{"uid":"cap_LDxynpWEZhqmyzkU8lNJA","slug":"link-inventories-data-quality-normalisation-analyser-f0f26fe7","name":"Link Inventories Data Quality & Normalisation Analyser","description":"Link inventories — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied link inventories records (internal_links, external_links). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-web-03-197?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","site_group","date","internal_links","external_links"],"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},"external_links":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"internal_links":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","site_group":"group-a","external_links":1,"internal_links":10},{"date":"2026-10-02","row_id":"row-2","site_group":"group-b","external_links":2,"internal_links":20},{"date":"2026-10-03","row_id":"row-3","site_group":"group-a","external_links":3,"internal_links":15},{"date":"2026-10-04","row_id":"row-4","site_group":"group-b","external_links":4,"internal_links":30}],"maxItems":200,"minItems":1},"field":{"enum":["internal_links","external_links"],"type":"string","default":"internal_links"},"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_DC2moMG0R7A7wN7-uGr9V","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 three local analytical reports on link inventory records: record quality audit, string normalisation, and numeric interval filter for internal_links and external_links fields.","exampleAgentPrompt":"Can you run a quality audit, string normalisation, and numeric interval filter on my link inventory data — here are up to 200 rows with row_id, site_group, date, internal_links, and external_links — and filter the internal_links field between 0 and 100?","exampleUseCases":[{"title":"Pre-processing SEO crawl export","prompt":"I've got a CSV export from our site crawler with internal and external link counts per page — can you audit the record quality, normalise the site_group strings, and flag any internal_links values outside the range 0 to 500?"},{"title":"Validating link data before dashboard load","prompt":"Before I load this link inventory into our dashboard, can you run a quality audit and string normalisation on these 150 rows, and also filter to only show rows where external_links falls between 1 and 1000?"},{"title":"Spotting anomalous link counts by site group","prompt":"I have weekly link inventory snapshots across several site groups — can you audit the data quality, clean up the site_group names, and filter the external_links field to the interval 0 to 250 so I can spot anything unusual?"}],"resultDescription":"Three independent reports covering: (1) a record quality audit flagging missing, malformed, or out-of-range values across the supplied rows; (2) a string normalisation report standardising site_group and other string fields; and (3) a numeric interval filter report identifying which rows fall within the specified minimum–maximum range for the chosen field (internal_links or external_links). All analysis is performed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","date field not in YYYY-MM-DD format — validation error","row_id missing or empty — schema violation","numeric values for internal_links or external_links outside ±1,000,000,000,000 — rejected","minimum greater than maximum — undefined filter behaviour","field enum value not one of internal_links or external_links — schema error"],"whenToPreferThis":"Choose this endpoint when you need a combined quality audit, string normalisation, and numeric interval filter on link inventory data (internal_links, external_links) in a single cost-effective call. It is purpose-built for link inventory datasets up to 200 rows and bundles three analytical reports for $0.01 USDC. Prefer alternatives if you need live web lookups, predictions, or reports on non-link-inventory data schemas.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T12:38:11.024Z","isFirstParty":false,"canonicalSlug":"link-inventories-data-quality-normalisation-analyser-f0f26fe7"}