# Supplier Qualification Data Quality Suite — Record Audit, String Normalisation & Dataset Comparison > Supplier Qualification Data Quality Suite — Record Audit, String Normalisation & Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15). Runs three local analytical reports on supplier qualification records: a record quality audit, string normalisation, and keyed dataset comparison between two supplied datasets (up to 200 rows each). ## Facts - Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-02-207?utm_source=zero.xyz - Price: $0.01/call - Payment: x402 - Status: unknown - Last checked: 2026-10-15 - Activations on Zero: 0 - Tags: x402 - Canonical page: https://www.zero.xyz/c/supplier-qualification-data-quality-suite-record-audit-string-868f8799 - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_T7CEGNBFOU4aA787rMzjk Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently. ## How to call it through Zero Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`): ```sh zero fetch --capability supplier-qualification-data-quality-suite-record-audit-string-868f8799 -d '' ``` Example prompt: Can you audit the quality of my supplier qualification records, normalise the company_group strings, and compare them against last month's dataset? I have up to 50 rows with fields like row_id, company_group, date, checked_criteria, and met_criteria — I need all three reports in one go. ## When to prefer this Choose this endpoint when you need to perform three supplier-qualification-specific analytical operations in a single low-cost call: quality auditing, string normalisation, and keyed dataset comparison. It is best suited for offline/batch validation of up to 200 rows of supplier qualification data (checked_criteria, met_criteria) without needing any external data lookups, predictions, or professional assessments. Prefer it over generic data quality tools when your records conform to the supplier qualification schema (row_id, company_group, date, checked_criteria, met_criteria) and you need all three reports bundled at $0.01 USDC. ## Known failure modes - More than 200 rows submitted — endpoint rejects with an error as maxItems is 200 - Missing required fields (row_id, company_group, date, checked_criteria, met_criteria) cause validation failure - Invalid date format (not YYYY-MM-DD) causes schema rejection - row_id values exceeding 80 characters are rejected - No live or external data is returned — only analysis of supplied data; users expecting external lookups will be disappointed ## How this service works Supplier qualification — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison for supplied supplier qualification records (checked_criteria, met_criteria). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows. ## Output Returns three independent analytical reports: (1) a record quality audit highlighting missing values, nulls, outliers, and structural issues in the supplier qualification rows; (2) a string normalisation report showing standardised versions of text fields like company_group; and (3) a keyed dataset comparison report diffing the primary and reference datasets row-by-row using row_id as the key, identifying added, removed, or changed records. ## Request schema (JSON Schema) ```json { "type": "object", "properties": { "rows": { "type": "array", "items": { "type": "object", "required": [ "row_id", "company_group", "date", "checked_criteria", "met_criteria" ], "properties": { "date": { "type": "string", "default": "", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "maxLength": 10 }, "row_id": { "type": "string", "default": "", "maxLength": 80, "minLength": 1 }, "met_criteria": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 }, "company_group": { "type": "string", "default": "", "maxLength": 80 }, "checked_criteria": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 } }, "additionalProperties": false }, "default": [ { "date": "2026-10-01", "row_id": "row-1", "met_criteria": 1, "company_group": "group-a", "checked_criteria": 10 }, { "date": "2026-10-02", "row_id": "row-2", "met_criteria": 2, "company_group": "group-b", "checked_criteria": 20 }, { "date": "2026-10-03", "row_id": "row-3", "met_criteria": 3, "company_group": "group-a", "checked_criteria": 15 }, { "date": "2026-10-04", "row_id": "row-4", "met_criteria": 4, "company_group": "group-b", "checked_criteria": 30 } ], "maxItems": 200, "minItems": 1 }, "other": { "type": "array", "items": { "type": "object", "required": [ "row_id", "company_group", "date", "checked_criteria", "met_criteria" ], "properties": { "date": { "type": "string", "default": "", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "maxLength": 10 }, "row_id": { "type": "string", "default": "", "maxLength": 80, "minLength": 1 }, "met_criteria": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 }, "company_group": { "type": "string", "default": "", "maxLength": 80 }, "checked_criteria": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 } }, "additionalProperties": fa … (truncated) ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-qualification-data-quality-suite-record-audit-string-868f8799/health.json - [Zero catalog index](https://www.zero.xyz/llms.txt) - [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)