> ## Documentation Index
> Fetch the complete documentation index at: https://docs.allium.so/llms.txt
> Use this file to discover all available pages before exploring further.

# Add entries

> Adds values to a dataset. Duplicates are ignored.

Adds values to a dataset. Duplicates are ignored. Changes are reflected immediately in `beam.contains("DATASET_NAME", [input.field1, input.field2])` lookups inside JavaScript transforms — no redeploy needed. See the [Datasets overview](/beam/api-reference/datasets/overview) for the full usage pattern.

**Path parameters:**

| Parameter    | Description |
| :----------- | :---------- |
| `dataset_id` | Dataset ID  |

**Request body:**

```json theme={null}
{
  "values": ["0x3c499c542cef5e3811e1192ce70d8cc03d5c3359", "0xc2132d05d31c914a87c6611c10748aeb04b58e8f"]
}
```

| Field    | Required | Description                   |
| :------- | :------- | :---------------------------- |
| `values` | Yes      | Array of string values to add |

```bash theme={null}
curl -X POST https://api.allium.so/api/v1/beam/datasets/${DATASET_ID}/entries \
  -H "X-API-Key: ${ALLIUM_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{ "values": ["0x3c499c542cef5e3811e1192ce70d8cc03d5c3359"] }'
```

**Response:**

```json theme={null}
{ "count": 1 }
```

## Uploading large datasets

Each request supports up to **250,000 values**. For larger datasets, split into chunks and upload in parallel. We recommend a maximum of **5 concurrent requests** to avoid overloading the database:

```python theme={null}
import asyncio
import httpx

CHUNK_SIZE = 250_000

async def upload_dataset(dataset_id: str, values: list[str], api_key: str):
    chunks = [values[i:i + CHUNK_SIZE] for i in range(0, len(values), CHUNK_SIZE)]
    semaphore = asyncio.Semaphore(5)  # max 5 concurrent requests

    async def upload_chunk(chunk: list[str]):
        async with semaphore:
            await client.post(
                f"https://api.allium.so/api/v1/beam/datasets/{dataset_id}/entries",
                json={"values": chunk},
                headers={"X-API-Key": api_key},
            )

    async with httpx.AsyncClient() as client:
        await asyncio.gather(*[upload_chunk(chunk) for chunk in chunks])
```

<Warning>
  Use **lowercase** values when filtering by addresses — this is how values are normalized in the system.
</Warning>