{"uid":"cap_aia2ZfWMu-ra_AilIq7oJ","slug":"staking-rewards-string-normalisation-and-keyed-dataset-comparison-cc1df375","name":"Staking Rewards String Normalisation and Keyed Dataset Comparison","description":"Staking supplied rewards — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison for supplied staking supplied rewards records (reward_units, staked_units). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 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strings and performs keyed comparison of two staking rewards datasets (reward_units, staked_units) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"I have two sets of staking reward records — each up to 200 rows with fields for row_id, instrument_group, date, reward_units, and staked_units — can you normalise the strings and compare them side by side to show me where the reward_units or staked_units differ?","exampleUseCases":[{"title":"Monthly staking reward reconciliation","prompt":"I have last month's staking rewards from two different sources — both have up to 150 rows with row_id, date, instrument_group, reward_units, and staked_units — please normalise the strings and compare them keyed by row_id so I can see exactly where the reward_units diverge."},{"title":"Cross-provider staking data audit","prompt":"We pulled staking reward data from two providers for the same period, each about 80 rows with reward_units and staked_units per instrument_group — can you run a keyed comparison and string normalisation on both datasets to flag any discrepancies?"},{"title":"Pre-report staking data validation","prompt":"Before I finalise our quarterly staking report, can you take these two datasets of up to 200 rows each — with row_id, date, instrument_group, reward_units and staked_units — normalise the strings and compare them row by row to catch any mismatches?"}],"resultDescription":"Two analytical reports: (1) a string normalisation report standardising instrument_group and other string fields across rows, and (2) a keyed dataset comparison report mapping rows from both datasets by row_id to surface differences in reward_units and staked_units. Results are based entirely on the supplied data with no external lookups.","failureModes":["Payload exceeds 200 rows — returns validation error","Missing required fields (row_id, date, instrument_group, reward_units, staked_units) on any row — returns schema validation error","Date not in YYYY-MM-DD format — returns pattern validation error","row_id is empty or exceeds 80 characters — returns validation error","Numeric values outside ±1,000,000,000,000 range — returns validation error","Empty rows array — returns minItems validation error"],"whenToPreferThis":"Choose this endpoint when you need to reconcile or diff two batches of staking reward records (up to 200 rows each) using string normalisation and keyed row-level comparison, and you want a local analytical result with no external data fetching. Ideal for auditing, reconciliation, or pre-reporting validation of staking reward data where you already have both datasets available.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:32:43.937Z","isFirstParty":false,"canonicalSlug":"staking-rewards-string-normalisation-and-keyed-dataset-comparison-cc1df375"}