/list-queries

Retrieves queries within a project matching your criteria, and reports their status (whether they are ready, etc.).

• Method: POST
• Endpoint: https://app.neuronwriter.com/neuron-api/0.5/writer/list-queries

Parameters

Parameter	Example	Description
project	0c30b6a4f8b2b412	The ID of your project.
status	ready	Query status: waiting, in progress, ready.
source	neuron-api	How the query was created: neuron, neuron-api.
created	2024-01-19T14:48:31+00:00	Creation date filter.
updated	2024-01-19T14:49:52+00:00	Update date filter (when the query became ready).
keyword	trail running shoes	Main keyword filter.
language	English	Language used during analysis.
engine	google.com	Search engine used during analysis.
tags	Done	Limit results to queries with one or more tags. Single tag string, or a list (all must be present): ['MyNewTag', 'Done'].

Response

A list of queries:

[
  {"query": "a6d0fb2bf9a7a2be", "created": "2024-01-19T14:48:31+00:00", "updated": "2024-01-19T14:49:52+00:00", "keyword": "how should running shoes fit", "language": "English", "engine": "google.co.uk", "source": "neuron-api", "tags": ["Done"]},
  {"query": "bdc73d8e0057ed8f", "created": "2024-01-19T14:48:31+00:00", "updated": "2024-01-19T14:49:52+00:00", "keyword": "trail running shoes for winter", "language": "English", "engine": "google.co.uk", "source": "neuron-api", "tags": ["Done"]}
]

Tag-driven pipelines

Filtering by tags (for example Done) is the cleanest way to pull only finished, human-approved queries into a downstream automation.