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PreviewYou’re looking at a demo workspace in fixture mode — no real subscribers, no real spend.
Closed Loop Enrich

Run · E8b click-through mvkb3icm (synthetic)

Completed · started 23 Oct 2026

Some grades come from the rubric's rules, not the AI: Graded by the rubric's rules: this run may not spend Closed Loop AI credit.

Progress

Completed

100% · 4 contacts in the list

Rubric: E8b buyers mvkb3icm (v2) · version 2

Spend

$0.00 spent · free stages only

Normalise, domain intelligence, engagement and a grade without AI credit charge nothing.

Cost per qualified lead

$0.00¹

$0.00 per qualified lead — $0.00 spent ÷ 2 A/B grades (of 4 graded).

¹ Qualified = graded A or B by the run’s rubric (AI or rules). Spend = what the run’s lookups actually cost, as recorded on the run: Apify person match, the email verifier, work email, phone, company signals and the AI model; anything re-used free (the shared cache, contacts looked up before) is $0, and a fixture run records the recorded results’ prices without charging anyone. On Closed Loop credit your plan counts contacts, not dollars (Billing shows contacts per qualified lead). Projected = the estimate (a ceiling) ÷ the contacts the grade covers × the A/B share of contacts already graded in the list (or the workspace).

Stages

StageDoneFoundNo match / skippedErrorsReused freeSpent
Normalise4 / 44000$0.00
Domain intelligence4 / 40404$0.00
Engagement4 / 44000$0.00
AI grading4 / 42 qualified200$0.00

Fields found, by waterfall step

Each field is filled by the cheapest step that can: the cache and earlier lookups first (free), then the paid step.

This run found no fields (or it ran before per-field counts were recorded).

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