Tim Zinin

Benchmark visible pay-per-event prices in a declared public Apify Store cohort. Get exact percentiles, comparator evidence, confidence, gaps, and a test range. Listed prices do not prove value, volume, margin, or willingness to pay.

Compare buyer-supplied Apple App Store or Google Play reviews before and after a release. Get one deterministic regression report with rating and topic shifts, confidence, representative evidence, data gaps, and unsent review actions. No review fetching, telemetry, or causal attribution.

Analyze submitted clinic websites for evidence-backed booking and reception-channel gaps, confidence, audit angles, enrichment needs, and manual qualification actions.

Return bounded factual rows from one buyer-authorized Comeet public careers feed.

Compare buyer-authorized Meta, Google Ads, or LinkedIn evidence snapshots. Get one auditable competitor-ad change report with baseline truth, materiality, confidence, evidence gaps, and unsent human-review actions. No source fetching or campaign automation.

Turn buyer-authorized container event snapshots into deterministic ETA, milestone, free-time, cost-exposure, confidence, limitation, and human-review evidence. No carrier scraping, reference fetching, legal verdict, automatic claim, or provider key.

Scan submitted public pages for deterministic accessibility and privacy HTML indicators, weighted gaps, confidence, evidence, and audit actions—without compliance verdicts.

Scan submitted public pages for deterministic AI-use and transparency disclosure signals, weighted gaps, confidence, evidence, and audit actions—without legal verdicts.

Compare two buyer-authorized factual job-board snapshots and report observed additions, removals and changed fields.

Rank recent commercial permit and license records from five fixed US city datasets, with source evidence, recency, confidence, enrichment gaps, and next actions.

Unofficial, independent Actor; not affiliated with or endorsed by any named source publisher. Turn today’s allowed official publications into watchlist-linked action evidence.

Compare aggregate commercial-vessel pressure across two fixed Panama Canal approach zones. Get side imbalance, movement, observed dwell, baseline change, freshness, confidence, gaps, and a human review action without exposing raw vessel identities or claiming official Canal queues.

Analyze submitted restaurant websites for evidence-backed reservation and contact gaps, booking providers, confidence, audit angles, and manual qualification actions.

Compare official monthly Singapore bunker demand, tanker arrivals, fuel mix, and vessel calls in one evidence report. Add optional bounded BYOK tanker pressure, with publication lag, freshness, confidence, null reasons, provenance, gaps, and human review.

Compare aggregate commercial-tanker observations across three fixed Strait of Hormuz zones with seven- and thirty-observation baselines. Get deterministic recovery labels, freshness, confidence, gaps, and a human-review action without exposing raw identities or positions.

Normalize authorized or licensed trademark evidence records into provenance-linked review rows with stable identity, freshness, visible gaps, human actions, and current-run settlement. Zero external source requests or automated business decisions.

Turn 1–100 buyer-supplied brand evidence rows into one deterministic citation-table report with preserved fields and HTTPS URLs, bounded Markdown, source and host counts, verification gaps, and SHA-256 digests. Sources are never fetched or verified; run start is separate.

Compare two buyer-supplied evidence snapshots in one deterministic report. Separate added, removed, changed, and unchanged records with stable digests, evidence gaps, human review actions, and current-run billing truth. No source fetching.

Get one bounded, official USAspending prime-contract snapshot for an exact recipient ID and date window. Preserve verified recipient identity, source as-of, first-page coverage limits, evidence gaps, human review action, and current-run billing truth.

Normalize buyer-supplied offer evidence into review-required delivery candidates. Check submitted-field consistency, preserve terms and attribution metadata, and expose evidence gaps without fetching a source or claiming external verification.

Group buyer-supplied signal rows by brand, event type, severity, or analysis status. Get one deterministic grouping report with complete counts, stable digests, evidence gaps, and a human review action. It does not create separate Datasets.

Summarize buyer-supplied signal rows by brand in one deterministic report. Preserve event, severity, status, and recorded-source counts with stable digests, evidence gaps, and a human review action. No source fetching or external verification.

Turn 1–50 buyer-supplied signal rows into one deterministic severity brief. Get complete CRITICAL/HIGH/MEDIUM/LOW sections, ordered projections, stable digests, explicit evidence gaps, and a human review action without source fetching or external verification.

Apply explicit buyer-owned accept and review thresholds to normalized signal scores. Get one deterministic report with accepted, review, and rejected queues, stable digests, evidence gaps, human review action, and current-run billing truth.