From YouTube views to Twitter threads, LinkedIn interactions, CRMs and ERPs — one integrations hub that ingests, aligns and forecasts social and system data in real time.
Automate connectors and workflows across your tech stack, trigger enrichment pipelines, and receive AI-driven forecasts that predict audience movement, lead quality, and revenue impact.
Native links to YouTube, Twitter, LinkedIn, top CRMs, ERPs, and leading automation platforms.
Each connector is built for scale, with OAuth-first security, adaptive rate handling, and schema mapping that preserves context across disparate systems.
POST /v1/connectors/youtube Authorization: Bearer YOUR_API_KEY { "channel_id": "UC...", "sync_mode": "realtime" }Push events the moment they happen with sub-second latency.
True two-way data flow with conflict resolution and delta sync.
Pattern-derived attributes injected directly into target systems.
Automatic normalization and contextual enrichment.
End-to-end encryption with SOC-ready logging.
RESTful, GraphQL endpoints with realtime websockets.
Visual designer plus code-runner blocks for hybrid teams.
Per-connector dashboards with auto-diagnostics.
White-glove migration and SLA-backed uptime.
Everything your engineers need to connect YouTube, Twitter, LinkedIn, CRMs, ERPs, and automation platforms to our agentic enrichment and forecasting engine.
Built for scale, designed for predictability — integrate once, power forecasts everywhere.

API Keys, OAuth 2.0, and service tokens. All endpoints require TLS 1.2+ with role-based scopes.
Core endpoints: /ingest, /enrich, /forecast, /graphs, and /export with pagination and delta sync.
Official SDKs in TypeScript, Python, and Java with typed models and automatic retry strategies.
Webhooks deliver enrichment events, forecast alerts, and anomaly notifications. Configure multiple endpoints with filtering policies, signing keys for verification, and delivery guarantees.
POST https://your-app.com/webhooks/dataflow X-DataFlow-Signature: sha256=... { "event": "forecast.updated", "confidence": 0.94, "data": { ... } }Forecast responses include confidence bands, contributing signals per-source attribution, and model metadata. Use /forecast/explain for signal breakdowns and scenario simulations.
Consistent error envelope with code, subcode, message, retriable flag, and diagnostics ID. Include the diagnostics ID when contacting support for rapid triage.
Explore curated integration flows that show how DataFlow Insights turns social signals into forecast-ready intelligence.
Ingest YouTube sentiment, Twitter anomaly spikes, and LinkedIn network changes. Enrich transaction logs and push alerts to your fraud engine.
Aggregate patient-facing content interactions and feed forecasts into appointment demand models and resource planning.
Combine LinkedIn career moves and Twitter signals to build talent propensity scores and forecast hiring windows by role.
Fuse social trend accelerations with supplier reputation indicators. Forecast demand volatility and automate procurement workflows.
Build automation workflows that span social networks, CRMs, ERPs and your custom endpoints.
Evaluates pattern signals in real-time with confidence scores and time-to-event predictions.


Compose composite KPIs using weighted signals from any connected source and compare backtests.
Drill from aggregated forecasts down to individual posts, accounts, or transactions with dynamic filters.
Enterprise-grade control for integrations and API access.
Role-based and attribute-aware policies with time-limited tokens.
OAuth2, mTLS, and rotating API keys with encrypted secret stores.
Schema-aware ingestion rules with lineage capture and field masking.
API tiers that match pilot projects through enterprise deployments. Choose by connectors, automation runs, and forecasting requests.