Data

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Activities Data

Activity data built for real-world signals

Understand behavior, visibility, and engagement through structured activity events — for people and companies.

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See Documentation

New version on March 22nd

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Data points

Capture engagement signals that reveal intent and momentum

Posts

Reposts

Likes / reactions

Comments

Shares

Timestamps

Topics / keywords

Engagement metrics

Author / entity

1{
2  "activity_stream": {
3    "entity": {
4      "type": "company",
5      "name": "ExampleCo",
6      "domain": "exampleco.com"
7    },
8    "events": [
9      {
10        "event_type": "post",
11        "content": "We are expanding our platform to support new enterprise use cases.",
12        "topics": ["product", "enterprise"],
13        "engagement": { "reactions": 128, "comments": 22, "shares": 8 },
14        "timestamp": "2026-02-12T09:41:10Z"
15      },
16      {
17        "event_type": "comment",
18        "content": "Great insights — excited to collaborate!",
19        "engagement": { "reactions": 14, "comments": 0, "shares": 0 },
20        "timestamp": "2026-02-10T16:05:33Z"
21      }
22    ],
23    "metadata": {
24      "last_updated": "2026-02-15T10:18:42Z",
25      "source_type": "public_web"
26    }
27  }
28}
29

1{
2  "activity_stream": {
3    "entity": {
4      "type": "company",
5      "name": "ExampleCo",
6      "domain": "exampleco.com"
7    },
8    "events": [
9      {
10        "event_type": "post",
11        "content": "We are expanding our platform to support new enterprise use cases.",
12        "topics": ["product", "enterprise"],
13        "engagement": { "reactions": 128, "comments": 22, "shares": 8 },
14        "timestamp": "2026-02-12T09:41:10Z"
15      },
16      {
17        "event_type": "comment",
18        "content": "Great insights — excited to collaborate!",
19        "engagement": { "reactions": 14, "comments": 0, "shares": 0 },
20        "timestamp": "2026-02-10T16:05:33Z"
21      }
22    ],
23    "metadata": {
24      "last_updated": "2026-02-15T10:18:42Z",
25      "source_type": "public_web"
26    }
27  }
28}
29

1{
2  "activity_stream": {
3    "entity": {
4      "type": "company",
5      "name": "ExampleCo",
6      "domain": "exampleco.com"
7    },
8    "events": [
9      {
10        "event_type": "post",
11        "content": "We are expanding our platform to support new enterprise use cases.",
12        "topics": ["product", "enterprise"],
13        "engagement": { "reactions": 128, "comments": 22, "shares": 8 },
14        "timestamp": "2026-02-12T09:41:10Z"
15      },
16      {
17        "event_type": "comment",
18        "content": "Great insights — excited to collaborate!",
19        "engagement": { "reactions": 14, "comments": 0, "shares": 0 },
20        "timestamp": "2026-02-10T16:05:33Z"
21      }
22    ],
23    "metadata": {
24      "last_updated": "2026-02-15T10:18:42Z",
25      "source_type": "public_web"
26    }
27  }
28}
29

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Use cases

How teams put this data to work

Turn activity streams into triggers, scoring signals, and AI-ready context.

Intent signals & scoring

Convert activity into signals that reflect momentum, interest, and visibility. Improve prioritization by scoring accounts and personas based on engagement patterns.

Trigger-based workflows

Launch workflows when an entity becomes active or publishes relevant topics. Reduce manual monitoring by turning events into automation triggers.

Personalization & context injection

Enrich sequences and in-app experiences with recent, relevant context. Make messaging timely by referencing real signals rather than static firmographics.

Market intelligence & trend detection

Track topic distribution and engagement over time to spot emerging themes. Use structured events to compare industries, segments, or cohorts.

Customer success & relationship timing

Detect customer activity and engagement shifts to time outreach intelligently. Reduce churn risk by acting on early behavioral signals.

AI grounding for assistants

Feed agents with structured events so summaries and insights stay factual and time-bound. Improve RAG quality by providing timestamped, attributable context.

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Reviews

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