never names. Send sym:TICKER (e.g. sym:AAPL) for a symbol's own vector, or any text (a headline, a theme). With similarity_to_first=true the answer ranks inputs 2..n by cosine to input 1, so 'headline + candidate symbols in, ranked basket out' is one call. 4,096 dimensions, unit length. Up to 64 inputs per call; no account needed; nothing is stored.
Esquema de entrada
{
"type": "object",
"properties": {
"input": {
"type": "array",
"description": "list of texts to embed: sym:TICKER for a listed symbol's own vector, anything else is embedded as text; at most 64"
},
"encoding_format": {
"type": "string",
"description": "base64 (default, float32 little-endian) or float (4,096 numbers)"
},
"similarity_to_first": {
"type": "boolean",
"description": "also return every other input's cosine to the first input, ranked (e.g. first = the headline, the rest = candidate symbols)"
}
},
"required": [
"input"
]
}Comunidad
Evidencia