Consolidate memories (checkout)

Use this when the user asks to consolidate, reflect on, or organize their memories, or when memory_status or a search result reports that consolidation is avail

liveunknown~5s typical

mcpmemoryrouter

$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-ai-memoryrouter-memoryrouter /consolidate_memories for me.

Input

Field	Type	Description
tier	integer (1 \| 2)	1 consolidates raw memories into reflections; 2 consolidates reflections into high-level r default 1
max_tokens	integer	Token budget for the checked-out batch. Defaults to 50000. No connector-side cap. default 50000

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-ai-memoryrouter-memoryrouter","endpoint":"/consolidate_memories","input":{"tier":1,"max_tokens":50000}}'

cli

npx cracked-ai run -p mcp-ai-memoryrouter-memoryrouter -e /consolidate_memories -i '{"tier":1,"max_tokens":50000}'

mcp

run_tool({ provider: "mcp-ai-memoryrouter-memoryrouter", endpoint: "/consolidate_memories", input: {"tier":1,"max_tokens":50000} })

Try it

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