# Crustdata vs RealEstateAPI

Crustdata records 100,533 monthly visits with +1.2% month-over-month growth and Contact for Pricing pricing. RealEstateAPI records 14,589 monthly visits with +3.4% growth and Contact for Pricing pricing.

| Metric | [Crustdata](https://openaitools.app/tool/crustdata) | [RealEstateAPI](https://openaitools.app/tool/realestateapi-com) |
| :--- | :--- | :--- |
| Website URL | https://crustdata.com | https://www.realestateapi.com |
| Categories | AI API, AI Agent, AI Sales | AI API, AI Real Estate, AI For Data Analytics, AI Predictions |
| Pricing Model | Contact for Pricing | Contact for Pricing |
| Monthly Visits | 100,533 | 14,589 |
| MoM Growth Rate | +1.2% | +3.4% |
| Primary Market | United States | United States |
| Direct Visits | 43,881 | 8,192 |
| Review Score | 4.5 | 4.4 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Crustdata

Crustdata indexes public web pages and resolves them into one continuously updated graph of people and companies, rather than a static archive of scraped records. That graph is exposed two ways: a flexible REST API with a filter language that supports intent-style queries, and an MCP server that drops the whole graph into an agent in a single line of configuration. Teams use it for search, enrichment, signals and watchers — the four primitives that cover most B2B data workflows.

The product is built around three claims it calls freshness, depth and resolution. Freshness means profiles are re-verified continuously instead of going stale; depth means a profile carries the whole story — role changes, funding events, hiring activity, open-source work — rather than a single row; resolution means every identity is mapped to the right human, which is the hardest part of B2B data and the reason agents so often sound confidently wrong. Crustdata markets itself chiefly to sales, recruiting and investing teams that now run sourcing flows end to end with agents.

Technically, queries are expressed as structured filter conditions over fields such as headcount, headcount growth over twelve months, total funding raised and country, and return records with company name, website, funding and headcount. Because agents do the querying, the interface avoids filter menus and list limits — you describe the target in natural language and the agent translates it into precise filters.

**Pricing & Plans:** Crustdata does not publish public list prices; pricing is arranged with the sales team based on use case and volume. A demo request and API key flow are available from the site.

- **Live graph of 1B people and 100M+ companies:** Every indexed web page is parsed and resolved into a single graph of people and companies that is re-verified continuously instead of archived.
- **REST API with intent-style filters:** Compose structured conditions over headcount, headcount growth, funding raised, locations and more, with no filter menus or fixed list limits.
- **MCP server for agents:** Drop the entire graph into an AI agent with a one-line MCP configuration so it can search, enrich and monitor without bespoke integration code.
- **Signals and watchers:** Track role changes, funding events and hiring activity on the accounts and people you care about, so agent workflows act on what changed rather than what was true last quarter.
- **Identity resolution:** Multiple sources are mapped to the right individual, reducing the duplicate and mismatched profiles that make agent output unreliable.

**Strengths:** Very large, continuously refreshed graph spanning people and companies; Both REST API and MCP, so it works for classic backends and for agents; Intent-based querying removes the filter-menu and list-limit constraints of typical B2B tools; Strong emphasis on fresh signals — role changes, funding, hiring — not just static firmographics

**Limitations:** No public pricing, so evaluation requires a sales conversation; Credit-based or volume-based structures can make cost hard to model up front; Resolving identities perfectly across the open web remains inherently imperfect

[Profile (Markdown)](https://openaitools.app/tool/crustdata.md)

## RealEstateAPI

RealEstateAPI is a developer-focused platform that packages U.S. property data into a single, well-documented REST API. According to the vendor, its dataset covers more than 159 million U.S. properties, roughly 95% of the market, and is cleaned, normalized and enriched before it is served so that engineering teams do not have to reconcile mismatched addresses or broken ownership records themselves.

The product is organized around a set of core capabilities: a Search API for filtering large property sets against strict criteria, automated valuations, parcel boundary and map tooling, ownership and skip-trace data, address auto-complete and verification, and bulk CSV-style processing. The company also promotes fastest-response performance for retrieving tens of thousands of records and 99.9% uptime as part of its enterprise positioning.

RealEstateAPI sells both self-serve and enterprise. Teams can create an account and start a free trial immediately, while larger customers can request custom endpoints and negotiated contracts. Pricing is described as usage-based and transparent, with the vendor positioning it below the cost of big-box data contracts. The site also publishes documentation, release notes, a status page and a customer help center.

**Pricing & Plans:** Usage-based pricing advertised as transparent with no hidden fees, plus a free trial and instant account creation. Enterprise customers can request custom endpoints and negotiated contracts; the vendor positions itself as roughly half the cost of large data-contract incumbents.

- **Search API over 159M+ U.S. properties:** Query large property datasets with strict filters so applications can surface narrow, exact matches instead of broad haystacks of results.
- **Automated valuations and analytics-ready data:** Access valuation outputs and cleaned, normalized data suitable for analytics, scoring and model-training pipelines.
- **Parcel boundaries and map tooling:** Layer boundary geometry and map-ready endpoints into applications that need spatial context, not just tabular records.
- **Address verification and auto-complete:** Standardize inconsistent address formats at input time to reduce duplicate records and downstream data clean-up.
- **Ownership, skip trace and bulk processing:** Enrich properties with owner data, run bulk jobs, and move tens of thousands of records through high-throughput endpoints.

**Strengths:** Broad U.S. coverage with data pre-cleaned and normalized, reducing ETL work for engineering teams; Single documented REST API covering search, valuation, parcels, addresses and ownership instead of stitching vendors together; Self-serve free trial and instant signup alongside enterprise options for custom endpoints; Performance positioning includes sub-second retrieval of large record sets and 99.9% uptime claims

**Limitations:** Coverage is U.S.-only, so it is unsuitable for international property use cases; Pricing is usage-based and quoted by scale, so costs are harder to predict up front for very high-volume workloads; Advanced custom endpoints and dedicated data-model work require an enterprise conversation rather than self-serve configuration

[Profile (Markdown)](https://openaitools.app/tool/realestateapi-com.md)

## Frequently Asked Questions

### How do Crustdata and RealEstateAPI compare in monthly traffic?

Crustdata has 100,533 monthly visits, while RealEstateAPI has 14,589. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Crustdata has a month-over-month growth rate of +1.2%; RealEstateAPI has +3.4%.

### How does pricing compare?

Crustdata: Contact for Pricing. Crustdata does not publish public list prices; pricing is arranged with the sales team based on use case and volume. A demo request and API key flow are available from the site. RealEstateAPI: Contact for Pricing. Usage-based pricing advertised as transparent with no hidden fees, plus a free trial and instant account creation. Enterprise customers can request custom endpoints and negotiated contracts; the vendor positions itself as roughly half the cost of large data-contract incumbents.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Firecrawl](https://openaitools.app/tool/firecrawl-dev) | 1,828,239 | -1.9% | Freemium, Contact for Pricing | Web data API that turns any site into clean, AI-ready content | [.md](https://openaitools.app/tool/firecrawl-dev.md) |
| 2 | [Clay](https://openaitools.app/tool/clay-2-0) | 1,267,465 | -2.7% | Freemium, Free Trial, Contact for Pricing | Build GTM systems that turn data into revenue | [.md](https://openaitools.app/tool/clay-2-0.md) |
| 3 | [TinyFish](https://openaitools.app/tool/tinyfish) | 1,124,952 | +199.7% | Freemium, Contact for Pricing | One API key for agent-grade web search, fetch, browsing and automation | [.md](https://openaitools.app/tool/tinyfish.md) |
| 4 | [Exa](https://openaitools.app/tool/exa-ai) | 1,062,574 | +16.8% | Freemium, Contact for Pricing | Web search API and crawler built for AI agents | [.md](https://openaitools.app/tool/exa-ai.md) |
| 5 | [Bright Data](https://openaitools.app/tool/bright-data) | 802,752 | -5.9% | Free Trial, Paid | Web data infrastructure for scraping, proxies, and AI-ready datasets | [.md](https://openaitools.app/tool/bright-data.md) |
| 6 | [Treg](https://openaitools.app/tool/treg) | 452,935 | +223.4% | Freemium | One key for 4,100+ agent tools, pay per call | [.md](https://openaitools.app/tool/treg.md) |
| 7 | [Merge](https://openaitools.app/tool/merge-dev) | 313,201 | +1.7% | Freemium, Contact for Pricing | The universal context engine connecting agents to data, tools, and models | [.md](https://openaitools.app/tool/merge-dev.md) |
| 8 | [ColdIQ](https://openaitools.app/tool/coldiq-x-slack) | 195,701 | -14.8% | Freemium, Paid, Contact for Pricing | One GTM data API for prospecting, enrichment and AI agents | [.md](https://openaitools.app/tool/coldiq-x-slack.md) |
| 9 | [Thor Data](https://openaitools.app/tool/thor-data) | 181,966 | -3.5% | Free Trial, Paid | Proxies and web data APIs for scraping and AI pipelines | [.md](https://openaitools.app/tool/thor-data.md) |
| 10 | [BeatAPI](https://openaitools.app/tool/beatapi-ai-model-data-web-apis-for-agents) | 99,987 | +1,012.7% | Freemium | One API key for 70+ AI models, 1,000+ data APIs and web tools | [.md](https://openaitools.app/tool/beatapi-ai-model-data-web-apis-for-agents.md) |

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Source: https://openaitools.app/compare/crustdata-vs-realestateapi-com

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