Get index stats

# pip install "pinecone[grpc]"
from pinecone.grpc import PineconeGRPC as Pinecone

pc = Pinecone(api_key="YOUR_API_KEY")

# To get the unique host for an index, 
# see https://docs.pinecone.io/guides/manage-data/target-an-index
index = pc.Index(host="INDEX_HOST")

index.describe_index_stats()

// npm install @pinecone-database/pinecone
import { Pinecone } from '@pinecone-database/pinecone'

const pc = new Pinecone({ apiKey: 'YOUR_API_KEY' })

// To get the unique host for an index, 
// see https://docs.pinecone.io/guides/manage-data/target-an-index
const index = pc.index("INDEX_NAME", "INDEX_HOST")

const stats = await index.describeIndexStats();

import io.pinecone.clients.Index;
import io.pinecone.configs.PineconeConfig;
import io.pinecone.configs.PineconeConnection;
import io.pinecone.proto.DescribeIndexStatsResponse;

public class DescribeIndexStatsExample {
    public static void main(String[] args) {
        PineconeConfig config = new PineconeConfig("YOUR_API_KEY");
        // To get the unique host for an index, 
        // see https://docs.pinecone.io/guides/manage-data/target-an-index
        config.setHost("INDEX_HOST");
        PineconeConnection connection = new PineconeConnection(config);
        Index index = new Index(connection, "INDEX_NAME");
        DescribeIndexStatsResponse indexStatsResponse = index.describeIndexStats();
        System.out.println(indexStatsResponse);
    }
}

package main

import (
    "context"
    "log"

    "github.com/pinecone-io/go-pinecone/v3/pinecone"
)

func main() {
    ctx := context.Background()

    pc, err := pinecone.NewClient(pinecone.NewClientParams{
        ApiKey: "YOUR_API_KEY",
    })
    if err != nil {
        log.Fatalf("Failed to create Client: %v", err)
    }

    // To get the unique host for an index, 
    // see https://docs.pinecone.io/guides/manage-data/target-an-index
    idxConnection, err := pc.Index(pinecone.NewIndexConnParams{Host: "INDEX_HOST"})
    if err != nil {
        log.Fatalf("Failed to create IndexConnection for Host: %v", err)
  	}

    stats, err := idxConnection.DescribeIndexStats(ctx)
    if err != nil {
        log.Fatalf("Failed to describe index \"%v\": %v", idx.Name, err)
    } else {
        fmt.Printf("%+v", *stats)
    }
}

using Pinecone;

var pinecone = new PineconeClient("YOUR_API_KEY");

// To get the unique host for an index, 
// see https://docs.pinecone.io/guides/manage-data/target-an-index
var index = pinecone.Index(host: "INDEX_HOST");

var indexStatsResponse = await index.DescribeIndexStatsAsync(new DescribeIndexStatsRequest());

Console.WriteLine(indexStatsResponse);

# To get the unique host for an index,
# see https://docs.pinecone.io/guides/manage-data/target-an-index
PINECONE_API_KEY="YOUR_API_KEY"
INDEX_HOST="INDEX_HOST"

curl -X POST "https://$INDEX_HOST/describe_index_stats" \
  -H "Api-Key: $PINECONE_API_KEY" \
  -H "X-Pinecone-Api-Version: 2025-01"

{'dimension': 1024,
 'index_fullness': 0,
 'namespaces': {'example-namespace1': {'vector_count': 4}, 'example-namespace2': {'vector_count': 4}},
 'total_vector_count': 8}

Returns:
{
  "namespaces": { "example-namespace1": { "recordCount": 4 }, "example-namespace2": { "recordCount": 4 } },
  "dimension": 1024,
  "indexFullness": 0,
  "totalRecordCount": 8
}

// Note: the value of totalRecordCount is the same as total_vector_count.

namespaces {
  key: "example-namespace1"
  value {
    vector_count: 4
  }
}
namespaces {
  key: "example-namespace2"
  value {
    vector_count: 4
  }
}
dimension: 1024
total_vector_count: 8

{
  "dimension": 1024,
  "index_fullness": 0,
  "total_vector_count": 8,
  "namespaces": {
    "example-namespace1": {
      "vector_count": 4
    },
    "example-namespace2": {
      "vector_count": 4
    }
  }
}

{
  "namespaces": {
    "example-namespace1": {
      "vectorCount": 4
    },
    "example-namespace2": {
      "vectorCount": 4
    }
  },
  "dimension": 1024,
  "indexFullness": 0,
  "totalVectorCount": 8
}

{
  "namespaces": {
    "example-namespace1": {
      "vectorCount": 4
    },
    "example-namespace2": {
      "vectorCount": 4
    }
  },
  "dimension": 1024,
  "indexFullness": 0,
  "totalVectorCount": 8
}