The Off-Market Deal Sourcing Team
One analyst reads one county at a time. That is the bottleneck. This pack is the crew that removes it: parallel Claude scouts, each holding a single territory or asset class, all reporting ranked owner targets into one deal table. You wake up to a prioritized call list, not a pile of tabs.
The flagship gave you the method — read public records for the owners who may transact before they call a broker. This gives you the team that runs it while you sleep: one orchestrator, four tuned scouts, one shared output contract, and a human review gate on every ranked target.
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Start with the method
This is the crew for the Off-Market Operating System
The flagship pack is the single-agent operating system and the full playbook — the signal method, the scoring model, the honest ceilings. This pack is its team: the same method, run by parallel scouts across a whole footprint. Read the flagship first; everything here assumes it.
Get the Off-Market Operating System →Who this is for
If your edge is getting to a motivated owner before the next buyer, the constraint is coverage. A crew reads a whole footprint at once, on one scoring scale.
Acquisitions teams
You know your buy box cold. What you don't have is the analyst-hours to cover every submarket at once. The crew runs the lanes in parallel while you work the calls.
Solo investors and small shops
No analyst bench. The orchestrator is the analyst bench: it plans the coverage, runs the scouts, and hands you one ranked, evidence-chained call list.
Funds and family offices
Several target markets, one method. Cover them all on one scale, so a 60 in a thin county correctly outranks a 45 in a dense one.
The crew
One orchestrator, four scouts, one shared table, one gate — parallel lanes, not one mega-prompt. It keeps every read clean, auditable, and honest about what it actually found.
The orchestrator (the lead scout)
You talk to the lead, not the crew. It restates your deal box as explicit filters, breaks the coverage into lanes, and assigns one scout each — then merges every scout's targets into one deduped, re-ranked deal table. When one county's data breaks, you rerun one scout, not the whole run.
Four tuned scouts, running in parallel
A base territory scout plus industrial, multifamily, and retail & office variants. Each holds one lane — a single county or asset class — reads the public-signal stack its market rewards, and returns a ranked shortlist. Five scouts finish a footprint while one analyst is still on county one.
One shared deal table
Every scout writes into the same output contract: owner, property, the signals that fired, the score, the confidence, the evidence chain, the next action. Same columns every run, so five lanes collapse into a single call list you can actually read top to bottom.
A human review gate, built in
A name is only asserted with a documented chain from entity to human — no chain, no name. Conflicts, low-confidence resolutions, and hard-no's slipping through go to a review queue. Nothing leaves for a letter or a call until a human clears it. That gate is the design, not an apology for it.
Three tuned scouts, so the angle is real
The signal stack ports across asset classes; only the weighting changes. The pack ships each variant tuned for the signals its market actually rewards, so an industrial run and a multifamily run are genuinely different reads, not the same list with a new label.
Industrial / small-bay
A fragmented, owner-operator market that rarely lists. The scout weights succession pressure, single-asset holders, and functional obsolescence in corridors where rents have run.
Multifamily
Apartment owners telegraph motivation through operations and debt. The scout reads long tenure, absentee ownership, code signals, tax pressure, and the mortgage maturity clock.
Retail & small office
The two asset classes carrying the clearest debt clock. The scout weights mom-and-pop tenure, the CMBS maturity wall, and occupancy decline against the submarket.
How to run it
Install it in the AI tool you already use. The two no-code paths take about ten minutes: load the pack, give the orchestrator your deal box, and let the scouts work. The dev-environment recipes run the scouts as parallel subagents if you live in a terminal.
ChatGPT
Custom GPT
No codeClaude
Project
No codeClaude Code
Skill, parallel scouts
Dev envCodex
AGENTS.md
Dev envYour first run
Load the pack into a Claude project, then start the orchestrator with your deal box and the territories to cover:
You are the lead scout for an off-market sourcing crew. DEAL BOX: [asset type, vintage, deal size, target submarkets, owner keep/drop rules, hard no's, sponsor fit] COVERAGE REQUEST: [the counties and asset classes to cover] First, restate the deal box as explicit filters so I can correct your reading. Then plan the lanes — one scout per territory or asset class — before you dispatch anything.
The orchestrator plans the coverage, tells you which scouts to run, and merges their targets into one ranked deal table — with a review queue for anything a human must clear before a letter goes out.
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