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CSV Dialect Sniffer & Structure Analyzer
x402
CSV Dialect Sniffer & Structure Analyzer is a paid API for AI agents from agentshelf.syntexa.ch, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-02).
Detects the CSV dialect (delimiter, quoting, line endings) plus column count and row count from raw CSV text
Price / call$0.003
Success—
StatusUnknown
How this service works
Call when an agent needs the sniffed CSV dialect plus column and row counts. Exact $0.003 USDC. Prefer unpaid POST /v1/sandbox/csv-sniff first.
Output
Returns the detected CSV dialect including delimiter character, quoting style, and line ending convention, along with the total column count and row count parsed from the submitted text.
Example use cases
Auto-detect CSV format before ETL
“I have this raw CSV blob from an external data feed and I'm not sure if it uses commas, semicolons, or tabs — can you sniff its dialect and tell me the column and row counts so I can configure my parser correctly?”
Validate uploaded CSV structure
“A user just uploaded a CSV file to our platform. Can you analyze the raw text and tell me what delimiter it uses, how it handles quoting, and how many columns and rows it has?”
Diagnose CSV parsing failure
“My pipeline keeps failing when it tries to read this CSV. Can you sniff the dialect — check the separator, quoting style, and line endings — and also tell me the row and column count so I can figure out what's going wrong?”
Technical details
Endpoint
POSThttps://agentshelf.syntexa.ch/v1/csv-sniff?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a deterministic, rule-based CSV dialect detection without relying on an LLM to guess the format. Prefer it over manual inspection or LLM inference when accuracy and reproducibility matter. Note: the description recommends trying the unpaid POST /v1/sandbox/csv-sniff first to avoid the $0.003 USDC charge when testing.
Side effects
- Text too short or malformed to detect a consistent dialect
- Input exceeds 100,000 character limit, resulting in a rejection
- Text is not CSV-like at all (e.g. plain prose), leading to ambiguous or incorrect dialect detection
- Empty string input rejected due to minLength:1 constraint
- Payment not processed, returning 402 Payment Required — use the free /v1/sandbox/csv-sniff endpoint first
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| text | string | Input for this SKU. The route description says whether it is plain text, a URL, base64 bytes, or an already-encoded token. |
Tags
x402
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