Overview
Almost every modern software system talks to something else. A payment provider, a logistics carrier, a data feed, an exchange, an accounting platform, a CRM, a government registry. The ability to connect systems reliably — to consume, transform, and produce data across boundaries — is one of the most practically valuable engineering capabilities a software partner can have.
We integrate anything. REST APIs, WebSocket streams, SOAP services, FTP feeds, proprietary binary protocols — if it has a documented interface, and often when it does not, we can connect to it, parse what comes out, and deliver it where it needs to go. Our primary implementation languages are Rust and C#, chosen based on the performance profile and existing infrastructure of each project, with additional language support where the integration context demands it.
What API Integration Actually Involves
The term "API integration" is deceptively simple. Calling an endpoint and getting data back is the easy part. The engineering challenge is everything around it:
- Handling authentication correctly — OAuth2 flows, API keys, JWT tokens, HMAC signatures, mutual TLS
- Managing rate limits without triggering bans or silent failures
- Dealing with inconsistent, undocumented, or frequently changing response structures
- Reconciling data models between systems with different conventions and schemas
- Handling partial failures, retries, and idempotency correctly
- Maintaining connection stability on long-lived WebSocket streams
- Parsing high-volume data feeds efficiently without becoming a bottleneck
- Building observability into the integration so failures are detected and diagnosed quickly
This is where most integrations fail in production — not at the happy path, but at the edge cases that only appear at scale, under load, or when the upstream API behaves unexpectedly. We build integrations that handle all of it.
REST API Integrations
REST remains the dominant API paradigm across virtually every industry. We have built REST integrations across payment processors, accounting platforms, logistics carriers, crypto exchanges, social platforms, CRM systems, ERP platforms, marketing tools, and government data services.
What we handle on every REST integration:
Authentication and token management are handled automatically — including token refresh flows, expiry handling, and secure credential storage. We never hardcode credentials or leave authentication as an afterthought.
Request and response mapping is done with strict data validation. We do not trust upstream APIs to always return what their documentation says. Every response is validated, unexpected fields are handled gracefully, and missing required fields trigger appropriate error handling rather than silent null propagation.
Rate limiting is respected and managed proactively. Where APIs expose rate limit headers, we consume them. Where they do not, we implement conservative request pacing and exponential backoff on 429 responses.
Pagination is handled completely and efficiently — cursor-based, offset-based, and link-header pagination patterns are all supported, with streaming processing for large result sets to avoid memory pressure.
Notable REST integrations we have delivered include Exact Online, AFAS, Twinfield, Bol.com, Shopify, WooCommerce, Binance, Bybit, Kraken, Mollie, Stripe, SendCloud, MyParcel, PostNL, Salesforce, HubSpot, Twitter/X, Google Analytics, Meta Ads, Slack, Microsoft Teams, Twilio, and WhatsApp Business API — among many others.
WebSocket Integrations
WebSocket connections are the right tool when you need continuous, low-latency data rather than polling. Market data feeds, order book streams, real-time event notifications, live chat systems, and collaborative applications all benefit from persistent WebSocket connections over repeated REST polling.
Building reliable WebSocket integrations requires handling a set of failure modes that REST integrations do not face:
Connection lifecycle management. WebSocket connections drop. Network interruptions, server-side timeouts, and load balancer resets all terminate connections unexpectedly. We implement automatic reconnection with configurable backoff, state reconciliation on reconnect to avoid missing events, and heartbeat monitoring to detect silent connection failures before the application notices them.
Message ordering and deduplication. High-throughput WebSocket streams can deliver messages out of order or, in some recovery scenarios, deliver duplicate messages. Where message ordering matters — as it does in order book reconstruction or trade feed processing — we implement sequence number tracking and gap detection.
Backpressure handling. When a WebSocket stream delivers data faster than the downstream processing can consume it, naive implementations drop messages or exhaust memory. We build explicit backpressure mechanisms to handle burst traffic gracefully.
We have built WebSocket integrations for major crypto exchange order book and trade feeds (Binance, Bybit, Kraken), real-time price data streams, MetaTrader bridge connections, live notification systems, and collaborative application backends.
Data Parsing — Our Core Strength
Raw data rarely arrives in the shape your application needs it. HR systems export Excel files with merged cells and inconsistent column naming. Legacy platforms return XML with deeply nested structures. Financial systems use custom date formats and locale-specific number formatting. Crypto protocols encode data in binary formats. Log files contain structured data embedded in free text.
We parse all of it.
Our parsing capabilities cover:
- JSON and JSON-LD with strict schema validation and partial parsing for large documents
- XML and SOAP with namespace handling and schema validation
- Excel (XLSX, XLS, CSV) including complex multi-sheet workbooks, merged cells, and formula evaluation — used extensively in our financial tooling work
- Binary protocols including custom exchange message formats and blockchain data structures
- Fixed-width and delimited flat files from legacy systems
- HTML scraping where no API exists, with robust selector strategies that tolerate layout changes
- FIX protocol for institutional trading system connectivity
Data parsing is not just about reading formats — it is about normalising what you read into a clean, validated internal representation that the rest of your system can depend on. We treat parsing as a first-class engineering concern, not something thrown together with a few JSON deserialisation calls.
Integration Architecture Patterns
Beyond individual integrations, we design integration architectures that scale and remain maintainable as the number of connected systems grows:
Event-driven integration. Rather than tight point-to-point coupling between systems, we implement event-driven patterns where changes in one system publish events that downstream systems consume independently. This decouples systems and makes the overall architecture more resilient.
Data pipeline design. For integrations involving continuous data flows — market data, logistics events, analytics feeds — we design explicit pipeline architectures with defined stages for ingestion, validation, transformation, enrichment, and delivery.
Webhook handling. Many platforms push data via webhooks rather than waiting to be polled. We build robust webhook receivers with signature verification, idempotency keys, async processing queues, and dead letter handling for failed deliveries.
API gateway and aggregation. Where a frontend or downstream service needs data from multiple upstream APIs, we build aggregation layers that combine, normalise, and cache data from multiple sources behind a single clean interface.
Technologies Used
- Rust — high-throughput data pipelines, WebSocket stream processing, latency-sensitive integrations, binary protocol parsing
- C# — REST API integrations, Excel and file parsing, enterprise system connectivity, desktop integration tooling
- PHP / Laravel — web-based integration backends, webhook receivers, CMS-adjacent integrations
- Next.js / TypeScript — frontend API consumption layers, BFF (Backend for Frontend) patterns
- SQL — structured storage of integrated data, reconciliation tables, audit logs
- REST / WebSocket / SOAP / FIX — protocol support across all major integration patterns
- Docker — containerised integration services for clean deployment and isolation
Industries We Have Integrated For
Our integration work spans virtually every sector we serve — financial platforms consuming market data and accounting APIs, ecommerce operations synchronising inventory and orders across channels, logistics platforms aggregating carrier data, trading systems connecting to exchanges, blockchain applications interfacing with onchain data, HR systems exporting to analysis tools, and marketing platforms pulling performance data from ad networks.
If your industry runs on data exchange between systems — and every industry does — we have relevant experience.
Let's Connect Your Systems
Whether you need a single clean integration with one external API, a multi-system data pipeline connecting half a dozen platforms, or an audit of why your existing integrations keep failing in production — we can help.