{"uid":"cap_zyQpF8SDfbTSwyOFQjXH5","slug":"company-headcount-observations-string-normalisation-base-100-series-935f320a","name":"Company Headcount Observations — String Normalisation + Base-100 Series","description":"Company headcount observations — String normalisation + Base-100 series: String normalisation + Base-100 series for supplied company headcount observations records (headcount, open_roles). 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-12-030?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","company_group","date","headcount","open_roles"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"headcount":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"open_roles":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"company_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","headcount":10,"open_roles":1,"company_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","headcount":20,"open_roles":2,"company_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","headcount":15,"open_roles":3,"company_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","headcount":30,"open_roles":4,"company_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["headcount","open_roles"],"type":"string","default":"headcount"},"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_xUEUtv2Fdpq30glcMd6IW","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":"Normalises string fields and computes a Base-100 index series for supplied company headcount (or open_roles) observation records across up to 200 rows.","exampleAgentPrompt":"I have a batch of company headcount observations for two groups — 'Acme Corp' and 'Beta Ltd' — across 12 monthly dates; can you normalise the string fields and build a Base-100 series anchored to row 0 for the headcount field?","exampleUseCases":[{"title":"Benchmark headcount growth across divisions","prompt":"I've got monthly headcount records for three business divisions over the past year — can you normalise the company names and rebase the headcount numbers to 100 starting from the first row so I can compare growth rates on the same scale?"},{"title":"Index open roles over time for hiring trend report","prompt":"Here are weekly open-role counts for our two hiring groups from the last quarter; please normalise the string labels and produce a Base-100 series for the open_roles field anchored at row 0 so I can see relative hiring momentum."},{"title":"Standardise workforce data before cross-company dashboard","prompt":"I have 150 rows of headcount observations from several acquired companies with inconsistently formatted group names — run string normalisation and generate a Base-100 headcount index anchored to row 5 so the data is clean and comparable for the dashboard."}],"resultDescription":"Two analytical reports covering: (1) string-normalised versions of the supplied company_group and other string fields, and (2) a Base-100 index series for the selected field (headcount or open_roles) anchored at the specified base_index row, all computed locally without external lookups.","failureModes":["Fewer than 1 row supplied — minimum 1 row required","More than 200 rows submitted — hard limit enforced","base_index references a row index that doesn't exist in the submitted array","date strings that don't match YYYY-MM-DD pattern are rejected","Missing required fields (row_id, company_group, date, headcount, open_roles) cause validation failure","null headcount or open_roles at the base_index row may produce undefined base-100 result"],"whenToPreferThis":"Choose this endpoint when you have raw company headcount or open_roles observation records that need both string standardisation and Base-100 rebasing in a single low-cost call (0.01 USDC for both reports). It is ideal for offline/batch analytical prep of up to 200 rows where no live data lookup, prediction, or external enrichment is needed — pure local computation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T06:45:39.373Z","isFirstParty":false,"canonicalSlug":"company-headcount-observations-string-normalisation-base-100-series-935f320a"}