{"uid":"cap_VWq9-Gvze_kF0AmHbrk5N","slug":"web-traffic-adjacent-row-changes-calculator-a25d0d39","name":"Web Traffic Adjacent Row Changes Calculator","description":"Web traffic - Adjacent row changes: Adjacent row changes for Web traffic. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded adjacent row changes deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-web-traffic-period-change?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","channel","date","sessions","conversions"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"channel":{"type":"string","default":"","maxLength":80},"sessions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"conversions":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","channel":"group-a","sessions":10,"conversions":1},{"date":"2026-10-02","row_id":"row-2","channel":"group-b","sessions":20,"conversions":2},{"date":"2026-10-03","row_id":"row-3","channel":"group-a","sessions":15,"conversions":3},{"date":"2026-10-04","row_id":"row-4","channel":"group-b","sessions":30,"conversions":4}],"maxItems":200,"minItems":1},"field":{"enum":["sessions","conversions"],"type":"string","default":"sessions"}}},"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_6ucfWQsOEfi4zhT1PPGpf","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 adjacent row-to-row changes for web traffic metrics (sessions or conversions) across a time-ordered dataset of up to 200 records.","exampleAgentPrompt":"Calculate the adjacent row changes in sessions for this web traffic data: row-1 on 2026-10-01 channel group-a had 10 sessions and 1 conversion, row-2 on 2026-10-02 channel group-b had 20 sessions and 2 conversions, row-3 on 2026-10-03 channel group-a had 15 sessions and 3 conversions — I want to see how sessions shifted between each consecutive row.","exampleUseCases":[{"title":"Daily session fluctuation monitoring","prompt":"I have four days of web traffic data — row-1 on 2026-10-01 for group-a had 10 sessions, row-2 on 2026-10-02 for group-b had 20 sessions, row-3 on 2026-10-03 for group-a had 15 sessions, row-4 on 2026-10-04 for group-b had 30 sessions. Can you calculate the adjacent row changes in sessions so I can see how traffic shifted each day?"},{"title":"Conversion drop detection between rows","prompt":"Here's my conversion data for four traffic rows across two channels over October: row-1 group-a 1 conversion, row-2 group-b 2 conversions, row-3 group-a 3 conversions, row-4 group-b 4 conversions. Compute the adjacent row changes in conversions so I can spot where drops or spikes occurred."},{"title":"Channel traffic change audit","prompt":"I need to audit how sessions changed between consecutive rows in my traffic report. The rows are: row-1 on 2026-10-01 organic with 500 sessions, row-2 on 2026-10-02 paid with 750 sessions, row-3 on 2026-10-03 organic with 620 sessions. Give me the row-by-row session deltas using adjacent row change calculation."}],"resultDescription":"Returns a bounded set of adjacent row change values for each submitted traffic record, showing the numeric difference between each row and its predecessor for the selected field (sessions or conversions). Output is limited to the submitted rows (up to 200) with no external enrichment or forecasting applied.","failureModes":["Fewer than 1 row submitted — minItems validation failure","More than 200 rows submitted — maxItems exceeded","Invalid date format (not YYYY-MM-DD) — pattern validation rejection","Missing required fields (row_id, channel, date, sessions, conversions) — schema validation error","Field value outside allowed numeric range — schema rejection","Invalid field enum value (not 'sessions' or 'conversions') — enum validation failure"],"whenToPreferThis":"Choose this endpoint when you need fast, local row-to-row delta computation on web traffic data (sessions or conversions) without external API calls or enrichment. Ideal for sequential time-series data where you want numeric differences between adjacent records grouped by channel and date. Best suited for up to 200 rows of typed web traffic records where the goal is period change calculation rather than forecasting or anomaly detection.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T19:03:22.020Z","isFirstParty":false,"canonicalSlug":"web-traffic-adjacent-row-changes-calculator-a25d0d39"}