Build an ICP prospect shortlist with filters you can review
Translate your ideal customer profile into supported company and people filters, handle exclusions, and qualify a shortlist before contact access.
Build an ICP shortlist, plan MCP research, or evaluate a data provider. Use practical guides, downloadable worksheets, and a local evaluation calculator.
Open the evaluation calculator8 guides and tools
Translate your ideal customer profile into supported company and people filters, handle exclusions, and qualify a shortlist before contact access.
Give an AI client a reviewable research task with workspace scopes, supported filters, page budgets, exact retries, and explicit contact-unlock approval.
Turn a company record into a focused research brief: resolve the entity, separate evidence from inference, and decide what to verify next.
A practical worksheet and local calculator for comparing entity matching, usable fields, freshness, latency, and cost.
Map a fictional company, person, role, and department while keeping reporting relationships and decision-making authority explicitly unknown.
Review a fictional promotion by separating the event, observation, and verification clocks from reporting-line changes and buying-intent assumptions.
Use a fictional field-level ledger to separate supplied values, source evidence, unknown freshness, conflicts, and the decision to retain or update a field.
Choose a workspace, REST API, or MCP workflow and understand what is available.
Inspect actual company export fields and proposed person, role, membership, reporting, event, and technology models with explicit unknowns.
Authorize a client, confirm its workspace, and make a bounded call with the implemented MCP contract.
Design bounded company research with explicit tool inputs, inspectable records, source context, and reviewable unknowns.
Evaluate identity, field coverage, source evidence, freshness, and explicit unknowns against your integration requirements.
Translate account and role criteria into filters, record exclusions, and review fictional shortlist decisions.
Keep workspace scope, page budgets, retries, saved references, and contact-approval decisions in one run ledger.
Four fictional observations, evidence fields, and next actions in a CSV you can keep.
A blank CSV template for recording identity matches, field quality, timing, and cost.
Record supplied company membership, role context, and unresolved reporting edges separately.
Review a fictional promotion, three distinct clocks, and conclusions that still need evidence.
Keep each supplied value, source boundary, and proposed update decision in a reviewable ledger.
Use your own counts and charges to calculate usable-result rate and variable cost. Inputs stay in your browser.
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