{"uid":"cap_chQhJYOusKsfNeodXSjQD","slug":"accessibility-findings-string-normalisation-base-100-series-c56d7c40","name":"Accessibility Findings — String Normalisation + Base-100 Series","description":"Accessibility findings — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied accessibility findings records (findings, resolved_findings). 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-game-17-030?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","game_area","date","findings","resolved_findings"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"findings":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"game_area":{"type":"string","default":"","maxLength":80},"resolved_findings":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","findings":10,"game_area":"group-a","resolved_findings":1},{"date":"2026-10-02","row_id":"row-2","findings":20,"game_area":"group-b","resolved_findings":2},{"date":"2026-10-03","row_id":"row-3","findings":15,"game_area":"group-a","resolved_findings":3},{"date":"2026-10-04","row_id":"row-4","findings":30,"game_area":"group-b","resolved_findings":4}],"maxItems":200,"minItems":1},"field":{"enum":["findings","resolved_findings"],"type":"string","default":"findings"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_NBCtR7mUPyrFuTDs4SvWq","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 string normalisation and Base-100 index series analytics on up to 200 rows of accessibility findings data (findings and resolved_findings fields), returning 2 independent reports per call.","exampleAgentPrompt":"Take my accessibility findings data — 4 rows across group-a and group-b from 2026-10-01 to 2026-10-04 with findings values 10, 20, 15, 30 and resolved_findings 1, 2, 3, 4 — and run string normalisation plus a Base-100 index series on the findings field starting from base index 0, giving me both reports.","exampleUseCases":[{"title":"Game area accessibility trend indexing","prompt":"I have weekly accessibility findings for two game areas over the past month — can you normalise the strings and produce a Base-100 index series on the findings column starting from the first row, so I can compare how each area's issues have grown relative to baseline?"},{"title":"Resolved findings progress report","prompt":"Run the string normalisation and Base-100 series on my resolved_findings data for these 8 game areas — I want to see how resolution progress indexes against row 2 as the base, so give me both reports."},{"title":"QA audit data pre-processing","prompt":"I'm prepping accessibility audit records for a QA review — can you apply string normalisation and generate a Base-100 index series on the findings field across all 50 rows, using row 0 as the base index?"}],"resultDescription":"Returns 2 independent analytical reports: one covering string normalisation of the supplied accessibility findings records, and one providing a Base-100 indexed series for the chosen numeric field (findings or resolved_findings), computed locally with no external lookups, covering up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected at maxItems limit","Missing required fields (row_id, game_area, date, findings, or resolved_findings) — validation error","Invalid date format (not YYYY-MM-DD) — schema pattern mismatch","base_index out of range (0–199) — validation error","Numeric values outside allowed range (±1,000,000,000,000) — validation error","Empty rows array — minItems violation"],"whenToPreferThis":"Choose this endpoint when you have accessibility findings records (with findings and resolved_findings numeric columns) and need both string normalisation and a Base-100 indexed time series in a single low-cost call. It is ideal for game QA workflows tracking accessibility issues by area and date, where you want relative trend indexing against a chosen baseline row without any external lookup or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:31:20.326Z","isFirstParty":false,"canonicalSlug":"accessibility-findings-string-normalisation-base-100-series-c56d7c40"}