{"uid":"cap_DJOECVMPhWrPy0Gw-EoiT","slug":"transport-ridership-category-frequencies-keyed-dataset-comparison-85b3c24d","name":"Transport Ridership — Category Frequencies + Keyed Dataset Comparison","description":"Transport ridership — Category frequencies + Keyed dataset comparison: Category frequencies + Keyed dataset comparison for supplied transport ridership records (passenger_count, service_count). 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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category frequency distributions and performs a keyed row-by-row comparison between two transport ridership datasets (passenger_count, service_count) for up to 200 rows each.","exampleAgentPrompt":"I have two sets of transport ridership records — each up to 200 rows with region, date, passenger_count, and service_count — can you run category frequency analysis and compare the two datasets row-by-row by key to spot differences?","exampleUseCases":[{"title":"Weekly ridership snapshot comparison","prompt":"I have last week's and this week's transit ridership data — each with row_id, region, date, passenger_count, and service_count — can you compare them row by row and show me the frequency of each region across both datasets?"},{"title":"Regional service frequency audit","prompt":"I've got 150 rows of ridership records across regions like North, South, and Central with passenger and service counts — can you tell me how frequently each region appears and run a keyed comparison against my baseline dataset?"},{"title":"Bus route ridership change detection","prompt":"Here are two exports of our bus route ridership data from different months, each under 200 rows with row_id, region, date, passenger_count, and service_count — please compare them by row key and give me the category frequency breakdown for both."}],"resultDescription":"Returns two independent analytical reports: (1) a category frequency report showing how often each region or categorical value appears in the submitted ridership records, and (2) a keyed dataset comparison report highlighting row-by-row differences in passenger_count and service_count between the two supplied datasets, matched by row_id.","failureModes":["Exceeding 200 rows per dataset returns a validation error","Missing required fields (row_id, region, date, passenger_count, service_count) causes rejection","Invalid date format (non-YYYY-MM-DD) fails schema validation","Mismatched row_ids between datasets may result in unmatched rows in the comparison report","Payment of 0.01 USDC not provided returns 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you need both a categorical frequency profile and a direct keyed comparison between two transport ridership snapshots in a single call, without requiring any external data sources, live lookups, or predictions. It is ideal for detecting changes between dataset versions and understanding regional distribution of ridership records when you already have structured data with passenger_count and service_count fields.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:11.596Z","isFirstParty":false,"canonicalSlug":"transport-ridership-category-frequencies-keyed-dataset-comparison-85b3c24d"}