UPupstash
search

Get Index Stats

Retrieves statistics and metrics for a specific search index

get/search/{id}/stats

Request

Path parameters

idstring required

The ID of the search index

Query parameters

period'1h' | '3h' | '12h' | '1d' | '3d' | '7d' | '30d'

Time period for statistics aggregation. Each period returns 60 datapoints with intervals adjusted to the period length.

Exceptionally for 30 days, it returns 240 datapoints with 3-hour intervals for increased granularity.

Response

Statistics for the specified search index retrieved successfully

pending_index_countinteger

Number of pending index operations

current_vector_countinteger

Current number of vectors in the index

daily_query_countinteger

Total number of query operations executed today

daily_update_countinteger

Total number of update operations executed today

monthly_query_countinteger

Total query operations in current month

monthly_update_countinteger

Total update operations in current month

monthly_bandwidth_usageinteger

Total bandwidth used in current month (bytes)

storage_usageinteger

Current storage used (bytes)

monthly_costnumber float

Total cost in current month

daysstring[]

Days of the week for measurement

daily_rerank_countinteger

Total number of rerank operations executed today

monthly_rerank_countinteger

Total rerank operations in current month

Example response

{
  "pending_index_count": 1,
  "current_vector_count": 1000,
  "daily_query_count": 100,
  "daily_update_count": 10,
  "monthly_query_count": 1000,
  "monthly_update_count": 1000,
  "monthly_bandwidth_usage": 7000,
  "storage_usage": 7000,
  "monthly_cost": 0.5,
  "daily_update_requests": [
    {
      "x": "2025-10-19 18:33:05.244068975 +0000 UTC",
      "y": 1
    }
  ],
  "daily_query_requests": [
    {
      "x": "2025-10-19 18:33:05.244068975 +0000 UTC",
      "y": 7
    }
  ],
  "daily_bandwidths": [
    {
      "x": "2025-10-19 18:33:05.244068975 +0000 UTC",
      "y": 7
    }
  ],
  "days": [
    "Sunday",
    "Monday",
    "Tuesday",
    "Wednesday",
    "Thursday"
  ],
  "query_throughput": [
    {
      "x": "2025-10-23 17:34:00.000 +0000 UTC",
      "y": 7
    }
  ],
  "update_throughput": [
    {
      "x": "2025-10-23 17:34:00.000 +0000 UTC",
      "y": 7
    }
  ],
  "query_latency_mean": [
    {
      "x": "2025-10-23 17:34:00.000 +0000 UTC",
      "y": 0
    }
  ],
  "query_latency_99": [
    {
      "x": "2025-10-23 17:34:00.000 +0000 UTC",
      "y": 0
    }
  ],
  "update_latency_mean": [
    {
      "x": "2025-10-23 17:34:00.000 +0000 UTC",
      "y": 0
    }
  ],
  "update_latency_99": [
    {
      "x": "2025-10-23 17:34:00.000 +0000 UTC",
      "y": 0
    }
  ],
  "embeds_latency_mean": [
    {
      "x": "2025-10-23 17:34:00.000 +0000 UTC",
      "y": 0
    }
  ],
  "embeds_latency_99": [
    {
      "x": "2025-10-23 17:34:00.000 +0000 UTC",
      "y": 0
    }
  ],
  "vector_count": [
    {
      "x": "2025-10-23 17:35:00.000 +0000 UTC",
      "y": 2
    }
  ],
  "data_size": [
    {
      "x": "2025-10-23 17:35:00.000 +0000 UTC",
      "y": 76
    }
  ],
  "monthly_rerank_count": 10,
  "daily_rerank_requests": [
    {
      "x": "2025-10-19 18:33:05.244068975 +0000 UTC",
      "y": 1
    }
  ],
  "rerank_latency_mean": [
    {
      "x": "2025-10-23 17:34:00.000 +0000 UTC",
      "y": 0
    }
  ],
  "rerank_latency_99": [
    {
      "x": "2025-10-23 17:34:00.000 +0000 UTC",
      "y": 0
    }
  ]
}

Changes

No recorded changes to this operation across all 3 revisions of this API.