waveguard multi horizon outlook

Compute horizon-specific anomaly outlook and consistency across windows.

liveverifiedunknown~5s typical

mcpprobedwaveguard

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-com-emergentphysicslab-waveguard /waveguard_multi_horizon_outlook for me.

Input

Field	Type	Description
training*	array	2+ baseline normal samples used to establish reference behavior.
sequence*	array	Ordered sample sequence used for multi-horizon outlook analysis.
horizons*	array	List of horizon lengths (in sequence steps) to evaluate.
encoder_type	string	Optional encoder override. Omit to auto-detect.
sensitivity	number	Anomaly sensitivity multiplier (default: 1.0).
field_level	integer (0 \| 1)	0 = real scalar field, 1 = complex field.

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-com-emergentphysicslab-waveguard","endpoint":"/waveguard_multi_horizon_outlook","input":{"training":[],"sequence":[],"horizons":[]}}'

cli

npx cracked-ai run -p mcp-com-emergentphysicslab-waveguard -e /waveguard_multi_horizon_outlook -i '{"training":[],"sequence":[],"horizons":[]}'

mcp

run_tool({ provider: "mcp-com-emergentphysicslab-waveguard", endpoint: "/waveguard_multi_horizon_outlook", input: {"training":[],"sequence":[],"horizons":[]} })

Try it

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