{"uid":"cap_tjpcpfJyFONQZFry5ZAku","slug":"url-canonicalization-numeric-interval-filter-date-by-category-pivot-fd802b6f","name":"URL Canonicalization — Numeric Interval Filter + Date by Category Pivot","description":"URL canonicalization — Numeric interval filter + Date by category pivot: Numeric interval filter + Date by category pivot for supplied url canonicalization records (observed_urls, unique_urls). 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-web-20-133?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","observed_urls","unique_urls"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"site_group":{"type":"string","default":"","maxLength":80},"unique_urls":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"observed_urls":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","unique_urls":1,"observed_urls":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","unique_urls":2,"observed_urls":20},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","unique_urls":3,"observed_urls":15},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","unique_urls":4,"observed_urls":30}],"maxItems":200,"minItems":1},"field":{"enum":["observed_urls","unique_urls"],"type":"string","default":"observed_urls"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_RAAaexPjnbUg3wijousrf","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":"Runs two analytical reports on user-supplied URL canonicalization data: filters rows by a numeric interval on observed/unique URL counts, and pivots date-based metrics by site category.","exampleAgentPrompt":"I have URL canonicalization data for four site groups across October 2026 — can you filter the rows where observed_urls is between 10 and 30, and also pivot unique_urls by site_group and date? Here are the rows: row-1 (group-a, 2026-10-01, unique=1, observed=10), row-2 (group-b, 2026-10-02, unique=2, observed=20), row-3 (group-a, 2026-10-03, unique=3, observed=15), row-4 (group-b, 2026-10-04, unique=4, observed=30).","exampleUseCases":[{"title":"SEO audit of crawl volume by site group","prompt":"I have a week of URL crawl data split across three site groups — can you filter out the rows where observed_urls is between 0 and 50, and then show me a pivot of observed_urls broken down by site_group and date? I'll paste the rows: row-1 (alpha, 2026-11-01, unique=5, observed=45), row-2 (beta, 2026-11-02, unique=12, observed=80), row-3 (alpha, 2026-11-03, unique=7, observed=30)."},{"title":"Identifying low-traffic canonicalization groups","prompt":"Can you run an interval filter on my URL canonicalization records to find rows where unique_urls is between 1 and 5, and also pivot the unique_urls count by site_group per date? My data: row-1 (group-x, 2026-09-10, unique=2, observed=100), row-2 (group-y, 2026-09-11, unique=6, observed=200), row-3 (group-x, 2026-09-12, unique=4, observed=90), row-4 (group-z, 2026-09-13, unique=1, observed=50)."},{"title":"Monthly site-group URL trend breakdown","prompt":"I want two reports on my URL data for October: one filtering observed_urls between 100 and 500, and one pivoting observed_urls by site_group across dates. Here are my rows: row-1 (main-site, 2026-10-05, unique=20, observed=150), row-2 (blog, 2026-10-06, unique=8, observed=80), row-3 (main-site, 2026-10-07, unique=25, observed=400), row-4 (blog, 2026-10-08, unique=10, observed=60)."}],"resultDescription":"Returns two reports derived from the supplied rows: (1) a numeric interval-filtered subset of records where the chosen field (observed_urls or unique_urls) falls between the specified minimum and maximum values, and (2) a date-by-category pivot table aggregating the selected metric by site_group across dates. Up to 200 input rows are supported per call.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds limit","Invalid date format (not YYYY-MM-DD) — schema validation error","Missing required fields (row_id, site_group, date, observed_urls, unique_urls) — request rejected","minimum greater than maximum — likely returns empty interval filter result","Field value not in enum (observed_urls, unique_urls) — schema validation error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 URL canonicalization records with site_group and date dimensions and need both a numeric band filter and a category-date pivot in one call for $0.01 USDC. It is ideal for lightweight, offline analytical reporting on crawl or SEO data without requiring a live database or external lookup service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:45.542Z","isFirstParty":false,"canonicalSlug":"url-canonicalization-numeric-interval-filter-date-by-category-pivot-fd802b6f"}