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Workforce Skills Forecasting Research Funders Lookup
x402
Workforce Skills Forecasting Research Funders Lookup is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).
Retrieves reported research funders associated with workforce skills forecasting publications via Crossref metadata, returning DOI references and source attribution.
Price / call$0.01
Success—
StatusUnknown
How this service works
workforce skills forecasting: Reported research funders: Reported research funders on workforce skills forecasting using Crossref publisher metadata. Returns DOI references and source attribution. Query can be overridden; sample summaries are labelled.
Output
Returns a list of reported research funders associated with workforce skills forecasting publications, including DOI references and source attribution drawn from Crossref publisher metadata. Results may include labelled sample summaries.
Example use cases
Policy analyst tracking funding sources
“I need to know which organizations have funded research on workforce skills forecasting — can you pull up to 20 funders with their DOI references from Crossref?”
Labor economist literature mapping
“Pull the top 10 reported funders behind workforce skills forecasting studies, including DOI citations, so I can map the funding landscape for my literature review.”
Education startup competitive research
“Can you look up research funders for workforce skills forecasting — I want to see who's backing this space academically, with source attribution and DOIs, up to 25 results?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/signal-research-workforce-skills-funding-evidence?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to identify who funds academic or policy research specifically on workforce skills forecasting, using Crossref bibliographic metadata as the source of truth. Prefer this over general web search when you need structured DOI references and formal funder attribution rather than informal mentions. Ideal for literature reviews, funding landscape mapping, or policy analysis requiring citable academic sources.
Side effects
- Query string too long (over 200 characters) — truncation or rejection
- max_results out of range (below 1 or above 30) — validation error
- No matching Crossref records found for the query — empty result set
- Crossref upstream timeout or unavailability — service error
- Malformed POST body — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string | |
| max_results | integer |
Tags
x402
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