ReplyTrace
NewAgentic outbound for technical teams

From technical signal to qualified conversation.

ReplyTrace helps technical teams find relevant prospects from public evidence, send policy-controlled outreach from code, and turn replies into human-ready opportunities.

Evidence-backed · Human-approved · API-first

Works in your stack

NodePythonTypeScriptRESTWebhooksMCPZapierSQL
How it works[1/6]
Outbound readiness4/12
  • ICP and source policy
  • Signal source and timestamp
  • Role confidence
  • Contact verification
  • Evidence-backed draft
  • Human approval gate
  • Global suppression
  • One-click unsubscribe
  • Per-agent rate limits
  • Reply confidence
  • Escalation queue
  • Audit trail
technical signalreplytracehuman-ready reply

01 / Define

Give the agent a boundary.

Set the ICP, allowed sources, disallowed contacts, send limits, and approval rules before any research or message generation begins.

02 / Research

Find evidence of a real fit.

Discover companies from public technical signals, then show the source, timestamp, confidence, and reason each account belongs in your workflow.

replytracesignalspoliciessequenceshandoff
signal.foundevidence.scoredcontact.verifiedpolicy.checkedsend.deliveredreply.classifiedhandoff

03 / Approve

Review before it reaches anyone.

Verify the contact and role, inspect the evidence-backed draft, and approve the send. Low-confidence or sensitive cases stop for a human.

04 / Handoff

Turn replies into next actions.

Classify interest, objections, referrals, opt-outs, privacy requests, and uncertainty. Escalate the replies that deserve a human while stopping the rest safely.

Workflow[2/6]

The outbound loop for technical teams, in code.

Research the signal, control the send, and hand the right replies to a human. One auditable workflow instead of disconnected tools.

01 · Evidence

Know why an account is a fit.

Start from public technical signals and keep the source, timestamp, confidence, and reason attached to every prospect.

Why it works[3/6]

Outbound tools optimize for volume, not judgment.

01

Signal → reply

One connected workflow.

0

Blind sends

Evidence and policy come first.

API

First-class

SDKs, webhooks, events, and MCP.

HUMAN

In the loop

Escalate interest and uncertainty.

Who it's for[4/6]

Technical founders

Ship product-led outbound from the same repo.

Define a narrow ICP, find companies showing a relevant technical signal, and send a reviewed first message without building a sales stack from scratch.

ICPSignalsApproval

AI agent builders

Give your agent email without letting it go rogue.

Scope its sources, contacts, rate limits, and actions. Require approval where confidence is low, then route replies to the right human.

PoliciesMCPHandoff

Growth engineers

Turn technical signals into qualified conversations.

Build the research-to-outreach workflow with evidence, confidence, idempotent events, and an audit trail your team can inspect.

WebhooksEvidenceEvents

Developer agencies

Run client workflows with guardrails.

Keep source provenance, tenant boundaries, approval history, suppression, and reply handoff visible across every technical account.

TenantsSuppressionAudit
Pricing[5/6]

Start with a safe workflow. Scale what works.

Start in test mode, validate your ICP and review every decision. Move to a production pilot when the workflow creates conversations worth continuing.

Sandbox

$0

Explore the workflow without contacting anyone.

  • Synthetic accounts and replies
  • ICP and policy builder
  • REST API + SDKs
  • Test mode with no live sends

Pilot

Earlyaccess

For a technical team validating one real outbound workflow.

  • Public-signal research
  • Approval queue before first send
  • Suppression and unsubscribe controls
  • Reply classification and handoff
  • Concierge onboarding

Team

Customfor production

For teams operating multiple approved workflows and agents.

  • Scoped agent permissions
  • Tenant and domain isolation
  • Event history and audit exports
  • Priority support and review
FAQ[6/6]

The fine print, in plain English.

Who is ReplyTrace for?

Technical founders, AI-agent builders, and growth engineers with a narrow B2B ICP. If you want outbound to behave like inspectable infrastructure, ReplyTrace is built for you.

Is this just another email API?

No. Transactional APIs are good at sending a message. ReplyTrace connects technical-signal research, evidence-backed outreach, policy controls, and reply handoff in one workflow.

Can my AI agent send email?

Yes, but sending is not the differentiator. Scope what the agent can research and send, apply rate and suppression rules, require approval when confidence is low, and escalate replies to a human.

How do you protect reputation and deliverability?

Authentication, verification, suppression, unsubscribe, bounce handling, rate controls, and monitoring are part of the workflow. We do not promise guaranteed inbox placement or unrestricted volume.

What sources can research use?

Company sites, docs, changelogs, public job pages, public GitHub metadata, launch directories, and other allowed public sources. Every prospect carries its source, timestamp, confidence, and reason for contact.

What happens when a reply is uncertain?

It stops and goes to review. Positive interest, objections, referrals, privacy requests, opt-outs, and ambiguous replies each have a defined action, with the full thread and evidence visible to the operator.

Turn your next signal into a conversation.

Start with a defined ICP, a public signal, and a workflow your team can review. ReplyTrace handles the path from research to reply.