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Knowledge Graph Construction: Structured Citation Records
x402
Knowledge Graph Construction: Structured Citation Records 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).
Returns structured citation records and DOI references for academic literature on knowledge graph construction, sourced from Crossref publisher metadata.
Price / call$0.01
Success—
StatusUnknown
How this service works
knowledge graph construction: Structured citation records: Structured citation records on knowledge graph construction using Crossref publisher metadata. Returns DOI references and source attribution. Query can be overridden; sample summaries are labelled.
Output
Returns structured citation records including DOI references and source attribution for academic papers related to the query topic, drawn from Crossref publisher metadata. Typically includes paper titles, authors, publication venues, DOIs, and bibliographic details for up to 30 results.
Example use cases
Literature review citation gathering
“I'm writing a literature review on knowledge graph construction — can you fetch me up to 15 structured citation records with DOI references from Crossref so I can build my bibliography?”
Research knowledge graph enrichment
“I'm building a knowledge graph about academic publishing and need structured citation records on knowledge graph construction topics — pull the top 20 results with source attribution and DOIs.”
Academic paper reference verification
“Can you look up structured citation records on knowledge graph construction and return the DOI references so I can verify which Crossref-indexed papers are most relevant to cite in my work?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/signal-research-knowledge-graphs-citation-records?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, publisher-verified citation records with DOI references for academic research on knowledge graph construction specifically. It is backed by Crossref metadata, making it more reliable for bibliographic attribution than general web search. Prefer it over general web search when you need machine-readable DOIs and source attribution for citation graphs or literature reviews.
Side effects
- Query returns no results if topic is too niche or misspelled
- max_results exceeding 30 will be rejected by schema validation
- Crossref metadata may be incomplete for some DOIs
- Slow or no response if upstream Crossref API is unavailable
- Payment failure via x402 protocol if USDC balance is insufficient
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| query | string | |
| max_results | integer |
Tags
x402
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