# Transaction Fee Observations — Record Quality Audit + String Normalisation + Keyed Dataset Comparison > Transaction Fee Observations — Record Quality Audit + String Normalisation + Keyed 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 2026-10-26). Runs three local analytical reports (record quality audit, string normalisation, and keyed dataset comparison) on up to 200 rows of transaction fee observation data (fee_units, transaction_count). ## Facts - Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-finance-03-207?utm_source=zero.xyz - Price: $0.01/call - Payment: x402 - Status: unknown - Last checked: 2026-10-26 - Activations on Zero: 0 - Tags: x402 - Canonical page: https://www.zero.xyz/c/transaction-fee-observations-record-quality-audit-string-5cb3637d - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0XZgQOuZ-BkYD-Rs0BxmX 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 transaction-fee-observations-record-quality-audit-string-5cb3637d -d '' ``` Example prompt: Can you run a record quality audit, string normalisation, and keyed dataset comparison on my two sets of transaction fee observations? Here are the rows: primary dataset has row-1 (2026-10-01, group-a, fee_units=10, transaction_count=1), row-2 (2026-10-02, group-b, fee_units=20, transaction_count=2); comparison dataset has the same keys but fee_units=10 and fee_units=21 respectively. ## When to prefer this Choose this endpoint when you need three specific analytical operations — record quality audit, string normalisation, and keyed dataset comparison — applied together to transaction fee observations (fee_units, transaction_count) in a single call for $0.01. Prefer it over building your own pipeline when you need a quick, cheap, offline-safe data QA pass on up to 200 rows without sending data to a live prediction or external enrichment service. ## Known failure modes - Fewer than 1 row supplied — validation error - More than 200 rows supplied — request rejected with max items error - Row missing required fields (row_id, instrument_group, date, fee_units, transaction_count) — schema validation error - Date field does not match YYYY-MM-DD pattern — schema validation error - fee_units or transaction_count outside allowed numeric range — schema validation error - row_id exceeds 80 characters — schema validation error - Payment of 0.01 USDC not provided or rejected — 402 Payment Required ## How this service works Transaction fee observations — Record quality audit + String normalisation + Keyed dataset comparison: Record quality audit + String normalisation + Keyed dataset comparison for supplied transaction fee observations records (fee_units, transaction_count). 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 Three independent analytical reports returned together: (1) a record quality audit flagging missing, null, or out-of-range values across fee_units and transaction_count fields; (2) a string normalisation report showing standardised versions of text fields like instrument_group; (3) a keyed dataset comparison report highlighting rows where the two supplied datasets differ by key (row_id). All analysis is performed locally on the supplied data — no external lookups or predictions. ## Request schema (JSON Schema) ```json { "type": "object", "properties": { "rows": { "type": "array", "items": { "type": "object", "required": [ "row_id", "instrument_group", "date", "fee_units", "transaction_count" ], "properties": { "date": { "type": "string", "default": "", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "maxLength": 10 }, "row_id": { "type": "string", "default": "", "maxLength": 80, "minLength": 1 }, "fee_units": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 }, "instrument_group": { "type": "string", "default": "", "maxLength": 80 }, "transaction_count": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 } }, "additionalProperties": false }, "default": [ { "date": "2026-10-01", "row_id": "row-1", "fee_units": 10, "instrument_group": "group-a", "transaction_count": 1 }, { "date": "2026-10-02", "row_id": "row-2", "fee_units": 20, "instrument_group": "group-b", "transaction_count": 2 }, { "date": "2026-10-03", "row_id": "row-3", "fee_units": 15, "instrument_group": "group-a", "transaction_count": 3 }, { "date": "2026-10-04", "row_id": "row-4", "fee_units": 30, "instrument_group": "group-b", "transaction_count": 4 } ], "maxItems": 200, "minItems": 1 }, "other": { "type": "array", "items": { "type": "object", "required": [ "row_id", "instrument_group", "date", "fee_units", "transaction_count" ], "properties": { "date": { "type": "string", "default": "", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "maxLength": 10 }, "row_id": { "type": "string", "default": "", "maxLength": 80, "minLength": 1 }, "fee_units": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 }, "instrument_group": { "type": "string", "default": "", "maxLength": 80 }, "transaction_count": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 } }, "additionalPropert … (truncated) ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/transaction-fee-observations-record-quality-audit-string-5cb3637d/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)