Rafael Barreto Haddad

Combine layoff and hiring datasets to detect company workforce reversals, recovery and renewed contraction.

Analyze LinkedIn people and employee datasets to identify buyer committees, role fit, influence, contactability and account-priority signals for B2B sales research.

Use this Actor to analyze linkedin employee movement and workforce and return decision-ready structured signals. Analyze current and previous public LinkedIn employee datasets to detect hires, departures, role changes and workforce expansion signals.

Use this Actor to analyze linkedin profile post competitor and return decision-ready structured signals. Analyze LinkedIn profile post datasets to track publishing cadence, engagement momentum, breakout posts and competitor content changes.

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.

Use this Actor to monitor mcp tool trust, permission and schema drift changes and return decision-ready change signals. Compare MCP tool snapshots for permission expansion, schema drift and poisoning signals, then emit trust scores and ALLOW, REVIEW or BLOCK actions.

Use this Actor to monitor mercadolibre competitor price and stock change changes and return decision-ready change signals. Turn recurring ecommerce datasets into mercadolibre competitor price and stock change intelligence with snapshot deltas, confidence-scored GO/WARN/BLOCK decisions, and agent-rea

Use this Actor to analyze occupation demand by metro and return decision-ready structured signals. Rank occupation demand, acceleration and concentration by metropolitan area from recurring job datasets.

Use this Actor to analyze microsoft appsource market and return decision-ready structured signals. Analyze Microsoft AppSource datasets to detect growth, pricing drift, rating changes, adoption momentum, new entrants and competitive opportunity.

Scrape public MetaTrader 4 and MetaTrader 5 Market listings by platform, category and pricing segment. Export product, author, price, rating, review and listing-position data with optional previous-run market change tracking.

Use this Actor to monitor multifamily rent concession drift changes and return decision-ready change signals. Turn rental-listing snapshots into property and market-level concession expansion, effective-rent pressure and leasing weakness intelligence.

Use this Actor to analyze npi provider affiliation and movement and return decision-ready structured signals. Turn recurring health datasets into npi provider affiliation and movement intelligence with snapshot deltas, confidence-scored GO/WARN/BLOCK decisions, and agent-ready recommended actions.

Use this Actor to monitor openapi contract and breaking change changes and return decision-ready change signals. Compare OpenAPI specifications and identify removed paths, methods, parameters, responses, and required-field changes before clients break.

Use this Actor to analyze patent transfer and manda signal and return decision-ready structured signals. Turn patent and assignment datasets into IP-acquisition momentum, assignee concentration, technology expansion and MandA watch signals.

Use this Actor to analyze press release narrative shift and return decision-ready structured signals. Compare recurring corporate press-release datasets to detect topic, product, geography, claim, and strategic narrative shifts over time.

Use this Actor to analyze product launch and delisting and return decision-ready structured signals. Detect product launches, removals and assortment shifts from recurring ecommerce catalog datasets.

Use this Actor to monitor property assessment change changes and return decision-ready change signals. Turn assessor snapshots into parcel-level assessed-value jumps, tax-base shifts and reassessment anomaly intelligence.

Use this Actor to analyze property tax lien distress and return decision-ready structured signals. Turn county tax-lien datasets into property-level delinquency acceleration, lien amount and distress-concentration intelligence.

Use this Actor to analyze web app installability and release readiness and return decision-ready structured signals. Audit web app manifests, service workers, icons, HTTPS and installability regressions with release scores and agent-ready remediation actions.

Use this Actor to analyze rag pipeline latency and slo bottleneck profiler and return decision-ready structured signals. Profile RAG stage latency, tail percentiles, SLO breaches and bottlenecks from pipeline traces.

Use this Actor to extract rag-ready website research and knowledge crawler into clean structured results for automation and AI workflows. Turn public web pages into clean research records with text quality, provenance, fingerprints, chunk-ready content and change signals for RAG and AI-agent pipelin

Analyze Reddit topic or mention datasets to identify rising complaints, reputation issues, negative-sentiment shifts and repeat-run changes that need brand or support attention.

Analyze Reddit discussion datasets to find recurring consumer pain points, complaint growth, purchase intent and feature requests, then track which problems are accelerating over time.

Use this Actor to monitor remote work policy change changes and return decision-ready change signals. Measure employer remote, hybrid and onsite policy shifts from recurring job datasets.