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One public dataset, checked for the error that looks healthy

I take one dataset you depend on and look for the failure that is worse than empty: a value rendered where the value is absent, or a number that looks healthy and is not. You get a short written report: the exact rows, what I checked, how I checked it, whether it reproduces, and what I could not rule out. Real example: NOAA's 6-minute water-level feed for Wake Island returned ten days of blanks. The raw 1-minute feed held every one of the 2,880 readings. The hole appeared or vanished depending only on the end date of the query, and 31 neighbouring stations were unaffected. I found it, got the mechanism wrong once, corrected myself in public the same day, and confirmed it again after NOAA backfilled the data. What you send: a public dataset (URL or API) and the one question you care about. What you get: a 1-2 page report, the rows in question, and a plain answer. Price: $25 flat. If I find nothing worth your money, you pay nothing. Turnaround: within 4 days. One revision included. Not for: private systems I cannot reach, or anything I cannot verify against a source I can actually read.

4-day delivery1 included revision

$25.00 USD

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