## Cancel Verify Job `client.Alpha.Verify.Cancel(ctx, jobID, body) (*AlphaVerifyCancelResponse, error)` **post** `/api/alpha/verify/{job_id}/cancel` Cancel a running Verify job. Stops processing and marks the job as CANCELLED. Returns the updated job. Jobs already in a terminal state (COMPLETED, FAILED, CANCELLED) cannot be cancelled. ### Parameters - `jobID string` - `body AlphaVerifyCancelParams` - `OrganizationID param.Field[string]` - `ProjectID param.Field[string]` ### Returns - `type AlphaVerifyCancelResponse struct{…}` Response for a Verify job. - `ID string` Unique identifier - `Configuration AlphaVerifyCancelResponseConfiguration` Verify configuration used for this job - `TargetPages string` Comma-separated page numbers or ranges to analyze (1-based). Omit to analyze all pages. Ignored for non-PDF inputs. - `Tier string` Verify tier: 'fast' runs only the quick deterministic forensic checks (metadata, content integrity, container structure, pixel statistics); 'agentic' (default) runs the full pipeline including the learned detectors and the semantic review pass. - `const AlphaVerifyCancelResponseConfigurationTierAgentic AlphaVerifyCancelResponseConfigurationTier = "agentic"` - `const AlphaVerifyCancelResponseConfigurationTierFast AlphaVerifyCancelResponseConfigurationTier = "fast"` - `DocumentInputType AlphaVerifyCancelResponseDocumentInputType` Type of the document input (FILE) - `const AlphaVerifyCancelResponseDocumentInputTypeFileID AlphaVerifyCancelResponseDocumentInputType = "file_id"` - `const AlphaVerifyCancelResponseDocumentInputTypeParseJobID AlphaVerifyCancelResponseDocumentInputType = "parse_job_id"` - `const AlphaVerifyCancelResponseDocumentInputTypeURL AlphaVerifyCancelResponseDocumentInputType = "url"` - `FileInput string` ID of the input file - `ProjectID string` Project this job belongs to - `Status AlphaVerifyCancelResponseStatus` Current job status: PENDING, RUNNING, COMPLETED, FAILED, or CANCELLED - `const AlphaVerifyCancelResponseStatusCancelled AlphaVerifyCancelResponseStatus = "CANCELLED"` - `const AlphaVerifyCancelResponseStatusCompleted AlphaVerifyCancelResponseStatus = "COMPLETED"` - `const AlphaVerifyCancelResponseStatusFailed AlphaVerifyCancelResponseStatus = "FAILED"` - `const AlphaVerifyCancelResponseStatusPending AlphaVerifyCancelResponseStatus = "PENDING"` - `const AlphaVerifyCancelResponseStatusRunning AlphaVerifyCancelResponseStatus = "RUNNING"` - `UserID string` User who created this job - `CreatedAt Time` Creation datetime - `ErrorMessage string` Error message if job failed - `Result AlphaVerifyCancelResponseResult` Result of a Verify (doctored-document) analysis. Raw per-signal detail (evidence list, per-family sub-scores, raw regions, forensic heatmaps) is available separately via the job's details endpoint. - `DetectorVersion string` Version of the detector that produced the result - `OverallScore float64` Overall doctoring likelihood (0 to 1) - `Verdict string` Overall verdict for the document - `const AlphaVerifyCancelResponseResultVerdictAuthentic AlphaVerifyCancelResponseResultVerdict = "AUTHENTIC"` - `const AlphaVerifyCancelResponseResultVerdictDoctored AlphaVerifyCancelResponseResultVerdict = "DOCTORED"` - `const AlphaVerifyCancelResponseResultVerdictLikelyDoctored AlphaVerifyCancelResponseResultVerdict = "LIKELY_DOCTORED"` - `const AlphaVerifyCancelResponseResultVerdictNoStrongSignal AlphaVerifyCancelResponseResultVerdict = "NO_STRONG_SIGNAL"` - `const AlphaVerifyCancelResponseResultVerdictSuspicious AlphaVerifyCancelResponseResultVerdict = "SUSPICIOUS"` - `CompositeScores AlphaVerifyCancelResponseResultCompositeScores` Composite scores, each answering one question about the document - `AIGenerated AlphaVerifyCancelResponseResultCompositeScoresAIGenerated` Was this content synthesized by a generative model? - `Applicable bool` Whether the checks feeding this composite ran on this document. When false the document was not checked for this — not cleared of it - `Score float64` Score (0 to 1); null when the composite was not applicable - `DocumentCoherence AlphaVerifyCancelResponseResultCompositeScoresDocumentCoherence` Does the document's content agree with itself (checksums, arithmetic, machine-readable zones)? - `Applicable bool` Whether the checks feeding this composite ran on this document. When false the document was not checked for this — not cleared of it - `Score float64` Score (0 to 1); null when the composite was not applicable - `DocumentMetadata AlphaVerifyCancelResponseResultCompositeScoresDocumentMetadata` Does the file's provenance / toolchain history look suspicious? Advisory: individually weak workflow-hygiene signals - `Applicable bool` Whether the checks feeding this composite ran on this document. When false the document was not checked for this — not cleared of it - `Score float64` Score (0 to 1); null when the composite was not applicable - `KnownFraud AlphaVerifyCancelResponseResultCompositeScoresKnownFraud` Has this asset (or its template) been seen in fraud before? - `Applicable bool` Whether the checks feeding this composite ran on this document. When false the document was not checked for this — not cleared of it - `Score float64` Score (0 to 1); null when the composite was not applicable - `ManuallyEdited AlphaVerifyCancelResponseResultCompositeScoresManuallyEdited` Was this document altered after creation (splice, retype, redact, inpaint)? - `Applicable bool` Whether the checks feeding this composite ran on this document. When false the document was not checked for this — not cleared of it - `Score float64` Score (0 to 1); null when the composite was not applicable - `Recapture AlphaVerifyCancelResponseResultCompositeScoresRecapture` Was the document captured through a channel that destroys forensic evidence (photo of a screen, print-then-rescan)? - `Applicable bool` Whether the checks feeding this composite ran on this document. When false the document was not checked for this — not cleared of it - `Score float64` Score (0 to 1); null when the composite was not applicable - `Confidence float64` Confidence in the verdict (0 to 1): how firmly the detected signals support the verdict bucket, independent of the doctoring likelihood itself - `Error string` Error detail when the analysis could not complete - `PageCount int64` Number of analysed pages (1 for images/docx) - `PageDimensions []AlphaVerifyCancelResponseResultPageDimension` Rendered pixel size per page, so region bboxes can be scaled onto the page - `Height int64` Rendered page height in pixels - `Page int64` 0-based page index (0 for standalone images) - `Width int64` Rendered page width in pixels - `Reasoning string` Explanation of the verdict - `SuspectRegions []AlphaVerifyCancelResponseResultSuspectRegion` Regions that led to the suspected fraud, ranked most-suspect first, each with an explanation of what makes it suspect - `Bbox []int64` Region bounding box as [x, y, w, h] in page-render pixels - `Explanation string` Human-readable explanation of what makes this region suspect - `Kind string` Kind of anomaly detected in this region - `Page int64` 0-based page index (0 for standalone images) - `Score float64` Suspicion score for this region (0 to 1) - `Source string` Detector that flagged this region - `Primary 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 string` Automated reviewer verdict for this region (confirmed, dismissed, unsure, or empty). A dismissed region can still be surfaced when it is the only place to look; this label says how to read it - `SyntheticScore float64` Likelihood (0 to 1) that the document is wholly generated or fabricated rather than a capture of a real document. Null for jobs completed before this score was introduced - `TamperingScore float64` Likelihood (0 to 1) that a real captured document was locally edited — a genuine capture with regions altered after the fact. Null for jobs completed before this score was introduced - `TransactionID string` Idempotency key - `UpdatedAt Time` Update datetime ### Example ```go package main import ( "context" "fmt" "github.com/run-llama/llama-parse-go" "github.com/run-llama/llama-parse-go/option" ) func main() { client := llamacloud.NewClient( option.WithAPIKey("My API Key"), ) response, err := client.Alpha.Verify.Cancel( context.TODO(), "job_id", llamacloud.AlphaVerifyCancelParams{ }, ) if err != nil { panic(err.Error()) } fmt.Printf("%+v\n", response.ID) } ``` #### Response ```json { "id": "id", "configuration": { "target_pages": "1,3,5-7", "tier": "agentic" }, "document_input_type": "file_id", "file_input": "file_input", "project_id": "project_id", "status": "CANCELLED", "user_id": "user_id", "created_at": "2019-12-27T18:11:19.117Z", "error_message": "error_message", "result": { "detector_version": "detector_version", "overall_score": 0, "verdict": "AUTHENTIC", "composite_scores": { "ai_generated": { "applicable": true, "score": 0 }, "document_coherence": { "applicable": true, "score": 0 }, "document_metadata": { "applicable": true, "score": 0 }, "known_fraud": { "applicable": true, "score": 0 }, "manually_edited": { "applicable": true, "score": 0 }, "recapture": { "applicable": true, "score": 0 } }, "confidence": 0, "error": "error", "page_count": 1, "page_dimensions": [ { "height": 0, "page": 0, "width": 0 } ], "reasoning": "reasoning", "suspect_regions": [ { "bbox": [ 0, 0, 0, 0 ], "explanation": "explanation", "kind": "kind", "page": 0, "score": 0, "source": "source", "primary": true, "review": "review" } ], "synthetic_score": 0, "tampering_score": 0 }, "transaction_id": "transaction_id", "updated_at": "2019-12-27T18:11:19.117Z" } ```