Job Summary API Response | Zoho DataPrep

The Job Summary API in Zoho DataPrep provides a comprehensive summary of a pipeline run, including its execution status, task-level audits, datasets, data sources, and export details.
This documentation explains the API response structure in detail, with clear field descriptions and JSON examples, helping users understand pipeline execution flows, troubleshoot issues, and track data lineage efficiently.

Top-level schema

{
"pipelinerun": { ... },
"response_status": {
"status": "success",
"status_code": 2000,
"messages": [
{
"type": "success",
"status_code": 2000
}
]
}

1. Response status

Field	Type	Meaning
status	string	Response type: "success" or "failure"
status_code	number	2000 = success; 4000+ = error
messages	array	List of messages about the API call
messages[0].type	string	Message type (e.g., "success" or "error")
messages[0].status_code	number	2000 = success; 4000+ = error

2. pipelinerun

This is the core object. It represents the full execution of a pipeline.

Common type field inside the pipeline run object.

Field	Type	Description
id	string	Pipeline run ID
execution_status	number	Pipeline run execution status 1 = Success 2= Created 0 = Running -1 = Failure -2 = Stopped -3 = System killed
type	number	Type of run: 0 = Manual run 1 = Schedule 2 = Reload 3 = Backfill 4 = Sectional 5 = Webhook 6 = Zoho Flow 8 = Manual - refresh data from source
created_time	Unix timestamp in milliseconds	Pipeline run start time
modified_time	Unix timestamp in milliseconds	Pipeline run modified time (Kill or stop)
completion_time	Unix timestamp in milliseconds	Pipeline run completion time i.e., end time
data_interval_start_time, data_interval_end_time	Unix timestamp in milliseconds	Data interval start time and end time
Re-run count	number	Number of times re-run
profile_output	boolean (true or false)	Internal usage key for output profiling
skip_export_invalid_data	boolean (true or false)	Stop export if data quality drops below 100% This run setting allows you to control whether the export should continue if the dataset contains invalid values. Toggle ON (true) - The export will stop if the data quality is less than 100%. Toggle OFF (false) - The export will proceed regardless of data quality, even if invalid records exist.
status	number	Pipeline run alive status 1 = Alive, 0 = Trash
storage_used	number (bytes)	Total storage used
row_count	number	Total number of rows processed

1. Pipelineaudit

Field	Type	Description
id	String	Unique ID of the pipeline audit.
is_committed	String	Indicates whether this audit corresponds to the published version of the pipeline. 0 - Draft (not published) 1 - published
pipeline.id	String	Unique ID of pipeline.
status	Number	Pipeline audit alive status 0 - Inactive 1 - Active

2. Pipelinerunconfigaudit

The configuration audit shows the settings used for a pipeline run.
It retains details such as the run type (for example, schedule, webhook run) and the run settings (for example, stop export if data quality is less than 100%).

Field	Type	Description
id	String	Unique ID of the pipeline run configuration audit.
status	Number	Status of the configuration audit 1 = Alive, 0 = Trash
skip_export_invalid_data	Boolean (true or false)	Stop export if data quality drops below 100% This run setting allows you to control whether the export should continue if the dataset contains invalid values. Toggle ON (true) - The export will stop if the data quality is less than 100%. Toggle OFF (false) - The export will proceed regardless of data quality, even if invalid records exist.
type	Number	Type of pipeline run 0 = Manual run 1 = Schedule 2 = Reload 3 = Backfill 4 = Sectional 5 = Webhook 6 = Zoho Flow 8 = Manual - refresh data from source
pipeline	Object	Parent pipeline linked to this configuration audit.
pipeline.id	String	Unique ID of the pipeline.
pipelinefile	Object	Downloaded file from the Output tab in the job summary.
pipelinefile.id	String	Unique ID of the associated pipeline file.

3. Created by

Details about the user who created the pipeline run.

Field	Type	Description
id	String	Unique ID of the user who created the run.
zuid	String	Zoho User ID of the creator.
username	String	Display name of the user.
email_id	String	Email address of the creator.
invited_time	String	Epoch timestamp of when the user was invited.
profile	Object	Profile details of the creator.
profile.id	String	Unique ID of the user profile.
status	Number	Status of the user 1 - Active, 0 - Inactive.
zsoid	String	Zoho Organization ID associated with the user.
profilelink	String	URL to the user’s Zoho profile.

4. Modified by

Details about the user who last modified the pipeline run.

Field	Type	Description
id	String	Unique id of the user who modified the run.
zuid	String	Zoho User ID of the modified user.
username	String	Display name of the modified user.
email_id	String	Email address of the modified user.
invited_by	String / Null	User ID of the inviter, if applicable. Example: null (when no inviter).
invited_time	String	Epoch timestamp of when the modified user was invited.
profile	Object	Profile information of the modified user.
profile.id	String	Unique id of the profile.
profile.name	String	Modified user's role. Example: "Org Admin"
profile.is_default	Boolean	Whether this is the default profile for the user. True means default, False means not.
profile.zuid	String / Null	Zoho User ID mapped to this profile. Example: null.
profile.permission	String	Permission code for the profile. Example: "7FFFFFFF"
status	Number	Status of the user 1 - Active, 0 - Inactive.
zsoid	String	Zoho Organization ID of the user.
profilelink	String	URL to the user’s Zoho profile.
has_more_rows	Boolean Array	Internal flag for pagination. true - there are more records available, false - none.

5. Pipelinetaskinstancemappers

The JSON under pipelinetaskinstancemappers is a child-parent mapping of task instances:

Key = Child task instance ID

Value (Array) = Parent task instance IDs

Field	Type	Description	Example
<task_instance_id>	Object	Each key represents a child task instance ID in the pipeline.	"14057000007569523": ["14057000007569519"] Child task 69523 depends on parent 69519.
Value (Array)	Array	List of parent task instance IDs the child depends on. Empty = no parent task	"14057000007569515" - [ ] Task 69515 is a root task (no parents).

6. Pipelinetaskinstances

Each object represents a stage (such as import, transform, or export) within the pipeline.

Field	Type	Description
id	String	Unique ID of the pipeline stage instance.
pipelinerun	Object	The pipelinerun task has the same structure as pipelinerun under the main object.
pipelinetask	Object	The stage definition that this instance is based on. (explained below)
execution_status	Number	Execution status of each stage. 1 = Success 0 = Running -1 = Failure
index	Number	Internal notes.
created_time	String	When the stage instance was created.
start_time	String	When execution started.
completion_time	String	When execution finished.
client_meta	JSON String	UI placement information in the pipeline builder. Example: {"top":235,"left":80,"version":1}.
message	String/Null	System or log messages.
operator_id	String	The operator used to execute this stage. Example: "com.zoho.dataprep.operator.ZSOrchParseRawDataOperator".
retry_count	Number	Number of retries attempted. Example: 0.
storage_used	String	Storage consumed (bytes). Example: "172".
row_count	String	Rows processed. Example: "3".
status	Number	Active status 1 = Alive, 0 = Trash
time_to_live	String	Expiry time for this instance.
rawdatasetaudit	Object	Audit info about the dataset used in this stage.

Pipeline task

Represents a specific stage within the pipeline. Each task defines a particular operation or transformation that runs as part of the pipeline execution.

Field	Type	Description
id	String	Unique ID of the pipeline stage.
name	String	Stage name (usually corresponds to a dataset or stage). Example: "public.contactnew".
type	Number	Stage type identifier. 5 - Extract(import) 7 - Raw parse 10 - transform 15 - Stages extract 20 - Load(export)
pipeline	Object	The pipeline this stage belongs to.
created_by	Object	Same structure as created_by under pipelinerun.
created_time	Unix timestamp in milliseconds	Pipeline run start time.
modified_by	Object	Same structure as modified_by under pipelinerun.
modified_time	Unix timestamp in milliseconds	Pipeline run modified time (Kill or stop)
status	Number	Indicates if the stage is active. Example: 1.
latest_only	Boolean	Whether only the latest run should be considered. Example: false.
depends_on_past	Boolean	If true, this stage only runs if its previous instance succeeded. Example: false.
trigger_rule	String	Execution rule. Example: "ALL_SUCCESS".
client_meta	JSON String/Null	UI placement information in the pipeline builder. Example: {"top":235,"left":80,"version":1}.
weight	Number	Priority weight for scheduling. Example: 1.

a. Raw dataset audit

This contains details about the imported dataset.

Field	Type	Description
id	String	Unique id for the dataset audit.
audit_time	String (timestamp)	Time when the dataset import was audited.
is_referred	Boolean	Indicates whether this dataset was reused from a previous import.
datasourceaudit	Object	Datasource audit ID of the source.
rawdatasetconfigaudit	Object	Dataset config audit ID.
rawdataset	Object	Details of the dataset being audited (explained below).
status	Number	Audit status.
error_message	String / null	Status Error message

i) Rawdataset

Field	Type	Description
id	String	Unique ID of the dataset.
name	String	Dataset name. Example: "public.contactnew".
replication_frequency	String/Null	How often does it replicates. Example: null.
created_by	Object	Same structure as created_by under pipelinerun.
created_time	Unix timestamp in milliseconds	Dataset imported time
modtime	String/Null	Last modified time. Example: null.
status	Number	Status of the dataset. Example: 1.
pipelinedatasource	Object	The datasource linked to this dataset. (explained below).

ii) Pipeline datasource

Represents the source connection from which the pipeline dataset is fetched.

Field	Type	Description
id	String	Unique ID of the datasource.
name	String	Datasource name or identifier.
replication_type	String	Replication strategy used.
status	Number	Status of the datasource. 1 = Alive, 0 = Trash
project	Object	Workspace id that owns this datasource.
connection	Object	Connection id used for accessing the datasource.

b. Dataset audit

This contains details about the processed dataset before exporting.

Field	Type	Description
id	String	Unique id for this dataset audit.
created_time	String (timestamp)	When the dataset audit was created.
created_by	Object	User who triggered the audit (same structure as explained under pipelinerun.created_by).
audit_time	String (timestamp)	When the dataset audit started.
completion_time	String (timestamp)	When the dataset audit finished.
execution_status	Number	Status of the audit execution. 1 = Success 0 = Running -1 = Failure
description	String/null	Optional description.
dataset	Object	Dataset linked to this audit. (Explained below)
exportcatalogaudit	Object / null	Target matching
rulesetaudit	Object	Information about the applied ruleset. (Explained below)
modtime	String (timestamp)	Last modified time for this audit.
status	Number	Current status of the audit. 1 = Alive, 0 = Trash
type	Number	Internal notes.
error_message	String / null	Error details if audit failed, otherwise null.
datasetstate	Object	Current state of the dataset after audit. (Explained below)
rules_count	Number	Number of rules applied in this dataset audit.

i) Dataset

Field	Type	Description
id	String	Unique dataset ID.
name	String	Name of the dataset. Example: "contact".
description	String / null	Optional description of the dataset.
status	Number	Status of the dataset. 1 = Alive, 0 = Trash
is_ready	Boolean (true/false)	Whether the dataset is ready for use.
is_pii_marked	Boolean (true/false)	Whether the dataset has been flagged for containing Personally Identifiable Information (PII).
project	Object	Workspace id this dataset belongs to
selected_sample	Object	The sample id is selected for a quick preview

ii) Rulesetaudit

Field	Type	Description
id	String	Unique id of this ruleset audit.
audit_time	String (timestamp)	When the ruleset audit was executed.
is_committed	String	Whether the ruleset has been committed. 1 = committed
ruleset	Object	The applied ruleset id
status	Number	Status of the ruleset audit.
rules_count	Number	Total number of rules applied in this audit.

iii) Datasetstate

Valid, invalid, missing data details

Field	Type	Description
id	String	Unique id for this dataset state.
datasetaudit	Object	Links back to the dataset audit id.
execution_status	Number	Execution result. 1 = Success 0 = Running -1 = Failure
is_error	Boolean	Whether the state contains an error.
error_message	String/null	Error details if is_error = true.

c. Dataset export audit

This contains details about the dataset exported to the destination

Field	Type	Description
id	String	Unique id of the export audit.
dsauditstatefile	Object	Refers to the dataset state file id used in this export
datasinkaudit	Object	Links to the datasink audit record id
datasetexport	Object	Reference to the export configuration and the dataset involved. (explained below).
datasetexportconfigaudit	Object	Audit record for the export configuration id
created_time	String (timestamp)	When this export audit was created.
error_message	String / null	Error details if export failed.
info	String (JSON)	Extra info about export execution. Example: {"currentRetry":0}.
execution_status	Number	Status of execution. 1 = Success 0 = Running -1 = Failure
progress	Number	Progress percentage. Example: 100.
status	Number	Status of the audit record.
type	Number	Internal notes
datasetexportauditmetric	Object	Output Metrics recorded for this export (explained below).

i) Dataset export

Field	Type	Description
id	String	Unique id of the dataset export.
dataset	Object	Dataset being exported (uses an already defined dataset).
datasink	Object	Where the dataset is exported. (Explained below)
created_by	Object	User who created the export (standard user structure).
created_time	String (timestamp)	When export was created.
modified_by	Object / null	Last user who modified the export.
modtime	String / null	Last modified time.
status	Number	Status of the export.
datasetexportaudit	Object	Nested audit of this export -> { id, dsauditstatefile, datasinkaudit, datasetexport, datasetexportconfigaudit, created_by, etc. } (essentially self-referencing).

ii) Datasink

Refers to the connection where the data is exported.

Field	Type	Description
id	String	Unique id of the datasink.
status	Number	Status of the datasink. Example: 1 = Active.
project	Object	The workspace id this datasink belongs to.
connection	Object	Connection details used for export (see below).

iii) Connection (inside datasink)

Field	Type	Description
id	String	Connection identifier.
name	String	Display name of the connection. Example: "teststream@gmail.com - box".
connection_json	String (JSON)	Connection-specific info. Example: {"servicename":"box","accountId":"…", "display_email":"…","display_name":"…","is_authorised":false}.
type	String	Connection type code. 0 - cloud storage 1 - local file 2 - URL 3 - Local Database 4 - FTP 5 - Cloud Database 10 - Zoho CRM 11 - Zoho Analytics 15 - Amazon S3 19 - Local FTP 20 - Databridge local file 21 - Zoho Creator 22 - Zoho Directory
created_by	Object	The user who created the connection (same structure as explained under created_by in pipelinerun).
owner	Object	Owner of the connection (same structure as explained under created_by).
created_time	String (timestamp)	When the connection was created.
modified_by	Object	Last user who modified the connection (same structure as explained).
modtime	String (timestamp)	Last modified time.
status	Number	Status of the connection. Example: 1 = Active.
category	String / null	Category of the connection.
base_type	String	Base service type. Example: "box".
sub_type	String / null	Subtype of the connection if applicable.

iv) Dataset export audit metric

All the OUTPUT meta can be found here.

Field	Type	Description
id	String	Id of this metrics record.
row_count	String (number as string)	Number of rows exported.
col_count	String (number as string)	Number of columns exported.
size	String (number as string)	Data size in bytes.
status	Number	Status of metrics record.
datasetexportaudit	Object	Links back to export audit -> { id, etc. }.
quality	String (JSON)	Quality of the dataset. Example: {"valid":57,"invalid":0,"missing":151}.

d. Datasource audit

This contains details about the source of the imported dataset.

Field	Type	Description
id	String	Unique ID of this datasource audit.
execution_status	Number	Execution state of the datasource audit. 1 = Success 0 = Running -1 = Failure
streams_info	String (JSON)	Import notes Example:{"14057000007554785":{"size":0,"catalog_stream_id":"14057000007554785","execution_status":"SUCCESS","progress":100}}.
killed_batch_catalog_ids	String / null	IDs of any batch catalogs that were terminated during execution.
completed_time	String (timestamp)	Audit completion time.
status	Number	Status of the audit. Example: 1 = Active.
type	Number	Type of audit. Example: 1 = Datasource.
pipelinedatasource	Object	Reference to the datasource used. Includes its id, name, replication_type, created_by, project, and connection (same structure as explained under connection and user fields).
error_message	String / null	Error details if execution failed.
logs	Array	Internal notes

7. Pipelinerunaudit

The Pipeline Run Audit shows the details of a pipeline run, including its settings, status, usage, pipeline, and workspace, how much data was processed, and the status of the run.

Field	Type	Description
id	String	Unique ID of the pipeline run audit.
created_time	String (timestamp)	The time when the run audit was created.
modtime	String (timestamp)	Last modified time of the run audit.
pipelinerun	Object	Contains details about the pipeline run. Structure is the same as explained under pipelinerun.
status	Number	Pipeline run alive status 1 = Active/Completed, 0 = Inactive
execution_policy	Number	Execution policy internal
execution_status	Number	Pipeline run execution status 1 = Success 0 = Running -1 = Failure
created_by	Object	User who created the run audit. Same structure as created_by.
modified_by	Object	User who last modified the run audit. Same structure as modified_by.
completion_time	String (timestamp)	Time when the run audit is completed.
storage_used	Bytes	Storage consumed during this run.
row_count	String	Number of rows processed in this run.
pipeline	Object	Pipeline details (id, name, project, status). Same structure as the pipeline below.

8. Pipeline

Represents the pipeline that was executed in the run.

Field	Type	Description
id	String	Unique id of the pipeline.
name	String	Name of the pipeline. Example: "My pipeline-1"
description	String / Null	Description of the pipeline. Example: null if no description is provided.
created_by	Object	Details of the user who created the pipeline (same structure as created_by under pipelinerun).
created_time	String	Epoch timestamp when the pipeline was created.
modified_by	Object	Details of the user who last modified the pipeline (same structure as modified_by under pipelinerun).
modtime	String	Epoch timestamp when the pipeline was last modified.
status	Number	Status of the pipeline 1 = Alive, 0 = Trash
is_ready	Boolean	Whether the pipeline is ready to run. true - ready; false - not ready.
depends_on_past	Boolean	Whether the pipeline run depends on past runs true - dependent, false - independent.
project	Object	The workspace that this pipeline belongs to.

Project

Represents the workspace containing the pipeline.

Field	Type	Description
id	String	Unique id of the workspace.
name	String	Name of the workspace. Example: "RestAPI test"
description	String / Null	Not in use
created_by	Object	Details of the user who created the workspace.
created_time	String	Epoch timestamp when the workspace was created.
modified_by	Object	Details of the user who last modified the workspace.
modtime	String	Epoch timestamp when the workspace was last modified.
status	Number	Status of the workspace 1 - Active, 0 - Inactive.
migration_status	Number	Migration status of the workspace. 0 - Created in DataPrep 1.0 1 - Migrated from 1.0 to 2.0 3 - Created in DataPrep 2.0
is_locked	Boolean	No longer in use.

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