Real-Time B2B Data Broker via API or Data Feed

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NEW

Watcher API Is live! Real-time signals on key people & accounts

Track promotions, job changes, and funding rounds the moment they happen

Talk to founders

Book Demo

Watcher API Is live! Real-time signals on key people & accounts

Talk to founders

Book Demo

The Best

Clay Alternative

Built for Automated Workflows

The Best

Clay Alternative

Built for

Automated Workflows

The Best

Clay Alternative

Built for

Automated Workflows

Clay is a UI-first platform designed for manually building lead lists in spreadsheets.

Crustdata is an API-first data infrastructure built for automated workflows and AI agents.

Clay is a UI-first platform designed for manually building lead lists in spreadsheets.

Crustdata is an API-first data infrastructure built for automated workflows and AI agents.

If you're building internal GTM tools, custom enrichment engines, scaling autonomous agents, or embedding data into your product, Clay's table-based approach becomes a bottleneck. Here's why technical teams are making the switch.

“

I really want to rip out Clay entirely from the stack and build my own agent that I could just drop into a customer's environment. The founders would prefer something that wasn't based around a UI.

Technical Growth Consultant for AI Companies

Comparison Overview

Clay works well for manual list building and enrichment in spreadsheets. But when teams need to build automated workflows, event-driven systems, or AI agents, Clay's table-based architecture becomes a bottleneck.

Capability

Clay

Crustdata

Primary Interface

Table-based UI

API-first infrastructure

Data Source

Aggregator (sits on top of

100+ providers)

Aggregator (sits on top of

100+ providers)

Primary indexer (direct

from web)

Primary indexer (direct

from web)

Freshness

Mostly weeks/months old cached databases based on underlying data provider

Real-time web crawling

or data

Real-time web crawling

or data

Best for

Manual list building by

humans

Manual list building by

humans

Integration into automated workflows & AI agents

Enrichment Quality

30-40% require re-verification*

Realtime enrichment and accuracy from 10+ sources

API Access

Limited webhook support

Full REST API with comprehensive endpoints

*Based on customer reports: "Every time you use their Find People function, you have to also run enrichment. Typically you see 30 or 40% of the people found, don't actually work where they are found"

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Tables vs APIs: Architecture
Comparison

Clay's table-based interface works for manual workflows, but breaks down when you need to build automated systems, respond to real-time events, or embed enrichment into your product.

Dimension

Clay (Table-First)

Crustdata (API-First)

Interface

Spreadsheet-like UI with columns and rows

REST API returning JSON

Workflow Creation

Click through UI and

configure table columns

Click through UI and

configure table columns

Write code with custom

logic

Write code with custom

logic

External

Triggers

External

Triggers

Requires manual input - cannot respond to external events automatically

Responds to external events (such as CRM actions) automatically

Conditional

Logic

Conditional

Logic

Limited to pre-defined

table filters

Limited to pre-defined

table filters

Full programmatic control

Product Embedding

Cannot embed tables into your product

Native API integration into any application

Agent Compatibility

AI agents cannot operate spreadsheet UIs

Built for autonomous agents (JSON inputs and outputs)

Custom Workflows

Constrained by table structure

Unlimited custom logic in your codebase

“

I hate interacting with Clay tables. Now with Claude Code, I'd rather just build all this myself. Why ever log into Clay?

Founder of a Government Analytics Platform

Suitability for Agentic Workflows

AI agents need real-time data, programmatic control, and consistent schemas to operate autonomously. Clay's human-first design creates fundamental limitations for agent-based workflows.

Dimension

What Agents Need

Clay

Crustdata

Data Format

JSON via APIs (not spreadsheets)

Table-based UI

Native REST APIs returning JSON

Realtime vs Cached

React to what changed now, not weeks ago

Cached databases from providers

Real-time web crawling + optional cached database

API-Native

Programmatic inputs, no UI

Optimized for humans in UI

Built API-first for programmatic access

Rate Limits & Infrastructure

High limits for large scale agentic workflows

Dependent on underlying providers

Internal handling of infrastructure and rate limits

Pricing Model

Predictable API costs that scale with usage

Credit-based with variable provider costs

Predictable, direct per-call pricing

Data Consistency

Single normalized schema agents can rely on

Varies by provider being called

Unified schema across all endpoints

Coverage Model

Access any profile on-demand

Fixed database coverage from providers

On-demand discovery (any public profile)

Autonomous Operation

Can operate without human intervention

Requires human to manage tables

Fully autonomous via code

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Data Quality & Freshness Comparison

Clay aggregates from 100+ providers that may contain stale cached databases.

Crustdata is a Clay alternative that crawls verified sources directly in real-time, ensuring you get current, accurate data every time.

Dimension

Clay

Crustdata

Data Source Model

Aggregator (sits on top of 50+ providers)

Primary indexer (scrapes sources directly)

Data Collection

Buys from data vendors who maintain databases

Owns scraping infrastructure, collects firsthand

Freshness

Cached databases refreshed on provider schedules (weeks/months old)

Real-time scraping at moment of query (seconds old)

Accuracy Issues

30-40% of "Find People" results need re-verification

Realtime enrichment and accuracy

Data Coverage

Limited to pre-indexed databases from providers

On-demand discovery (can pull any profile from the web in real-time)

Schema Consistency

Varies based on underlying provider used

Unified, normalized schema across all endpoints

Pricing Comparison

Clay aggregates data from 100+ providers, each with different credit costs, making it difficult to forecast your monthly spend.

Crustdata charges a flat rate per API call allowing you to calculate your costs with simple math: calls × price per credit.

Dimension

Clay

Crustdata

Pricing Model

Credit-based consumption across multiple providers

Simple per-call API pricing

Credit Variability

Different providers charge different credit amounts

Flat rate per endpoint type

Predictability

Unpredictable costs - varies by which data providers are used

Predictable costs - simple calculation (number of calls × fixed price/credit)

When Should I Use Crustdata Instead of Clay

Clay and Crustdata serve different workflows. Clay is a good fit for manual enrichment and list building for teams who need a visual, no-code interface.

Crustdata is ideal for teams building automated systems, AI agents, and workflows that need to operate without human intervention.

Here's how to decide:

Scenario / Need

Clay

Crustdata

Fully autonomous

agents doing outbound

Fully autonomous

agents doing outbound

Limited (UI bottleneck, manual

steps)

Limited (UI bottleneck, manual

steps)

Best fit (API-first, built for agents)

SDRs manually building and reviewing lead lists

Best fit (spreadsheet-like UI, enrichment)

As an underlying data source if you need extra signals

Non-technical teams

running campaigns

Non-technical teams

running campaigns

Ideal (no-code, visual workflows)

Indirectly, via tools that call the API

Always-on monitoring for

triggers and events

Always-on monitoring for

triggers and events

Not designed for continuous polling

Best fit (real-time triggers, webhooks)

Product / platform

embedding data directly

Product / platform

embedding data directly

Possible but not native focus

Best fit (APIs, webhooks, infra handled)

Needing one UI to coordinate

many tools

Needing one UI to coordinate

many tools

Strong fit

Complementary as a data source behind Clay

Building custom workflows

with conditional logic

Building custom workflows

with conditional logic

Limited by table structure

Best fit (full programmatic control)

Real-time data for

decision-making

Real-time data for

decision-making

Not ideal. Depends on underlying data provider

Best fit (live web crawling)

Need large scale

enrichments

Need large scale

enrichments

Gets expensive + labor intensive (table management, re-verification, exports)

Predictable costs + automation scales without adding headcount

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Can I use Crustdata if I'm not a developer?

Do you offer a database download like Clay?

What if I need historical data, not just current?

Do you verify emails?

How fast is real-time enrichment?

Can I use both Clay and Crustdata?

What if I only need 100 enrichments per month?

What is a good substitute for Clay?

Company

Resources

Products

Company Enrichment API

Company Search API

People Enrichment API

Popular Use Cases

Power your Recruiting Platform

Power your Deal Sourcing Platform

Track Champions

Build Prospect Lists

Build Candidate Lists

Enrich Leads

Monitor Companies For Signals

Build Internal Sales Tools

Competitor Comparisons

Coresignal alternative

PeopleDataLabs alternative

MixRank alternative

Proxycurl alternative

Clay alternative

Clado alternative

Bright Data alternative

Scrapin.io alternative

ZoomInfo alternative

Enrich Layer alternative

info@crustdata.com

95 Third Street, 2nd Floor, San Francisco,

California 94103, United States of America

Terms & Conditions

info@crustdata.com

Terms & Conditions

95 Third Street, 2nd Floor, San Francisco,

California 94103, United States of America

info@crustdata.com

95 Third Street, 2nd Floor, San Francisco,

California 94103, United States of America

Terms & Conditions

Book Demo

The Best

Clay Alternative

Built for

Automated Workflows

I really want to rip out Clay entirely from the stack and build my own agent that I could just drop into a customer's environment. The founders would prefer something that wasn't based around a UI.

Comparison Overview

Book a demo

Tables vs APIs: ArchitectureComparison

I hate interacting with Clay tables. Now with Claude Code, I'd rather just build all this myself. Why ever log into Clay?

Suitability for Agentic Workflows

Book a demo

Data Quality & Freshness Comparison

Pricing Comparison

When Should I Use Crustdata Instead of Clay

Book a demo

Tables vs APIs: Architecture
Comparison