In an architecture, engineering, or professional-services firm, Vantagepoint is not one system among several. It is where the projects live, where the clients live, and where the staff live, which means almost every question worth asking about the business is a question about data inside it. And almost every one of those questions currently gets answered by a person opening the application, running a report, exporting it, and reshaping it in a spreadsheet. That work is real, it is skilled, and it is entirely mechanical.
Three entities: contacts, projects, and employees. That is a deliberately narrow list. Between them they carry who you know, what you are doing, and who is doing it — which is the substrate for most operational reporting and for anything an AI layer could usefully answer.
Once those three are out of the ERP and into a store you can query, they can be joined to each other and to whatever else you have connected without anyone paging through a screen. The questions that were previously a Thursday afternoon of exporting become a query.
The connection is an API connection using credentials your firm supplies, with a test-connection check that runs before anything else does. That check exists so that a credentials problem is discovered when someone is looking at the screen expecting to configure something, rather than at two in the morning inside a scheduled job nobody reads the logs of.
There are two sync modes, scheduled independently on cron: a full sync that acts as a safety net, and a delta sync for freshness. Both run as background jobs with live status, per-entity row counts, and stop and restart controls, so an operator can see what a pass is doing while it does it and can halt one that is misbehaving without waiting for it to finish.
Now the part most integrators would leave out. Delta sync here is not what the vendor label implies. On the instance we work with, Vantagepoint does not honour the $filter query parameter on contacts, projects, or employees — it responds 200 with an empty result set. A filtered request that returns nothing and calls it success is a genuinely dangerous behaviour to build on, because a naive implementation would conclude that nothing had changed and move on, forever.
So a delta pass is a full unfiltered read plus a local hash comparison, and only genuinely changed rows are written. Where the API returns rows in modification-date descending order, the pass stops early once it crosses the newest record already held — a real optimization, but one we only apply where we have verified the ordering by probing the endpoint. Assuming ordering because documentation implies it is how integrations silently lose records.
A pass that fetches zero rows does not advance the watermark, and the interface raises an explicit alarm for it. A silent empty sync must never be able to read as healthy. Everything else on this page is engineering detail; this is the design decision that determines whether you can trust the data six months from now.
Because a pass reads every record in scope, it is a heavy call against a production ERP and belongs on a nightly schedule rather than an hourly one. Project scope can also be limited to active projects: Vantagepoint marks each project active, dormant, or inactive, and with scoping on, only active projects are stored. A project already held that has since gone dormant is flagged rather than left to read as live. Nothing is ever deleted.
API credentials for your Vantagepoint instance, issued with the narrowest access that still covers contacts, projects, and employees, and tied to a service identity rather than an individual's account.
A decision on scoping: whether you want all projects or active projects only. That is a business call, not a technical one, and it is easier to make before the first sync than after.
Someone who knows how your firm actually uses the fields. Two firms on the same ERP will have put meaning in different places, and the person who knows which custom field carries the real project status is worth thirty minutes of your time up front.
It raises an alarm, and it does not advance the watermark. This is the most important rule in the integration. An empty result is ambiguous — it can mean nothing changed, or it can mean a credential expired, a permission narrowed, or an endpoint quietly started answering differently. Treating those as the same thing is how a data pipeline goes stale for six weeks while every dashboard reports green. So a pass that fetches zero rows is surfaced as a problem for a human to look at, and the marker of what we have successfully read stays where it was, so the next successful pass re-reads the window rather than skipping it.
Not in the way the vendor label implies, and we would rather say so than let you discover it later. On the instance we work with, Vantagepoint does not honour the $filter query parameter on contacts, projects, or employees — it answers with a 200 and an empty result set, which is the worst possible failure because it looks like success. So a delta pass is a full unfiltered read plus a local hash comparison, and only genuinely changed rows are written. Where an endpoint returns rows in modification-date descending order, the pass stops early once it crosses the newest record already held. Whether an endpoint actually returns that order is verified by probe, never assumed.
Because the expensive part downstream is not reading, it is writing and everything a write triggers. Comparing hashes locally means an unchanged record costs nothing beyond the read: no write, no downstream recompute, no churn in anything watching the data. The read cost is real and we do not pretend otherwise, which is exactly why the schedule matters.
Nightly. Because every pass reads every record in scope, it is a heavy call against a production ERP — the same system your staff are entering time into and your accounting team is billing from. Hourly syncing would put avoidable load on the instance for freshness that project and contact data almost never needs. The full sync and the delta sync are scheduled independently on cron, so you can tune them separately rather than accepting one compromise.
Yes. Vantagepoint marks each project active, dormant, or inactive, and with scoping switched on only active projects are stored. A project already held that has since gone dormant is flagged rather than left sitting there reading as live — which is the failure that quietly corrupts a pipeline report. Nothing is ever deleted. Removal is a decision a person makes with the flag in front of them, not something a sync does on its own.
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