# deposit

Send a transparent `deposit(...)` transaction to the deposit contract.

## Signatures

```python
# sync
w3.seismic.deposit(
    *,
    node_pubkey: bytes,
    consensus_pubkey: bytes,
    withdrawal_credentials: bytes,
    node_signature: bytes,
    consensus_signature: bytes,
    deposit_data_root: bytes,
    value: int,
    address: str = DEPOSIT_CONTRACT_ADDRESS,
) -> HexBytes

# async
await w3.seismic.deposit(...same args...) -> HexBytes
```

## Required byte lengths

| Parameter                | Length |
| ------------------------ | ------ |
| `node_pubkey`            | 32     |
| `consensus_pubkey`       | 48     |
| `withdrawal_credentials` | 32     |
| `node_signature`         | 64     |
| `consensus_signature`    | 96     |
| `deposit_data_root`      | 32     |

`ValueError` is raised on length mismatch.

## Example

```python
tx_hash = w3.seismic.deposit(
    node_pubkey=node_pubkey,
    consensus_pubkey=consensus_pubkey,
    withdrawal_credentials=withdrawal_credentials,
    node_signature=node_signature,
    consensus_signature=consensus_signature,
    deposit_data_root=deposit_data_root,
    value=32 * 10**18,
)
```

## Notes

* Uses transparent `eth_sendTransaction` semantics — deposit data is public, not shielded
* `value` is deposit amount in wei (typically `32 * 10**18` for a full validator)
* All parameters are keyword-only to prevent mix-ups between the many `bytes` arguments

## See Also

* [get\_deposit\_count](/clients/python/namespaces/methods/get-deposit-count.md) — Read total deposits
* [get\_deposit\_root](/clients/python/namespaces/methods/get-deposit-root.md) — Read deposit Merkle root


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.seismic.systems/clients/python/namespaces/methods/deposit.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.