Mehdi Badawi

Detect missed runs, explicit failures, empty output, and dead-letter growth in workflow observations you supply. Returns auditable verdicts and explicit unknowns instead of false green status.

Measure brand mentions, citations, explicit recommendation order, and run-to-run variance across AI-search observations you supply. Deterministic analysis without extra inference cost.

Turn a campaign manifest and collected post data into one verdict per creator deliverable: posted, late, missing, edited, removed, requirements failed, or unknown. Does not scrape social platforms.

Deduplicate job feeds from multiple sources without collapsing conflicting requisitions. Strips tracking links and returns stable canonical jobs with source provenance and confidence.

Compare marketplace listing snapshots and get field-level new, changed, removed, unchanged, or unknown results. Failed or incomplete evidence never becomes a false removal.

Normalize and compare California Prop 65 notice snapshots, then flag new or changed records that match your watchlist. Preserves source links and uncertainty; informational only.

Convert marketplace settlement CSV, TSV, or JSON exports into exact, currency-separated ledger rows with source provenance. Missing amounts stay unresolved instead of being guessed.

Preflight Shopify catalog, storefront, and merchant-feed data for missing fields, variant errors, taxonomy gaps, and feed-to-page drift. Returns exact issues and proposal-only fixes.

Find missing, pending, duplicate, late, and out-of-order webhook deliveries by reconciling provider manifests with receiver logs. Returns auditable results; does not deliver webhooks.

Track YouTube comment additions, edits, and removals across repeated runs with stable identities. Seeded demo is synthetic; incomplete live results never prove deletion.