Research & Decisions
Public information collection
Find, screen and organize publicly available information into a reusable dataset.
- Choose this when
- Choose this for finding, filtering, deduplicating and tabulating public facts; choose Deep research report for deeper analysis.
- Scope unit
- One batch of targets, specified fields and checks
- Possible delivery format
- Files, reports or packages
You send · You receive
What to send
- Targets, region, filters and desired number of records
- Required fields and an example row or schema
- Permitted sources and fields that require verification
Start by describing the materials you already have; missing details can be added when we agree the scope. Before work begins, we will confirm the materials, permissions and working conditions needed for your specific task.
Possible outputs
- CSV or spreadsheet with the agreed columns
- Source URLs, check date and confidence or verification status
- Notes on missing records, duplicates and inaccessible sources
Key check
Each row must be traceable; missing fields and unverified states must be marked.
Verifiable acceptance · 3
- Fields and missingness are transparent
- Sampled source pages support the extracted fields
- Duplicates are resolved using an agreed rule
Hypothetical brief & output structure
Illustration · hypothetical
Illustrative example — not a completed client order
The request
Find up to 12 publicly listed adult piano lesson providers, with location, format, whether prices are published, contact route and verification date.
Sample artifacts
piano-lessons.csvfiltered provider listchecks.mdunpublished prices, unverified facts and reasons fewer than 12 were found
File names are illustrative
Other tasks of this kind
- Compile openly accessible research abstracts from the last five years, listing subject, method, year, findings and original source; flag inaccessible full texts.
Output structure / test path
Columns: name | area | format | price_public | source_url | checked_at | confidence
Scope boundaries
Deliver verified discoverable records; do not guarantee enough records exist.
Not included by default
- Guaranteeing that the requested number of records exists
- Unauthorized scraping or private account data
- Compiling sensitive personal information
What affects the quote
Number of records, field complexity, freshness and verification depth.
Actual project references
Roleward ↗
Self-directed AI product
Workflow and product practice, not evidence of market success or client delivery.
Self-directed work and published projects demonstrate relevant practice. They are not paid-client delivery records or guarantees for this task.
