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CitationCheck HG – Reference Audit API
x402
CitationCheck HG – Reference Audit API is a paid API for AI agents from microinvestigacion-hg.heroga32881.chatgpt.site, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-12).
Audits up to 10 academic references per batch by comparing DOI, BibTeX, RIS, or CSL-JSON metadata against Crossref and DataCite registries, returning verified field-level discrepancies and canonical metadata.
Price / call$0.05
Success—
StatusUnknown
How this service works
Auditá hasta 10 referencias por lote en DOI, BibTeX, RIS o CSL-JSON. Compará campos con Crossref y DataCite, recuperá evidencia y exportá metadatos registrados. Muestras gratuitas y suscripción prepaga.
Output
Returns a JSON object containing a list of sources matched to the query, each with a URL, kind (e.g. scholarly_reference or encyclopedia), title, authors, DOI, year, and a text extract. Also includes a providerCounts breakdown (e.g. Crossref:5, Wikipedia:3) and a schemaVersion field.
Example use cases
Bibliography audit before journal submission
“I'm about to submit my paper on climate change adaptation — can you pull verified scholarly references on that topic and check whether the DOIs and author fields match what Crossref and DataCite have on record?”
Research assistant sourcing for literature review
“I need credible sources for a literature review on machine learning in healthcare — find me verified scholarly references and encyclopedia entries with proper DOIs and author attributions.”
Citation fact-checking for a student thesis
“Can you look up verified references on supply chain resilience and give me the titles, authors, DOIs, and years so I can check whether my bibliography is accurate?”
Technical details
Endpoint
GEThttps://microinvestigacion-hg.heroga32881.chatgpt.site/api/research?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an agent needs to verify the accuracy of academic citations, retrieve canonical metadata for DOIs, or gather verified scholarly references for a research topic — especially when comparing user-supplied reference data against authoritative registries like Crossref and DataCite. Prefer over generic web search when bibliographic precision and provenance tracing matter.
Side effects
- Missing or invalid 'q' parameter returns an error or empty result
- Query shorter than 2 or longer than 160 characters may be rejected
- No matching references found for niche or misspelled topics
- Crossref or DataCite registry unavailable causes partial or empty provider counts
- Unsupported language code for 'lang' parameter may fall back to default or error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"query": "inventory management",
"sources": [
{
"url": "https://en.wikipedia.org/wiki/Inventory_management",
"kind": "encyclopedia",
"title": "Inventory management",
"extract": "Context excerpt with attribution"
},
{
"doi": "10.20294/jgbt.2023.19.3.25",
"url": "https://doi.org/10.20294/jgbt.2023.19.3.25",
"kind": "scholarly_reference",
"year": 2023,
"title": "Evaluating Inventory Management Performance as Measured by Inventory Management Efficiency",
"authors": [
"IAGBT",
"Gil-Whan Kim"
]
}
],
"schemaVersion": "2.0",
"providerCounts": {
"Crossref": 5,
"Wikipedia": 3
}
}
}Tags
x402
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