## Estimate cost for an ADME prediction

`predictions.adme.estimate_cost(AdmeEstimateCostParams**kwargs)  -> AdmeEstimateCostResponse`

**post** `/compute/v1/predictions/adme/estimate-cost`

Estimate the cost of an ADME prediction without creating any resource or consuming GPU.

### Parameters

- `input: Input`

  - `molecules: Iterable[InputMolecule]`

    Molecules to score (1-128 per request). Results are returned in the same order as this list.

    - `smiles: str`

      SMILES string of the molecule to predict ADME properties for.

    - `id: Optional[str]`

      Optional client-provided identifier. Returned as `external_id` in the matching output item.

- `model: Literal["adme-v1"]`

  Model to use for prediction

  - `"adme-v1"`

- `idempotency_key: Optional[str]`

  Client-provided key to prevent duplicate submissions on retries

- `workspace_id: Optional[str]`

  Target workspace ID (admin keys only; ignored for workspace keys)

### Returns

- `class AdmeEstimateCostResponse: …`

  Estimate response with monetary values encoded as decimal strings to preserve precision.

  - `breakdown: Breakdown`

    Cost breakdown for the billed application.

    - `application: Literal["structure_and_binding", "small_molecule_design", "small_molecule_library_screen", 4 more]`

      - `"structure_and_binding"`

      - `"small_molecule_design"`

      - `"small_molecule_library_screen"`

      - `"protein_design"`

      - `"protein_redesign"`

      - `"protein_library_screen"`

      - `"adme"`

    - `cost_per_unit_usd: str`

      Estimated cost per displayed unit as a decimal string, rounded up to 4 decimal places. This may include token-size multipliers or generation overhead; estimated_cost_usd is the authoritative total.

    - `num_units: int`

      Number of billable units in the estimate. The unit depends on the endpoint: samples for structure-and-binding, molecules for ADME, and requested proteins or molecules for design/screen endpoints.

  - `disclaimer: str`

  - `estimated_cost_usd: str`

    Estimated total cost as a decimal string

### Example

```python
import os
from boltz_api import Boltz

client = Boltz(
    api_key=os.environ.get("BOLTZ_API_KEY"),  # This is the default and can be omitted
)
response = client.predictions.adme.estimate_cost(
    input={
        "molecules": [{
            "smiles": "x"
        }]
    },
    model="adme-v1",
)
print(response.breakdown)
```

#### Response

```json
{
  "breakdown": {
    "application": "structure_and_binding",
    "cost_per_unit_usd": "0.0500",
    "num_units": 1
  },
  "disclaimer": "This is an estimate only and may differ from your actual charges. Final billing is based on exact token counts computed at run time. For large library screens, the estimate is extrapolated from a sample and may be less accurate for highly variable inputs.",
  "estimated_cost_usd": "0.0500"
}
```