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Retrieve analysis results for a completed batch. Optionally filter events by approval status (approved, rejected, pending, or invalid), or return event-level CSV. 
# Get all results from a batch
batch_results = client.get_batch_analysis("batch_id")

# Filter for only approved events
approved_only = client.get_batch_analysis(
    "batch_id",
    filter="approved"
)

# Filter for multiple statuses
pending_and_rejected = client.get_batch_analysis(
    "batch_id",
    filter=["pending", "rejected"]
)

# Return event-level CSV instead of JSON
csv_text = client.get_batch_analysis("batch_id", as_csv=True)

# Filter + CSV (only approved events are included)
approved_csv = client.get_batch_analysis(
    "batch_id",
    filter="approved",
    as_csv=True
)

# Save CSV to disk
with open("batch-results-approved.csv", "w", encoding="utf-8", newline="") as f:
    f.write(approved_csv)

# Access batch metadata
print(batch_results["batch_metadata"]["batch_type"])
print(batch_results["batch_metadata"]["batch_viewer_url"])

# Iterate through video results
for result in batch_results["results"]:
    print(f"Video: {result['video_id']}")
    print(f"Events: {len(result['events'])}")
    for event in result["events"]:
        print(f"  - {event.get('label', '')} at {event.get('t_start', '')}-{event.get('t_end', '')}")
Required Parameters:
ParameterTypeDescription
batch_idstrID of the batch to retrieve (required)
Optional Parameters:
ParameterTypeDefaultDescription
filterstr | List[str]NoneFilter events by approval status. Valid values: 'approved', 'rejected', 'pending', 'invalid'. If omitted, returns all events for all videos (including videos with zero events). If provided, only matching events are returned and videos with zero matching events are excluded.
as_csvboolFalseIf True, returns CSV text instead of JSON. CSV is event-level (one row per event) and does not emit placeholder rows for videos with zero events.
Returns (as_csv=False, default): Dict with two keys:
  • batch_metadata: Contains batch information
    • batch_id: The batch identifier
    • batch_viewer_url: URL to view batch results in the web UI
    • batch_type: Internal batch category. Prompt-analysis batches may currently appear as legacy "ask".
    • analysis_type: Internal analysis label used by the backend
    • review_status: Whether the batch analysis have been fully reviewed by someone
    • review_status_updated_at: Time the batch analysis review status was updated, N/A if not reviewed yet.
    • metadata: Dictionary of custom metadata key-value pairs (empty dict if no metadata exists)
    • Configuration details (for prompt batches: prompt, category, etc.)
  • results: List of per-video analysis dictionaries
    • video_id: ID of the video
    • analysis_id: ID of the analysis
    • mode: Analysis mode used
    • status: Analysis status
    • events: List of detected events (filtered by approval status if specified)
    • Additional fields depending on analysis type
Returns (as_csv=True): str (CSV text)
  • Header row is always included.
  • Rows are event-level (one row per event).
  • Current CSV columns:
    • Query
    • Video
    • Approval Status
    • Timestamp
    • Category
    • Label
    • AI Analysis
    • Severity
    • Video ID
    • Analysis ID
    • Batch ID
    • Batch Viewer URL
    • Status
    • Confidence
    • Import Source URI
    • Summary
Raises:
  • NomadicMLError: If batch is not completed or other API errors occur
  • ValidationError: If filter contains invalid values
The batch must be completed before you can retrieve its results. If you need to check batch status first, use the batch viewer URL.