Find candidates
Input: company and role context. Output: candidate business addresses with source notes. Discovery may be incomplete.
Email evidence for AI prospecting
DeBounce helps an AI agent find, normalize, and assess business email candidates while keeping source context, verification state, and human approval visible.
Read install states
Input: company and role context. Output: candidate business addresses with source notes. Discovery may be incomplete.
Input: mixed contact fields. Output: consistent casing and domain structure. Normalization does not prove ownership.
Input: candidate address. Output: syntax, domain, MX, disposable, role, and mailbox-risk signals. Results change over time.
Input: evidence and policy. Output: approve, reject, or review state. A person retains the sending decision.
npx -y @okki-global/okki-go-taroballClipboard success is not installation.
Execute in the terminal attached to your chosen agent runtime after reviewing the package identity.
Store provider keys in the runtime secret manager and grant only the scopes required for the test.
Review a small labeled sample, including uncertain and rejected addresses, before any export or outreach.