Langfuse Cloud Cost Marts

Use this reference when querying or explaining Langfuse Cloud cost structure.

Dashboard:

• https://langfuse.metabaseapp.com/dashboard/22-infra-cost?account=&date=past90days&tab=20-tab-1

Primary Tables

Prefer table 739 for structural breakdowns. Prefer table 784 for daily headline totals.

Field IDs

mart_daily_cost_chart (739)

mart_daily_cost_with_events (784)

Metabase MCP Patterns

The Metabase MCP supports query for direct reads and construct_query plus execute_query for reusable opaque queries. In practice, pass filters, aggregations, group_by, and fields as JSON arrays:

{
  "table_id": 739,
  "filters": [
    {
      "field_id": "t739-0",
      "operation": "greater-than-or-equal",
      "value": "2026-05-09"
    }
  ],
  "aggregations": [
    {
      "function": "sum",
      "field_id": "t739-6"
    }
  ],
  "group_by": [
    { "field_id": "t739-1" },
    { "field_id": "t739-2" }
  ],
  "limit": "200"
}

If a tool surface insists on strings for those parameters, serialize the same arrays as JSON strings.

Common Breakdowns

Provider split:

• Table 739
• Aggregate sum(t739-6)
• Group by t739-1

Service split:

• Table 739
• Aggregate sum(t739-6)
• Group by t739-1, t739-2

Usage type split:

• Table 739
• Aggregate sum(t739-6)
• Group by t739-1, t739-4

Environment/account split:

• Table 739
• Aggregate sum(t739-6)
• Group by t739-1, t739-5

Daily headline totals:

• Table 784
• Filter t784-0 by date.
• Read total_cost_usd, clickhouse_cost_usd, aws_cost_usd, total_tracing_events, and total_cost_per_100k_events.

Daily trend by provider:

• Table 739
• Aggregate sum(t739-6)
• Group by t739-0, t739-1

Drilldown sequence for a cost spike:

1. Compare total daily cost in table 784.
2. Split the same days by provider in table 739.
3. Split the dominant provider by service.
4. Split the dominant service by usage type, operation, and account.

Caveats

• Current-day AWS cost can be incomplete because AWS CUR data may not have landed yet.
• For stable recent analysis, prefer the last complete UTC days rather than including today.
• ClickHouse cost rows are labeled cost_usd in the unified mart, but the source metric is ClickHouse credits. Mention this when precision or billing interpretation matters.
• Field IDs can change if Metabase models are rebuilt. If a query fails, search Metabase for the table name and inspect the returned metadata before changing the analysis.