01 · Trusted Leads

The data layer for B2B GTM.

Architect your ICP, ship a real-time pipeline. The data-engineering layer GTM teams used to build in-house — packaged as one API.

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brand · trusted leadsv1.0

Trusted Leads

Data pipeline · GTM

SOC-2 GDPR CCPA

What Trusted Leads pipelines plug into

B2B WebLocal ListingsNiche DirectoriesCustom SourcesYour CRMSequencerSlackS3WebhookREST APIBring-Your-OwnMCP
8.2Mrecords / month
48sources connected
190+countries covered
99.95%pipeline uptime
PLATFORM PRIMITIVES

Four primitives. One data layer.

Schemas describe who you want. Pipelines fetch them. Datasets store them. Connectors deliver them. Each is a first-class API resource.

Schemas

POST /v1/schemas

Versioned ICP definitions. Title, seniority, industry, geo, headcount, tech, funding — diff-able and shareable across your GTM org.

Pipelines

POST /v1/pipelines

Orchestrated scrape + enrich workflows. Backoff, retry, dedup, schema-normalised output. Run on demand or on schedule.

Datasets

GET /v1/datasets/:id

Materialised tables of matched + enriched records. Queryable via API, exportable to CSV / Parquet, syncable to your warehouse.

Connectors

POST /v1/connectors

First-class push to your CRM and sequencer, plus S3, Slack, and signed webhooks for everything else — with replay.

ENGINE

Built like infrastructure.
Not a CSV vendor.

Pipelines run on dedicated workers with backoff, retry, and dedup. Records are enriched in-flight and shipped via webhook with replay. The data-engineering layer GTM teams used to build in-house, exposed as one API.

  • Schemas
    Versioned · diff-able
  • Workers
    Retry · dedup · backoff
  • Enrichment
    MX · SMTP · mobile
  • Egress
    Webhook · CRM · API
schema · vp_sales_b2b_saas.jsonv1.4.2
{
  "name":      "vp_sales_b2b_saas",
  "filters": {
    "title":      ["VP Sales", "Head of Sales", "CRO"],
    "seniority":  ["director", "vp", "c_suite"],
    "industry":   ["b2b_saas", "fintech"],
    "headcount":  { "min": 50, "max": 500 },
    "tech":       ["salesforce", "outreach"],
    "geo":        ["US", "UK", "CA"]
  },
  "sources":   ["linkedin", "google_maps", "directories"],
  "enrich":    ["email_verify", "mobile", "linkedin_url"],
  "egress":    {
    "webhook": "https://hooks.example.com/datryxen",
    "crm":     "hubspot",
    "queue":   "smartlead:vp-sales-q4"
  },
  "schedule":  "daily@04:00Z"
}
42,318 matches 8 workers 218 ev/s
$0.0048 / record
USE CASES

Where Trusted Leads fits.

GTM SaaS

ICP-driven pipeline for product-led teams

Define your ideal customer once, run the pipeline weekly, and have a fresh, deduped, scored contact list pushed to your CRM and outbound sequencer.

  • ICP-grade B2B records
  • MX + SMTP verify
  • Direct CRM sync
Outbound teams

Sequencer-ready records, fresh on every run

No more re-buying the same stale list. Trusted Leads ships fresh, verified contacts straight to your sequencer queue, with deliverability scoring per row.

  • Schema-normalised output
  • Re-verify at export
  • Direct queue push
Local services

Local-business outbound at scale

Pick a category and a list of cities. Trusted Leads runs the parallel pipeline, enriches with phone + website, and ships clean rows to your CRM.

  • Local listings + directories
  • Phone + website + hours
  • Service-area filters
VS THE INCUMBENTS

Why GTM teams switch to a real-time pipeline.

Stored-database vendors sell snapshots. Per-source SaaS tools force you to stitch them together. DIY stacks need an engineer. Trusted Leads is a single real-time data-engineering pipeline — schema in, enriched records out.

CapabilityTrusted LeadsStored-DB vendorsDIY scraping stackPer-source SaaS tools
Real-time pipeline (run-time fetch)Stored DBManualLimited
Versioned ICP schemasLimitedLimited
Schema-normalised output
Webhook + replay for every eventLimited
Email re-verified at exportDIY
Local + B2B + directories, one APIB2B onlyDIY
Direct CRM + sequencer pushLimitedDIYLimited
Transparent per-record pricing
GET STARTED

Ship a B2B GTM pipeline this afternoon.

500 free records, no credit card. Define a schema and push to your sequencer in under 90 seconds.