While we don't provide a free trial, we offer a flexible pay-as-you-go option, allowing you to explore our solution and experience its value before committing to a subscription. This way, you can test it at your own pace and ensure it meets your needs without any long-term commitment.

Delivery Methods

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Dataset

Bulk data delivery for analytics and scale

Receive large, structured datasets on a schedule (e.g., monthly), ready for warehouses and data science. Best for modeling, market maps, and offline processing.

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See Documentation

New version on March 22nd

Warehouse-ready formats — Parquet/JSON with consistent schemas.
Built for analysis — partitions, metadata and fast querying.
Total control — keep data in your environment.
Predictable refresh — scheduled updates with clear snapshot_date.

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Data points

Load structured B2B datasets into your data stack

Get a complete snapshot delivered to your bucket or warehouse—designed for joins, segmentation, and long-term analysis.

1curl -X POST "https://api.reversecontact.com/v1/datasets/request" \
2  -H "Authorization: Bearer $RC_API_KEY" \
3  -H "Content-Type: application/json" \
4  -d '{
5    "dataset": "companies",
6    "format": "parquet",
7    "destination": { "type": "s3", "bucket": "acme-data", "prefix": "reversecontact/companies/" },
8    "snapshot_date": "2026-02-01"
9  }'

1import pandas as pd
2
3df = pd.read_parquet("s3://acme-data/reversecontact/companies/snapshot_date=2026-02-01/part-0000.parquet")
4print(df.head())

1const res = await fetch("https://api.reversecontact.com/v1/datasets/manifest?dataset=companies&snapshot_date=2026-02-01", {
2  headers: { "Authorization": `Bearer ${process.env.RC_API_KEY}` }
3});
4console.log(await res.json());

1{
2  "dataset": "companies",
3  "snapshot_date": "2026-02-01",
4  "format": "parquet",
5  "destination": {
6    "type": "s3",
7    "uri": "s3://acme-data/reversecontact/companies/snapshot_date=2026-02-01/"
8  },
9  "files": [
10    { "path": "part-0000.parquet", "rows": 5000000 },
11    { "path": "part-0001.parquet", "rows": 5000000 }
12  ],
13  "schema_version": "v3",
14  "metadata": {
15    "source": "public_web",
16    "generated_at": "2026-02-01T03:12:09Z"
17  }
18}

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Use cases

Where dataset delivery wins

When you want volume, control, and analytics-first workflows.

Market mapping & segmentation

Build market views by industry, headcount, geo, and growth signals in your warehouse.

Data science & modeling

Train scoring models and LTV predictions on consistent snapshots with stable schemas.

Internal BI & reporting

Power dashboards and performance analysis without calling live APIs.

Large-scale enrichment

Enrich millions of rows in batch with predictable refresh cycles.

Joins across internal sources

Unify product usage + CRM + B2B entities for a single source of truth.

Cost-efficient processing

Process at your own pace with your own compute—ideal for heavy queries.

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Process

How does it works ?

A bulk delivery flow built for warehouses.

01

Choose your dataset

Pick entities (companies, people, jobs, activities, contact data) and a delivery cadence.

02

Receive the snapshot

We deliver files to your environment (bucket and warehouse) with a manifest and schema versioning.

03

Query and build

Join, segment, and model—your team keeps full control of processing and access.

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Testimonials

Trusted by data-driven teams

“Our data team built an internal ops product with Reverse Contact. It improved identity resolution across systems and provided a reliable people & company layer.”

Ethan Carter

Data Team, Gitpod

“We use Reverse Contact as a trusted data provider for our product inside our RevOps workflows. It helps our customers unify CRM records and enrich missing context...”

David Bromberg

CEO, Lantern

“Reverse Contact provided a reliable identity resolution layer for our product. The API is straightforward, outputs are consistent, and match quality is strong.”

Lucas Perret

Head of Product, lemlist

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Compliance

Compliance-by-design. Built to be defensible.

Reverse Contact is designed to support GDPR/CCPA-aligned data practices. We maintain clear sourcing principles, respect data subject rights, and prioritize accuracy over guesswork.

GDPR

CCPA

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Check our Trust Center

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FAQ