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Custom Architecture
18+ Production APIsAI Agent IntegrationReal-Time Sync

Intégration API personnalisée et connexion système

Vos systèmes ne communiquent pas — alors votre équipe le fait manuellement

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API integration keywords
18+
Production APIs
Battle-tested at scale
5,000+
Sites Built
12+ years experience
95+
Lighthouse Score
Performance target
What Custom API Integration Actually Does — And What Breaks Without It

Your Shopify order fires. Within two seconds, your ERP inventory adjusts, your CRM logs the sale, Stripe processes payment, Twilio sends an SMS confirmation, and your fulfillment queue updates — no spreadsheet touched, no Slack message sent, no one checking a portal. That's what working API integration looks like in 2026. Most growing businesses run 8–15 disconnected tools. Your CRM doesn't see payment data. Your ERP doesn't know shipping status. Your support team opens three tabs to answer one question. So your people become the integration layer — copying order numbers, updating records manually, checking portals every Tuesday. Proper integration eliminates that entirely. REST API connections with webhook-driven event handling mean data flows automatically between your systems. Field mapping transforms Stripe's payment_intent into your ERP's transaction_id. Retry logic with exponential backoff catches failures before they become silent data loss. And in 2026, it means something more: AI agents connected via MCP that can read your order database, classify support tickets, trigger workflows — not just chat, but act. Without it, your team burns hours on copy-paste work your competitors automated two years ago.

Où les projets échouent

Orders come into Shopify but inventory lives in your ERP -- with no sync between them So you oversell. Then come the refunds, the angry emails, the customers who never come back. It's a trust problem that's entirely preventable, and it's almost always caused by two systems that should be talking but aren't.
Your customer history lives in HubSpot but your support team is working out of a completely separate tool They can't see what the customer bought, what they've asked before, or what's already been promised to them. So every support interaction starts from scratch. That's a worse experience for the customer and a frustrating one for your team.
Shipping updates sit in the FedEx portal -- which your customers can't access -- so they call you instead Your support team spends real hours every day just relaying tracking information that should be automated. That's not support work. That's busy work.
Five tools, daily manual copying, one person doing it And look, it works fine until it doesn't. One transposed digit in an order number, one row pasted into the wrong column -- and suddenly you've shipped to the wrong address, lost a deal, or refunded a customer who shouldn't have been refunded. Manual data entry isn't a workflow. It's a liability.
Your competitors in Austin, in Chicago, in your exact market -- they're deploying AI agents that handle first-line support, process routine orders, and surface insights automatically But AI can't help you if your data is locked in disconnected silos with no API exposure. You don't have an AI problem. You have an integration problem that's *blocking* your AI strategy.
Silent failures are the worst kind The previous developer wired things together, it worked in testing, and then six months later you're discovering that orders from a specific customer segment never made it to the ERP. No error. No alert. Just... gone. That's what happens without proper retry logic, dead letter queues, and monitoring. You find out from an angry customer, not from your system.

Conformité

Payment & Commerce Integration

Stripe, Stripe Connect, and payment gateway connections are where you really can't afford shortcuts. We're talking proper webhook handling with signature verification, idempotency keys so duplicate events don't charge customers twice, and retry logic that handles network failures gracefully. Plus subscription lifecycle management, marketplace payout splits, and reconciliation automation so your finance team isn't manually matching transactions.

Communication & Messaging

Twilio for SMS and voice, Brevo for transactional email, ElevenLabs for AI voice, Nylas for inbox integration -- these aren't interchangeable. Each one has different rate limits, delivery guarantees, and failure modes. We've built multi-channel notification systems that route to the right channel based on customer preference and message urgency. So the right message reaches the right person, the right way.

CRM & Marketing Automation

HubSpot, Instantly, and Findymail working together means your outbound pipeline actually stays clean. Lead data enriched via Findymail, sequences running through Instantly, and everything syncing back to HubSpot so it stays the source of truth. Bidirectional -- not just a one-way push that falls out of sync within a week.

Search & Data Intelligence

Algolia isn't just a search box. Typo tolerance, faceted filtering, custom ranking rules -- it's a genuinely different experience for users compared to basic database queries. We pair that with Google Maps for location-based filtering and custom scoring logic that surfaces your most relevant data first. The result is search that actually works the way users expect it to.

AI Agent & MCP Connections

Claude API and OpenAI connected as autonomous agents -- not chatbots sitting in a corner answering FAQs. MCP connections let the AI actually reach into your systems: read database records, process an order, classify and route a support ticket, trigger a downstream workflow. That's a fundamentally different thing than a chatbot. And it's what makes AI useful in an operations context.

Monitoring & Error Handling

Sentry catches errors before customers do. PostHog tells you whether your pipeline is healthy or quietly degrading. Upstash Redis handles rate limiting and caching so you don't hammer third-party APIs or blow through paid tier limits. And every integration we build includes retry logic, dead letter queues for failed messages, and alerting that gives you context -- not just "something broke."

Ce que nous construisons

Copy order data from Shopify into your ERP manually because there's no sync

Orders sync instantly — Shopify to ERP to fulfillment queue with zero manual copying or portal-checking

Check FedEx portal separately, then paste tracking numbers into customer emails by hand

Customers get tracking SMS automatically when FedEx scans the package, no support time spent relaying updates

Update HubSpot CRM after every sale closes because Stripe doesn't feed it automatically

Support sees full purchase history, past tickets, and CRM notes in one view — context on every interaction

Answer support tickets blind — no purchase history, no interaction log, just guessing context

AI agents read your order database, process routine requests, escalate edge cases — because your systems expose clean APIs

Discover oversold inventory only after the angry customer emails asking where their order is

Failures retry automatically with exponential backoff, land in dead letter queues if persistent, fire Sentry alerts with full context

Watch competitors deploy AI agents while your data sits locked in disconnected silos with no API layer

Build your own public API with rate limiting and webhook events so partners can integrate with you — opening revenue channels manual workflows can't

Notre processus

01

System Audit

Before writing a line of code, we map everything: every tool in your stack, every data flow, every manual handoff where someone's copying and pasting between systems. And honestly, that audit alone is valuable -- most teams haven't seen their own data flows laid out end to end. From there, we figure out which integrations save the most time and which data gaps are causing the most pain.
Week 1
02

Integration Architecture

Once we know the landscape, we design the actual data flow: which system owns which data, how webhook events are structured, what happens when a sync fails, how retry logic behaves under load. You see the full blueprint -- field mappings, error handling strategy, the whole picture -- and you approve it before we build anything. No surprises mid-project.
Week 2
03

Core Integrations

We don't build everything at once. The highest-priority integration goes first, deployed to a staging environment with real test data so you can verify that the actual data flowing through matches your expectations. Not synthetic test cases -- real records from your systems behaving exactly as they will in production. Then we move to the next one.
Week 3-5
04

AI & Advanced Features

Once the core connections are live, we tackle the harder stuff -- MCP connections for AI agents, transformation pipelines that reconcile messy data between legacy formats and modern APIs, and multi-step workflows that orchestrate actions across 4 or 5 systems in sequence. This is where the real efficiency gains show up.
Week 6-8
05

Launch + Monitoring

Production deployment includes Sentry error tracking wired up from day one, PostHog pipeline health metrics so you can see data flowing in real time, and alerting configured before we hand anything over. Plus 30 days of free monitoring after launch -- because the edge cases that don't show up in testing always show up in the first few weeks of real production traffic.
Week 9-10
AstroSupabaseVercelStripeTwilioElevenLabsHubSpot APIClaude APIOpenAIAlgoliaBrevoPostHogSentry

Questions fréquentes

Combien coûte une intégration API ?

C'est assez direct au niveau des tarifs. Une seule intégration — par exemple, connecter Stripe à votre plateforme avec une gestion appropriée des webhooks — coûte entre 5 000 $ et 15 000 $ selon la complexité. Le travail multi-système connectant 3 à 5 outils en un seul flux unifié coûte entre 25 000 $ et 75 000 $. L'intégration au niveau entreprise avec transformation de données, gestion d'erreurs complète et surveillance sur 5+ systèmes coûte entre 75 000 $ et 200 000 $. Tout est à prix fixe après la découverte, donc il n'y a pas de surprises de facturation.

Quelles APIs avez-vous l'expérience en production ?

Nous avons 19 APIs en production en ce moment : Stripe, Brevo, Claude API, OpenAI, FAL API, ElevenLabs, Twilio, PostHog, Sentry, Upstash Redis, Supabase, HubSpot, Swiss Ephemeris, Algolia, Google Maps, Nylas, Findymail, Instantly et Name.com. Chacune d'entre elles a traité du trafic réel en production, des problèmes réels de limites de débit et des scénarios réels d'échec. Nous n'apprenons pas sur votre projet — nous avons déjà appris.

Pouvez-vous connecter mon système existant à des outils modernes ?

Oui — et c'est un sujet qui revient plus souvent qu'on ne le pense. Beaucoup d'entreprises dans la fabrication, la logistique et la santé utilisent des systèmes de 2008 qui ne vont nulle part. Nous construisons des couches middleware qui enveloppent les anciens services SOAP dans des interfaces REST modernes, des pipelines de transformation qui traduisent les anciens formats de données en quelque chose que les APIs actuelles peuvent consommer, et des ponts webhook qui permettent aux anciens systèmes de participer à des workflows en temps réel. Votre système existant continue de fonctionner. Nous modernisons autour de lui.

Qu'en est-il des agents IA qui interagissent avec nos systèmes ?

Voici ce que les agents IA ont réellement besoin pour être utiles en 2026 : l'accès. Pas seulement une invite et une base de connaissances — l'accès réel en lecture/écriture à vos systèmes via des connexions MCP. Nous construisons ces connexions afin que Claude ou ChatGPT puisse vérifier le statut d'une commande, mettre à jour un enregistrement CRM, envoyer une notification, traiter une demande régulière et escalader vers un humain quand la situation l'exige. C'est un assistant autonome. C'est différent d'un chatbot.

Comment gérez-vous les défaillances des APIs et les limites de débit ?

Chaque intégration que nous livrons inclut la logique de nouvel essai avec backoff exponentiel, les files d'attente de lettres mortes afin que les messages défaillants ne soient pas simplement abandonnés, la gestion des limites de débit afin que vous ne dépassiez accidentellement vos quotas d'API, et les alertes de surveillance via Sentry. PostHog suit la santé du pipeline afin que vous puissiez voir le débit au fil du temps. Quand quelque chose échoue à 2h du matin — et ça finira par arriver — vous recevez une alerte avec contexte complet, pas un manque de données silencieux que vous découvrez trois jours plus tard.

Pouvez-vous construire une API publique pour notre plateforme ?

Oui, et c'est quelque chose à considérer plus tôt que la plupart des équipes ne le font. Nous construisons des APIs REST avec une documentation OpenAPI appropriée, la gestion des clés API, la limitation du débit par client, les systèmes webhook pour la livraison des événements en temps réel, et le versioning afin que les changements futurs ne cassent pas les intégrations existantes. Une fois que votre plateforme a une couche API solide, elle devient quelque chose avec laquelle d'autres outils peuvent s'intégrer — c'est ainsi que les revenus d'intégration et les accords de partenariat fonctionnent réellement.

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