# Crustdata vs Zinc

Crustdata records 100,533 monthly visits with +1.2% month-over-month growth and Contact for Pricing pricing. Zinc records 13,032 monthly visits with +49% growth and Paid, usage-based (per successful order and per API call); volume terms via sales pricing.

| Metric | [Crustdata](https://openaitools.app/tool/crustdata) | [Zinc](https://openaitools.app/tool/zinc) |
| :--- | :--- | :--- |
| Website URL | https://crustdata.com | https://www.zinc.com |
| Categories | AI API, AI Agent, AI Sales | AI API, AI Agent, AI Shopping Assistant |
| Pricing Model | Contact for Pricing | Paid, usage-based (per successful order and per API call); volume terms via sales |
| Monthly Visits | 100,533 | 13,032 |
| MoM Growth Rate | +1.2% | +49% |
| Primary Market | United States | United States |
| Direct Visits | 43,881 | 7,685 |
| Review Score | 4.5 | 4.5 |
| 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)

## Zinc

Zinc was built around a simple observation: buying things online programmatically is far harder than it should be. Every retailer has its own checkout flow, its own account requirements and its own way of reporting shipments, so most teams end up maintaining a fragile stack of scrapers and browser automations. Zinc replaces that with one API covering the full purchasing lifecycle. The platform reports more than 21 million orders placed and hundreds of millions of products indexed, which gives it the operational track record that makes it usable for production commerce rather than demos.

The API is organized around three functional areas. Discovery returns live product data — images, prices, weight, ratings and stock, plus variant and spec metadata — and lets a single query search across major marketplaces and independent Shopify stores. Ordering accepts a product URL, an address and a price cap, then handles checkout and hands back an order ID; you can supply your own retailer logins or buy on Zinc's accounts, and test mode lets you simulate stock-outs, price spikes and invalid addresses before you spend anything. Post-order tooling turns differing retailer and carrier reports into one clean event feed, with webhooks for shipment, delivery, failure and refund events, plus programmatic return label generation.

Zinc positions itself for three audiences. AI agents can perform a one-shot purchase or run many in parallel, settling the charge in the same request through the 402 payment flow. Developers get typed TypeScript and Python SDKs generated from the spec, plus an MCP connector, so integration mistakes surface in the editor rather than in production. Businesses use it to automate procurement on retailer accounts and negotiated pricing they already have, including retailers whose websites have barely changed in decades. Pricing is usage-based and transparent: $1 per successful order plus the item cost, with product data at $0.01 per call and volume terms available for teams placing a thousand or more orders a month.

**Pricing & Plans:** Usage-based and self-serve. Zinc charges $1 per successful order plus the cost of the item, with failed orders not billed. Product data costs $0.01 per API call. Optional add-ons are $0.25 for hosted tracking links and emails, and $0.10 for each item beyond the first ten on a single order. Funding fees apply to wallet top-ups: card 2.9% + $0.30, ACH 0.8% capped at $5, wire a flat $15, with self-serve top-ups from $15 to $100,000. Volume discounts and custom terms start at roughly a thousand orders per month via sales.

- **Real-time product data:** Query live pricing, availability, images, specs and ratings pulled straight from the retailer at the moment of the request rather than from a catalog refreshed last week.
- **Cross-retailer search:** One keyword or product query reaches Amazon, Walmart, Target, Costco, Etsy and Shopify stores at once, returning structured results you can order from directly.
- **Offer and seller comparison:** Compare price, shipping speed, condition and seller reputation across every offer for a product so you can act on the best deal instead of the first result.
- **Programmatic checkout:** Send a product URL, a shipping address and a price cap, and Zinc completes checkout and returns an order ID in seconds, at single-unit or batch volume.
- **Unified tracking and returns:** Retailer emails, carrier scans and delivery exceptions are normalized into one timeline, with webhooks and hosted tracking pages under your own branding.

**Strengths:** One integration replaces dozens of retailer-specific connectors for search, ordering, tracking and returns; Live product data with offer comparison across Amazon, Walmart, Target, Costco, Etsy, Shopify and Alibaba; Pay-per-successful-order model means failed attempts are not billed; Agent-native payments via x402/MPP with USDC on Solana, Base or Tempo, plus Stripe fiat

**Limitations:** Usage-based cost scales with volume: $1 per successful order plus the cost of the item itself, and product-data calls are billed separately; Requires a funded Zinc wallet (or per-request x402/MPP payment) before orders can be placed; fiat top-ups carry a processing fee; Output is API-first, so non-technical teams need developer help for the initial integration; Retailer coverage and features vary by merchant, and some purchases still depend on retailer-specific rules and account behavior

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

## Frequently Asked Questions

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

Crustdata has 100,533 monthly visits, while Zinc has 13,032. 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%; Zinc has +49%.

### 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. Zinc: Paid, usage-based (per successful order and per API call); volume terms via sales. Usage-based and self-serve. Zinc charges $1 per successful order plus the cost of the item, with failed orders not billed. Product data costs $0.01 per API call. Optional add-ons are $0.25 for hosted tracking links and emails, and $0.10 for each item beyond the first ten on a single order. Funding fees apply to wallet top-ups: card 2.9% + $0.30, ACH 0.8% capped at $5, wire a flat $15, with self-serve top-ups from $15 to $100,000. Volume discounts and custom terms start at roughly a thousand orders per month via sales.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [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) |
| 2 | [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) |
| 3 | [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) |
| 4 | [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) |
| 5 | [Algolia](https://openaitools.app/tool/algolia) | 689,970 | -11% | Freemium, Contact for Pricing | AI search and retrieval platform for modern apps and commerce | [.md](https://openaitools.app/tool/algolia.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 | [Pinecone](https://openaitools.app/tool/pinecone) | 286,732 | -31% | Freemium, Paid, Contact for Pricing | The managed vector database and knowledge engine for production AI | [.md](https://openaitools.app/tool/pinecone.md) |
| 9 | [AI/ML API](https://openaitools.app/tool/ai-ml-api) | 232,946 | -20.1% | Pay-as-you-go credits (free to start); enterprise custom pricing on request | One universal API for 500+ AI models and 1,000+ agentic tools | [.md](https://openaitools.app/tool/ai-ml-api.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/crustdata-vs-zinc

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