Job Data Points

Query project job data points

job_data_points.list() -> SyncPaginatedCursor[JobDataPoint]

GET/api/v1/job-data-points

ModelsExpand Collapse

class JobDataPoint: …

A job data point.

id: str

Job ID.

created_at: datetime

Created timestamp.

formatdate-time

custom_tag: str

Custom tag.

project_id: str

Project ID.

status: str

Job status.

updated_at: datetime

Updated timestamp.

formatdate-time

error_message: Optional[str]

Error message, if any.

state_transitions: Optional[StateTransitions]

Job state transition timestamps.

cancelled_at: Optional[datetime]

completed_at: Optional[datetime]

failed_at: Optional[datetime]

pending_at: Optional[datetime]

running_at: Optional[datetime]

throttled_at: Optional[datetime]

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/