Apify Dataset Quality Gate & Validation Integration

Dataset Quality Gate - Schema & Data QA

jy-labs/dataset-quality-gate

Apify Dataset data validation and schema validation for JSON rows. Check Dataset ID, Run ID, or pasted items before delivery, automation, or AI/RAG ingestion.

Use this Actor to analyze dataset deduplication and merge and return decision-ready structured signals. Find duplicate groups in Apify datasets, quantify duplicate risk, and generate deterministic merge recommendations without mutating the source.

Use this Actor to analyze pinduoduo product, price and seller and return decision-ready structured signals. Extract Pinduoduo product recommendations with prices, store-level demand signals, price deltas, discount analytics and decision-ready commerce intelligence.

Use this Actor to analyze dataset pii and sensitive data exposure and return decision-ready structured signals. Scan Apify datasets for likely personal or sensitive data patterns and return masked, field-level exposure evidence for privacy and pipeline controls.

Use this Actor to monitor dataset diff and change changes and return decision-ready change signals. Compare two Apify datasets or inline snapshots and explain added, removed, and changed records plus field-level change frequencies.

Rank TikTok creators by growth, engagement quality, audience efficiency and repeatable commercial signals using current and previous snapshots.

Use this Actor to analyze ai runtime risk and action governance and return decision-ready structured signals. Analyze AI-agent runtime traces, tool calls, approvals, permissions and side effects to detect policy violations, privilege creep, sensitive-data exposure and high-risk autonomous actions, w

Use this Actor to analyze jd.com product, seller and price and return decision-ready structured signals. Monitor JD.com SKUs with product, seller, price, availability, snapshot deltas and decision-ready price intelligence.

Use this Actor to analyze dataset cardinality and anomaly profiler and return decision-ready structured signals. Profile field completeness, cardinality, type distributions, and numeric ranges, then compare them with a baseline to flag data-shape anomalies.

Use this Actor to analyze llm model pricing, deprecation and migration and return decision-ready structured signals. Track model pricing, deprecations, context and availability changes across AI providers, then rank migration risk, cost impact and replacement priorities.