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CSV Import Preflight Validator
x402
CSV Import Preflight Validator is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.0135/call, status unknown (last checked 2026-10-13).
Validates up to 500 CSV records for quoting errors, column count mismatches, duplicate headers, spreadsheet-formula injection prefixes, and declared scalar type conformance before import.
Price / call$0.0135
Success—
StatusUnknown
How this service works
Check up to 500 supplied CSV records for quoting, column counts, duplicate headers, spreadsheet-formula prefixes and caller-declared scalar types. Return bounded row/column findings and input integrity hashes. No cell execution, automatic repair, PII detection or import-success guarantee.
Output
Returns a structured object containing row- and column-level findings (quoting errors, column count mismatches, duplicate headers, formula-prefix detections, scalar type violations), an input integrity hash, a result hash, a receipt digest, a product and version identifier, and a list of limitations (e.g. no PII detection, no cell execution, no automatic repair).
Example use cases
ETL pipeline safety gate
“I'm about to run an ETL job on this CSV. Can you preflight-check it first? It's comma-delimited, the declared columns are user_id, signup_date, and plan_tier, the data class is public, and I want to catch any quoting issues, column count problems, or formula injection prefixes before anything gets imported.”
User-uploaded CSV threat screening
“A user just uploaded a CSV to our platform and I need to check it for spreadsheet formula injection attacks and structural issues before we process it. It's semicolon-delimited, data class is public, and the declared columns are product_name, price, and quantity — can you run the preflight check and tell me what's wrong?”
Data science notebook import check
“I have a tab-delimited CSV with synthetic data that I want to load into a notebook. The declared columns are experiment_id, measurement, and result. Can you run a preflight validation to make sure there are no duplicate headers, bad quoting, or type mismatches before I import it?”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/demand/csv-import-preflight?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a lightweight, deterministic structural check on CSV data before committing it to an import pipeline, database, or ETL process — especially when you want formula-injection detection, integrity hashes for audit trails, or column-type conformance checks without executing any cell content or modifying the data. Prefer this over full ETL tools when the goal is pre-import validation only, not transformation or repair.
Side effects
- CSV string exceeds 24,000 character limit — request rejected
- columns array is empty or exceeds 64 items — validation error
- invalid delimiter value (must be comma, semicolon, or tab) — schema error
- dataClass not one of 'public' or 'synthetic' — enum validation failure
- malformed JSON body — 400 bad request
- CSV contains more than 500 rows — truncated or rejected
- missing required fields in body — validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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