Brandon Mensing

Track your brand's share of voice across AI answer engines — ChatGPT, Perplexity, Gemini, Google AI Overviews. Deterministic deltas and statistical anomaly alerts against your rolling baseline, on a schedule. Stateless: you hold the memory, we store nothing.

Repair the CSV that will not load: wrong delimiters, unquoted values, ragged rows, blank and duplicate headers, mojibake. Get back rectangular typed records plus a report of exactly what changed. Nothing is invented and nothing is dropped, so ragged rows are named, never truncated.

Collapse duplicates in any dataset, in two passes you control. Exact matching ignores case, punctuation, and word order; an optional fuzzy pass catches the near-duplicates normalization cannot. Every decision is explained in an audit trail, and a cross-run ledger remembers what you already got.

Merge duplicate places from Google Maps scraper runs — by placeId, phone, or fuzzy name+address — including duplicates from previous runs. Only get what's new, cut enrichment costs, and keep a full audit trail. Stateless: you hold the memory, we store nothing.

Check that your model's JSON matches the schema you asked for. Every failure comes back with its path, the keyword it broke, and the repair that would fix it. Shape repairs are opt-in and never invent content, so a repair can never hide a real failure.

Run your scraper on a schedule and get back only what you have never seen before. Name the field that identifies an item, pipe any dataset in, and this actor holds back everything already delivered. Records pass through untouched. The ledger is yours, not a database you rent.

Catch the day your scrape silently breaks. Point it at any scraper's dataset and get one verdict per run: fields that emptied out, fields that vanished, types that changed, volumes that collapsed, all judged against your own rolling baseline. Deterministic, stateless, priced per run not per row.