Portfolio triage guide

Bulk appraisal should help you triage a list—not automate false confidence.

Portfolio operators need speed, consistency, filtering, and export. They also need a clear boundary between an automated screening signal and evidence that has actually been verified for each domain.

No sign-in to startUp to 5 domains per batchRanges and limitations visible
01

Design the first pass for throughput

Normalize and deduplicate the list, record the appraisal source and time, and sort candidates using transparent criteria. Preserve the original rows so later refreshes can be compared rather than overwritten.

02

Escalate promising candidates

A shortlist deserves deeper checks before an investor spends money.

  • Comparable relevance and freshness
  • Acquisition route and current cost
  • Existing use and material conflicts
  • Manual review notes and unresolved checks
03

SparkNamer’s current boundary

SparkNamer's public Beta accepts up to 5 domains per browser batch and processes each appraisal separately. Portfolio-scale appraisal, saved bulk history, and a public appraisal API are not currently available.

Related domain research

Questions

Frequently asked questions

Does SparkNamer offer bulk appraisal now?

It offers a small public batch: up to 5 domains per browser batch at $0. It is not a portfolio-scale bulk appraisal system and does not expose a public appraisal API.

What should a bulk appraisal export preserve?

At minimum: the domain, estimate type, provider, observation date, key inputs, confidence limitations, and the status of deeper verification.

Start with one real candidate

Research the domain before you acquire it.

Run an Automated Retail Appraisal — Beta without signing in. Review the rounded range, provider confidence, market-category context, and visible limitations.

Try the 2-domain small batch