{"uid":"cap_HDY_B6V1PCQbExbbCETEj","slug":"research-sample-recovery-numeric-distribution-7065697e","name":"Research Sample Recovery – Numeric Distribution","description":"Research sample recovery - Numeric distribution: Numeric distribution for Research sample recovery. Up to 200 supplied typed records. Local descriptive analytics; no enrichment or forecast. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded numeric distribution report.","url":"https://market.datapackvibe.com/x402/assistant-ar-analytics-sample-recovery-describe?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","specimen","date","input_mass_g","recovered_mass_g"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"specimen":{"type":"string","default":"","maxLength":80},"input_mass_g":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"recovered_mass_g":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","specimen":"group-a","input_mass_g":10,"recovered_mass_g":1},{"date":"2026-10-02","row_id":"row-2","specimen":"group-b","input_mass_g":20,"recovered_mass_g":2},{"date":"2026-10-03","row_id":"row-3","specimen":"group-a","input_mass_g":15,"recovered_mass_g":3},{"date":"2026-10-04","row_id":"row-4","specimen":"group-b","input_mass_g":30,"recovered_mass_g":4}],"maxItems":200,"minItems":1},"field":{"enum":["input_mass_g","recovered_mass_g"],"type":"string","default":"input_mass_g"}}},"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_uPMvzGUB_1i507Qzh8HV2","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 a local descriptive numeric distribution report for up to 200 research sample recovery records, analyzing either input mass or recovered mass values.","exampleAgentPrompt":"I have 150 sample recovery records with specimen groups, dates, and both input and recovered mass values in grams — can you run a numeric distribution analysis on the recovered_mass_g field so I can see the spread and descriptive stats?","exampleUseCases":[{"title":"Lab batch recovery mass analysis","prompt":"We just finished a recovery experiment with 80 specimens across two groups collected in October 2026. Can you compute a numeric distribution report on the recovered_mass_g values so we can see how recovery is spread across the batch?"},{"title":"Input mass uniformity check","prompt":"I have 120 sample records with specimen labels and input masses in grams. Run a distribution analysis on the input_mass_g field so I can see whether the input masses are consistent or skewed across our sample set."},{"title":"Specimen group recovery comparison prep","prompt":"We have 60 rows of sample recovery data split between group-a and group-b specimens from last week. Can you generate a numeric distribution summary for the recovered_mass_g column so we can start comparing the two groups?"}],"resultDescription":"A bounded numeric distribution report covering descriptive statistics (such as min, max, mean, median, standard deviation, and distribution shape indicators) for the selected mass field (input_mass_g or recovered_mass_g) across the supplied rows. No enrichment, forecasting, or external data is added — analytics are computed locally from the provided records only.","failureModes":["Empty rows array or missing required fields (row_id, specimen, date, input_mass_g, recovered_mass_g) causes validation error","More than 200 rows submitted — exceeds maxItems limit and will be rejected","Invalid date format (not YYYY-MM-DD) causes schema validation failure","All values for the selected field are null — distribution computation may return empty or degenerate result","Invalid field enum value (anything other than input_mass_g or recovered_mass_g) causes rejection","Payment failure or insufficient USDC balance prevents execution"],"whenToPreferThis":"Choose this endpoint when you have raw tabular sample recovery records (up to 200 rows) and need a quick, local descriptive numeric distribution for either input or recovered mass — without any external enrichment, forecasting, or complex analytics pipeline. Ideal for lab automation agents that need on-demand statistical summaries of experiment batches at low cost ($0.01 USDC per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:12.695Z","isFirstParty":false,"canonicalSlug":"research-sample-recovery-numeric-distribution-7065697e"}