We operate integration so you don't have to.
APIfl0w builds the connectors between the systems a business already runs, normalizes what comes out of them into one canonical schema, and keeps that fabric running as a service. Your tools keep doing what they do; we make them one system. Integration is not a project you finish — it is infrastructure someone has to operate, and the honest version of that job is a pager, not a proposal. We took the pager. You get one surface and one invoice.
Three steps, and then it just runs.
No discovery phase that bills for six weeks and produces a slide. The shape of the work is small on purpose.
Stack walkthrough
One call, usually 90 minutes. You show us what you run and what you wish it told you. We map each system to canonical record types live, name the fields that will fight each other, and say plainly which upstreams will be difficult and why. You leave with a mapping sketch whether or not you hire us.
Fabric build & backfill
We build the connectors, agree the scopes and credentials in writing, run the backfill throttled against production limits, and tune monitor thresholds against your real volumes. Two weeks per connector is the median; four systems in parallel is a normal first engagement.
Operated service
The fabric runs. Windows close, records normalize, health is watched, and breakage is ours. You get the dashboard, the API, the webhooks and a monthly invoice with four lines on it. New systems join later at the same two-week median.
Two engagements, anonymized.
Clients are not logos on our website. These are described precisely enough to be useful and vaguely enough to be nobody's disclosure problem.
A regional industrial-equipment distributor
Eleven branches across three states. Inbound service calls ran through a call-tracking platform, the parts catalogue had an SEO suite watching it, each region had its own web analytics property, and the outside sales team lived in a CRM that knew nothing about any of it.
Four systems meant four exports and four definitions of a lead. Every Monday six people rebuilt the same spreadsheet, and every quarter someone re-litigated which number was right — a question nobody could settle because no number carried its origin.
We built four operated connectors and backfilled twenty-six months. Calls, sessions, catalogue queries and deals now resolve into canonical lead and deal records keyed on E.164 phone plus branch. Every field carries lineage, so "where did this come from" is a click rather than an argument.
The Monday spreadsheet is gone. Branch managers open one dashboard. The ERP team reads the same records through GET /v1/records, which meant the ERP integration project everyone was dreading became a scheduled job.
A multi-location agency group
Four offices, thirty-eight client accounts, and a reporting obligation that arrived on the same date every month regardless of how the tooling felt about it. Analytics, advertising and CRM data lived in per-client sub-accounts across three platforms, each with its own login, its own export limits and its own idea of a conversion.
The previous answer was a spreadsheet template plus twelve hours of an analyst's month, and it broke every time a platform changed a column header. Client-facing reports were late often enough that lateness had become a running joke internally and a real problem commercially.
We built connectors per platform rather than per client, with sub-account identity carried as a canonical tag. Analytics sessions, ad spend and CRM deals normalize into one reporting surface where a client rollup is one filtered query. The group's own reporting product now reads the unified API directly and renders per-client decks from canonical records.
The analyst's twelve hours became about ninety minutes of review. More usefully, adding a thirty-ninth client is now an onboarding checkbox rather than a new spreadsheet.
Three things we will not trade away.
Boring reliability
The most interesting thing an integration can do is nothing unusual, for years. We optimise for windows that close on time, alerts that mean something, and incidents that end with a written cause note nobody had to chase. We would rather ship a connector two days late than ship one that needs watching. Novelty in infrastructure is a cost, not a feature, and every clever thing we did not build is a 03:00 page somebody does not get.
Schema over glue
Point-to-point integrations multiply: ten systems wired pairwise is forty-five relationships nobody owns. A canonical schema in the middle turns that into ten. So the schema is the product and it stays small on purpose — seven record types, one envelope, explicit types and units. Adding a connector adds mappings, never record types. When a mapping is genuinely ambiguous we stop and ask rather than guessing, because a wrong guess in a shared schema is wrong everywhere at once.
Your data, your exit
Canonical records are yours. Full export in JSONL with lineage, on request or at termination, at no charge and written into the agreement — because a business built on making departure painful eventually stops trying to be worth staying for. Raw upstream archives come too wherever the upstream licence permits, and where it does not we name the system and the clause instead of quietly omitting it.
Walk us through your stack.
Bring the systems, the credential question, and the report nobody wants to build again. Ninety minutes, one mapping sketch, no obligation to do anything with it.
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