Data Feeds & Pipelines
A data pipeline that runs, refreshes, and alerts — not a one-time export.
We build structured, maintained, production data feeds: from source extraction through delivery into your system. Inventory, pricing, compliance, and news pipelines — delivered via API, webhook, file drop, or CRM sync with freshness SLAs and schema versioning.
What we build
A maintained pipeline, not a script you run once.
A data feed isn't a file you export and forget. It's a system that runs on a schedule, refreshes against the source, and tells you the moment something breaks.
InWork builds structured, maintained, production data feeds — from source extraction through delivery into your system. A pipeline that runs, refreshes, and alerts, with freshness SLAs and schema versioning so downstream consumers don't break when a source changes.
Feed types we build
Four feed categories, one maintained system.
From dealer inventory to regulatory watchlists, we ingest, normalize, and deliver the data your business runs on.
Inventory & Listing feeds
CatalogVehicle inventory (DMS → normalized JSON/XML → API or file delivery), real estate listings (MLS/RETS → normalized records → CRM or platform push), marine/RV/powersports dealer aggregation, eCommerce product feeds (Shopify/WooCommerce/BigCommerce → Google Merchant Center, Meta Catalog, Amazon Seller Central), and job posting feeds (ATS export → Indeed, LinkedIn, ZipRecruiter, formatted to each platform's spec).
Pricing & Market Data feeds
SignalsCompetitor price monitoring with delta alerting (price changed → trigger), auction pricing feeds (Manheim MMR, Black Book API, ADESA), fuel surcharge feeds for logistics, and commodity pricing feeds (USDA, CME, EIA).
Compliance & Regulatory feeds
WatchlistsDNC Registry updates with automated daily refresh for outbound communication compliance, OFAC watchlist feed integration for FinTech/Insurance KYC, NPI database refresh for healthcare platforms, and FMCSA carrier data refresh for logistics.
News & Event feeds
TriggersKeyword-monitored news aggregation (target company, industry, competitor), earnings and SEC filing triggers (EDGAR feed), patent filing monitoring (USPTO), and court record monitoring (PACER, state court systems).
Pipeline architecture
Engineered to ingest, process, store, deliver, and self-report.
Every layer is built like software — with monitoring, alerting, and backward-compatible schema evolution.
Ingestion — scheduled (cron), event-triggered (webhook), or streaming (Kafka/Kinesis), matched to how often the source changes.
Processing — Python Lambda functions for transformation, Apache Spark for high-volume batch normalization.
Storage — PostgreSQL (relational), DynamoDB (key-value, high throughput), TimescaleDB/InfluxDB (time-series), S3 (raw archive), and Snowflake/BigQuery (analytics).
Delivery — REST API, webhook push to your endpoint, file drop (S3/SFTP), direct database write, or CRM sync.
Monitoring — CloudWatch alerts with Slack/email notification on pipeline failure, plus data freshness SLAs.
Schema versioning — backward-compatible schema evolution so downstream consumers don't break on source changes.
Delivery & SLAs
Delivered in your format, at your cadence.
We match the delivery format and refresh SLA to how your downstream systems actually consume the data.
Delivery formats
JSON · CSV · XML · ADF/XML · RETS · Parquet · Delta Lake · Webhooks · GraphQL API.
SLA options
Real-time (sub-60s) · Near-real-time (5–30 min) · Hourly · Daily · On-demand API.