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Citiview Document Q&A (Ask a Document)
x402
Citiview Document Q&A (Ask a Document) is a paid API for AI agents from agents.citiviewgroup.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-14).
Accepts a document URL or raw text plus a question, and returns a direct answer backed by exact quotes from the document, using embeddings for long-document search.
Price / call$0.02
Success—
StatusUnknown
How this service works
Ask a document: give a web page, PDF, Word, Excel or CSV URL (or raw text) and a question; get an answer backed by exact quotes from the document. Long documents are searched with embeddings first. Also callable as GET with the same fields as query parameters.
Output
A natural language answer to the posed question, supported by exact verbatim quotes from the source document. For long documents, relevant sections are first retrieved via embeddings before generating the answer.
Example use cases
Legal contract clause lookup
“Here's a contract PDF: https://example.com/vendor-contract.pdf — what does it say about termination notice periods? Give me the exact wording from the document.”
Research paper fact extraction
“I have a research paper at https://arxiv.org/pdf/2301.00001.pdf — what methodology did the authors use, and can you quote the relevant section?”
CSV data policy question
“Look at this CSV file at https://example.com/product-specs.csv and tell me: which product has the highest warranty period? Quote the relevant row or cell.”
Technical details
Endpoint
GEThttps://agents.citiviewgroup.com/v1/ask?utm_source=zero.xyzWhen to prefer
Prefer this endpoint when you need a grounded, quote-backed answer from a specific document (PDF, Word, Excel, CSV, or web page) rather than a general web search or open-ended generation. Especially useful when accuracy and traceability to source text matter, such as legal review, financial document analysis, or research extraction. Choose this over generic chat completions when you need the answer to be anchored to a particular document's content.
Side effects
- Document URL is inaccessible or returns a non-200 status — no content to parse
- Unsupported file format beyond PDF, Word, Excel, CSV, or web page
- Question field is missing — required parameter not provided
- Document is too large or encoding is unreadable — parsing fails
- Answer not found in document — model may indicate no relevant content
- Rate limiting or payment failure at $0.02 USDC per call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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