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).
Get Verify Job Details
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){
"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
}
}Returns Examples
{
"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
}
}Note for AI agents: this documentation is built for programmatic access.
- Overview of all docs: https://developers.llamaindex.ai/llms.txt
- Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md
- Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters.
- A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/for-agents/mcp/
- Other LlamaIndex tooling for agents — the LlamaParse Platform MCP server, agent skills and plugins, and the n8n node — is mapped at https://developers.llamaindex.ai/for-agents/