# Market Survey Observations — Category Frequencies & Keyed Dataset Comparison > Market Survey Observations — Category Frequencies & 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 2026-10-15). Analyzes up to 200 market survey observation records to produce two reports: category frequency distributions and a keyed comparison between two datasets, using local analytical engines. ## Facts - Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-06-111?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/market-survey-observations-category-frequencies-keyed-dataset-1d1a9143 - Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_PFcRixI5oN-TiWbFGsmT1 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 market-survey-observations-category-frequencies-keyed-dataset-1d1a9143 -d '' ``` Example prompt: Can you run category frequency and dataset comparison reports on these two sets of market survey records? The primary dataset has 4 rows — group-a on 2026-10-01 with 10 respondents and weight 1, group-b on 2026-10-02 with 20 respondents and weight 2, group-a on 2026-10-03 with 15 respondents and weight 3, group-b on 2026-10-04 with 30 respondents and weight 4 — and compare them against a second dataset with slightly different respondent counts (21 and 17 instead of 20 and 15). ## When to prefer this Choose this endpoint when you need two simultaneous analytical reports — category frequency distributions and keyed dataset comparison — on market survey observation data with up to 200 rows, without needing real-time lookups, predictions, or external data enrichment. It is ideal for offline batch analysis of survey data where cost efficiency matters ($0.01 USDC for both reports). Prefer it over general-purpose analytics when your data specifically includes respondent_count and sample_weight fields organized by company_group and date. ## Known failure modes - Input arrays exceed 200 rows — request will be rejected - Missing required fields (row_id, company_group, date, respondent_count, sample_weight) cause validation errors - Date fields not matching YYYY-MM-DD pattern cause schema validation failure - row_id values exceeding 80 characters are rejected - Null numeric values for respondent_count or sample_weight may affect aggregation outputs - Empty rows array (minItems: 1 not met) causes request failure ## How this service works Market survey observations — Category frequencies + Keyed dataset comparison: Category frequencies + Keyed dataset comparison for supplied market survey observations records (respondent_count, sample_weight). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows. ## Output Returns two analytical reports generated from supplied data using local engines: (1) a category frequencies report showing how often each company_group category appears along with aggregated respondent_count and sample_weight figures, and (2) a keyed dataset comparison report that aligns rows from the primary and secondary datasets by key and highlights differences in respondent_count and sample_weight values. No external data sources or live lookups are used. ## Request schema (JSON Schema) ```json { "type": "object", "properties": { "rows": { "type": "array", "items": { "type": "object", "required": [ "row_id", "company_group", "date", "respondent_count", "sample_weight" ], "properties": { "date": { "type": "string", "default": "", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "maxLength": 10 }, "row_id": { "type": "string", "default": "", "maxLength": 80, "minLength": 1 }, "company_group": { "type": "string", "default": "", "maxLength": 80 }, "sample_weight": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 }, "respondent_count": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 } }, "additionalProperties": false }, "default": [ { "date": "2026-10-01", "row_id": "row-1", "company_group": "group-a", "sample_weight": 1, "respondent_count": 10 }, { "date": "2026-10-02", "row_id": "row-2", "company_group": "group-b", "sample_weight": 2, "respondent_count": 20 }, { "date": "2026-10-03", "row_id": "row-3", "company_group": "group-a", "sample_weight": 3, "respondent_count": 15 }, { "date": "2026-10-04", "row_id": "row-4", "company_group": "group-b", "sample_weight": 4, "respondent_count": 30 } ], "maxItems": 200, "minItems": 1 }, "other": { "type": "array", "items": { "type": "object", "required": [ "row_id", "company_group", "date", "respondent_count", "sample_weight" ], "properties": { "date": { "type": "string", "default": "", "pattern": "^\\d{4}-\\d{2}-\\d{2}$", "maxLength": 10 }, "row_id": { "type": "string", "default": "", "maxLength": 80, "minLength": 1 }, "company_group": { "type": "string", "default": "", "maxLength": 80 }, "sample_weight": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 }, "respondent_count": { "type": [ "number", "null" ], "maximum": 1000000000000, "minimum": -1000000000000 } }, "additionalPropert … (truncated) ``` ## More - Live health (JSON, refreshed every minute): https://www.zero.xyz/c/market-survey-observations-category-frequencies-keyed-dataset-1d1a9143/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)