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LLM Reliability Research Funding Evidence
x402
LLM Reliability Research Funding Evidence is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Retrieves scholarly citations and funding attribution for academic research on large language model reliability using Crossref metadata
Price / call$0.01
Success—
StatusUnknown
How this service works
large language model reliability: Reported research funders: Reported research funders on large language model reliability using Crossref publisher metadata. Returns DOI references and source attribution. Query can be overridden; sample summaries are labelled.
Output
Returns a list of structured citation records including DOI references and reported research funder names sourced from Crossref publisher metadata, with source attribution labels. Summaries may be labelled as samples. Up to 30 results per call.
Example use cases
Mapping LLM research funding landscape
“Who are the main funders behind academic research on large language model reliability? Pull up to 15 citation records with DOIs and funder attribution so I can see which organizations are sponsoring this work.”
Due diligence on AI reliability literature
“I need to verify funding sources for peer-reviewed papers on LLM reliability — can you pull the top 10 Crossref citations with their reported research funders and DOI links?”
Grant landscape analysis for AI safety
“I'm researching which government agencies and foundations are funding large language model reliability studies — search for up to 20 academic papers and show me the funder names and DOI references.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/signal-research-llm-reliability-funding-evidence?utm_source=zero.xyzWhen to prefer
Use this endpoint when you specifically need to identify research funding sources and DOI citations for LLM reliability literature via Crossref metadata. Prefer it over general academic search APIs when funder attribution is the primary need, and over proprietary databases when open DOI-linked data is sufficient.
Side effects
- Query returns zero results if the topic is too niche or not indexed in Crossref
- max_results out of range (must be 1–30) causes validation error
- Query string exceeding 200 characters is rejected
- Crossref upstream unavailability may cause timeout or empty response
- Ambiguous query may return loosely related citations with irrelevant funders
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string | |
| max_results | integer |
Tags
x402
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