{"uid":"cap_gj4S93yl7jjG2NKZpLvOE","slug":"market-survey-observations-numeric-row-ordering-adjacent-row-changes-c2c6bb3a","name":"Market Survey Observations — Numeric Row Ordering & Adjacent Row Changes","description":"Market survey observations — Numeric row ordering + Adjacent row changes: Numeric row ordering + Adjacent row changes 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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-company-06-116?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"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},"field":{"enum":["respondent_count","sample_weight"],"type":"string","default":"respondent_count"}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_lZjO_iydr1ms_lC0MgACh","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Computes numeric row ordering and adjacent row changes for market survey observation records (respondent_count or sample_weight) across up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Analyze my market survey data for numeric row ordering and adjacent row changes on the respondent_count field — here are the rows: row-1, group-a, 2026-10-01, respondent_count=10, sample_weight=1; row-2, group-b, 2026-10-02, respondent_count=20, sample_weight=2; row-3, group-a, 2026-10-03, respondent_count=15, sample_weight=3.","exampleUseCases":[{"title":"Tracking respondent count shifts over time","prompt":"I have 50 market survey records with dates and respondent counts across two company groups — can you rank them numerically and show me how respondent_count changes between adjacent rows?"},{"title":"Auditing sample weight progression by group","prompt":"Run numeric row ordering and adjacent-row change analysis on my survey dataset using the sample_weight field — I want to see how weights shift row to row across group-a and group-b observations."},{"title":"Validating survey data consistency","prompt":"Check my market survey export for sequential anomalies: order all 120 rows by date and give me the adjacent differences in respondent_count so I can spot any unexpected jumps between records."}],"resultDescription":"Two analytical reports: (1) numeric row ordering — each row ranked/sorted by the chosen field value (respondent_count or sample_weight); (2) adjacent row changes — the delta between each row and its neighbor in the ordered sequence, surfacing step-changes or trends across up to 200 survey observation records.","failureModes":["More than 200 rows submitted — request rejected with validation error","Missing required fields (row_id, date, company_group) — schema validation failure","Invalid date format (not YYYY-MM-DD) — pattern validation error","Field value outside numeric bounds — rejected with range error","Empty rows array — minItems violation","Unrecognized field enum value — rejected with enum validation error"],"whenToPreferThis":"Choose this endpoint when you have market survey tabular data (respondent_count or sample_weight) and need both a numeric ordering and adjacent-row delta analysis in a single call, without any external lookup or prediction. It is specifically designed for market survey observation schemas and bundles two reports for $0.01 USDC, making it cost-effective for batch survey QA or trend auditing up to 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T06:39:54.548Z","isFirstParty":false,"canonicalSlug":"market-survey-observations-numeric-row-ordering-adjacent-row-changes-c2c6bb3a"}