## Get Verify Job Details

`alpha.verify.get_details(strjob_id, VerifyGetDetailsParams**kwargs)  -> VerifyGetDetailsResponse`

**get** `/api/alpha/verify/{job_id}/details`

Get the raw per-signal detail for a completed Verify job.

Forensic drill-down behind the simplified result: the full evidence
list, per-family sub-scores, raw localized regions, and per-page
forensic heatmap overlays (presigned image URLs).

### Parameters

- `job_id: str`

- `organization_id: Optional[str]`

- `project_id: Optional[str]`

### Returns

- `class VerifyGetDetailsResponse: …`

  Raw per-signal detail for a completed Verify job.

  Forensic drill-down behind the simplified result: the full evidence list,
  per-family sub-scores, raw localized regions, and heatmap overlays.

  - `job_id: str`

    ID of the Verify job

  - `degraded_tools: Optional[List[DegradedTool]]`

    Checks that could not run on this job (with the reason). A check listed here produced no findings because it could not run, not because the document is clean

    - `tool: str`

      Name of the check

    - `reason: Optional[str]`

      Why the check could not run

  - `evidence: Optional[List[Evidence]]`

    Evidence items produced by detection tools

    - `code: str`

      Machine-readable evidence code

    - `detail: str`

      Human-readable evidence detail

    - `family: str`

      Signal family (e.g. metadata, splicing, compression)

    - `score: float`

      Evidence strength score

    - `tool: str`

      Tool that produced this evidence

    - `hard: Optional[bool]`

      Whether this is hard (conclusive) evidence

    - `metadata_tool: Optional[Dict[str, object]]`

      Raw values from the tool behind this finding; the shape varies by tool

  - `heatmaps: Optional[List[Heatmap]]`

    Per-page forensic heatmap overlays as presigned image URLs

    - `expires_at: datetime`

      The time at which the presigned URL expires

    - `kind: str`

      Producing signal, e.g. double_compression, ela, noise

    - `page: int`

      0-based page index (0 for standalone images)

    - `url: str`

      Presigned URL to the heatmap PNG (page overlay)

    - `score: Optional[float]`

      Producing tool's max score (for ranking)

  - `page_dimensions: Optional[List[PageDimension]]`

    Rendered pixel size per page, so region bboxes can be scaled onto the page

    - `height: int`

      Rendered page height in pixels

    - `page: int`

      0-based page index (0 for standalone images)

    - `width: int`

      Rendered page width in pixels

  - `regions: Optional[List[Region]]`

    Suspicious regions localized on rendered pages

    - `bbox: List[int]`

      Region bounding box as [x, y, w, h] in page-render pixels

    - `detail: str`

      Human-readable detail about the region

    - `kind: str`

      Kind of anomaly detected in this region

    - `page: int`

      0-based page index (0 for standalone images)

    - `score: float`

      Region-level doctoring likelihood score

    - `source: str`

      Detector/tool that produced this region

    - `primary: Optional[bool]`

      Whether this region is part of the small set of decisive evidence behind the verdict — the boxes a reviewer should look at first

    - `review: Optional[str]`

      Review status/verdict for this region

    - `review_note: Optional[str]`

      Free-form review note for this region

  - `sub_scores: Optional[Dict[str, float]]`

    Per-family scores (metadata, ai_generation, splicing, copy_move, compression, noise, coherence, pdf_structure)

### Example

```python
import os
from llama_cloud import LlamaCloud

client = LlamaCloud(
    api_key=os.environ.get("LLAMA_CLOUD_API_KEY"),  # This is the default and can be omitted
)
response = client.alpha.verify.get_details(
    job_id="job_id",
)
print(response.job_id)
```

#### Response

```json
{
  "job_id": "job_id",
  "degraded_tools": [
    {
      "tool": "tool",
      "reason": "reason"
    }
  ],
  "evidence": [
    {
      "code": "code",
      "detail": "detail",
      "family": "family",
      "score": 0,
      "tool": "tool",
      "hard": true,
      "metadata_tool": {
        "foo": "bar"
      }
    }
  ],
  "heatmaps": [
    {
      "expires_at": "2019-12-27T18:11:19.117Z",
      "kind": "kind",
      "page": 0,
      "url": "url",
      "score": 0
    }
  ],
  "page_dimensions": [
    {
      "height": 0,
      "page": 0,
      "width": 0
    }
  ],
  "regions": [
    {
      "bbox": [
        0,
        0,
        0,
        0
      ],
      "detail": "detail",
      "kind": "kind",
      "page": 0,
      "score": 0,
      "source": "source",
      "primary": true,
      "review": "review",
      "review_note": "review_note"
    }
  ],
  "sub_scores": {
    "foo": 0
  }
}
```