Named Gap

What It Is

A named gap is a category the MEI's construct calls for but for which no metric currently passes the platform's inclusion criteria — and which the platform therefore documents openly as a disclosed limitation rather than papering over. Because the index's rails and categories are formative (each defines a distinct facet of the machine economy rather than being an interchangeable reading of one underlying quantity), a missing category isn't just a missing data point — it genuinely narrows what that rail measures. So the platform treats each such gap as a first-class, published limitation listed in the methodology, not as a quiet internal note.

The defining discipline is what the platform does instead of filling the gap: nothing. It refuses to substitute an unverifiable proxy for a construct it can't yet measure well, because a bad proxy would fail construct validity and quietly corrupt the index. A named gap is the honest alternative — the platform states plainly that this facet exists, that it matters, and that no metric meeting the bar is available, and it leaves the space empty and labeled until a qualifying source emerges. When one does, the gap is closed in a versioned methodology update, with the effect of adding it disclosed.

The MEI carries four named gaps. On the Payment Rail, settlement liquidity — the stablecoin float attributable specifically to machine payments — is a gap, because total stablecoin supply moves mostly with trading and DeFi unrelated to machine commerce and so fails the construct-validity test. In the Macro component, three gaps: realized agentic commerce volume (every candidate source is a vendor or consulting one-off that isn't primary-source verifiable), agentic labor demand (no labor-statistics body publishes a series isolating agentic-AI roles — the occupational taxonomy for it doesn't yet exist), and metered machine-services consumption (no documented, stable, free public data source has been confirmed).

Why It Matters for the Machine Economy

Named gaps are a credibility mechanism, and they're one of the clearest expressions of the platform's independent-observatory stance. Any index can look more complete by stretching a weak proxy to cover a gap; doing so trades away accuracy for the appearance of coverage. The MEI does the opposite — it names what it can't measure. That's more useful to a serious reader than a falsely complete number, because it shows the platform understands its own limits and states them, and it makes clear that the index measures the verifiable subset of the machine economy rather than pretending to measure all of it.

The named gaps also mark the real frontier of measurement, which is why they connect directly to the honest framing of what the index is not. A true "machine GDP" — the total economic output autonomous machines produce — can't be computed today, and the named gaps are precisely the pieces that would have to be filled first: without a verifiable agentic-commerce-volume series or any way to define agentic labor, there's simply no data from which to build such a figure. By listing these gaps rather than hiding them, the platform draws an accurate line between what the machine economy's infrastructure and readiness look like now (which the MEI measures) and what its full output would be (which no one can yet measure honestly). Each gap that later closes is a genuine, dated advance in what can be measured — recorded as a versioned methodology change rather than slipped in silently.

Related Terms

• MEI (Machine Economy Index) — the index whose construct coverage the gaps describe
• Construct Validity — the test a proxy would fail, which is why the gap stays empty
• Provisional Metric — the distinct case of a real metric still calibrating
• Machine GDP — the frontier the named gaps mark the edge of

Sources

• (Internal methodology — see the MEI methodology page)