Tool Comparisons

    Clay vs Datanyze: Data Enrichment Tool Comparison

    Compare Clay and Datanyze side by side. See pricing, features, and integrations to choose the right data enrichment tool for your needs.

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    June 16, 2026Updated August 28, 20267 min read
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    The short answer

    Clay is enrichment infrastructure metering actions and data credits as two separate pools, free at 500 actions and 100 data credits a month and $167 a month at Launch. Datanyze is a Chrome extension lookup tool recorded at $29 a month for 80 credits, on a pricing page unreachable from this network.

    Key takeaways

    • Clay meters ACTIONS and DATA CREDITS separately, so a plan sized on one pool can stall on the other mid-workflow.
    • Clay's free tier grants 500 actions and 100 data credits a month, with unlimited seats and tables on every plan including Free.
    • Clay publishes headline monthly rates of $167 for Launch and $446 for Growth, with annual ladders starting from $54 and $185 a month.
    • Datanyze's pricing page returned HTTP 403 on every route tried from this network, so its recorded ladder comes from our own dataset rather than from a page read today.

    Reviewed and updated August 28, 2026

    Clay vs Datanyze: Data Enrichment Tool Comparison

    Clay meters two things at once and most comparisons notice only one. Its free tier grants 500 actions a month AND 100 data credits a month, separate pools that a workflow can exhaust independently. Datanyze meters one thing, credits, and its pricing page could not be read from this network at all. These two tools are different in kind, not in size.

    The Short Answer

    Pick Clay when enrichment is a workflow you build: waterfalls across many providers, AI research and automation between them. Pick Datanyze when you want cheap technographic lookups from a Chrome extension while you browse LinkedIn.

    The honest framing is that Datanyze is a lookup tool and Clay is an orchestration platform. A team that wants 80 contacts a month with technology stack data is not the same buyer as a team building a multi-provider enrichment pipeline, and the price gap between them says so.

    What Clay And Datanyze Actually Are

    Clay is a data enrichment and workflow automation platform. Its pricing page lists Free at $0 with 500 actions and 100 data credits a month, Launch at $167 a month from 15,000 actions, Growth at $446 a month from 40,000 actions, and Enterprise custom. Both paid plans expand on the same page: Launch runs from $54 a month at 180,000 actions a year on annual billing and Growth from $185 at 480,000.

    Datanyze is a technographic and contact data tool built around a Chrome extension. Its recorded ladder is Nyze Lite free with 10 credits a month, Nyze Pro 1 at $29 a month with 80 credits and Nyze Pro 2 at $55 with 160.

    That Datanyze ladder comes from our own pricing dataset rather than from a page read for this comparison, because datanyze.com answered HTTP 403 to every route tried from this network. Treat it as the last recorded state and confirm with the vendor.

    Pricing Compared

    Section illustration: Pricing Comparison

    $0Clay entry plan

    Free, 500 actions a month

    $29/moDatanyze entry plan

    Nyze Pro 1, dataset figure

    Entry pricing for Clay and Datanyze, taken from each vendor's own pricing page.

    Clay Pricing

    PlanMonthlyIncluded volume
    Free$0500 actions and 100 data credits a month
    Launch$167/moFrom 15,000 actions a month
    Growth$446/moFrom 40,000 actions a month
    EnterpriseCustomCustom actions

    Clay's page publishes a headline rate and then a second ladder underneath it, because both paid plans expand: Launch runs from $54 a month at 180,000 actions a year on annual billing, and Growth from $185 a month at 480,000. The meter that catches people is that ACTIONS and DATA CREDITS are two separate pools, so a workflow can exhaust one while the other sits full. Seats and tables are unlimited on every tier including Free.

    Source: Clay pricing

    Datanyze Pricing

    PlanMonthlyBilled annuallyCredits
    Nyze LiteFreeFree10 per month
    Nyze Pro 1$29/mo$21/mo80 per month
    Nyze Pro 2$55/mo$39/mo160 per month

    Datanyze's pricing page answers HTTP 403 from this network on every route tried, so this ladder comes from our own pricing dataset rather than from a page read today. Treat it as the last recorded state rather than as today's rate card, and check the vendor before relying on it.

    Source: Datanyze pricing

    Actions, credits and what they buy

    Here is an invented but arithmetically honest example built from Clay's published units. It is illustrative only and nothing in it comes from a customer.

    Clay's two meters are the thing to model. An action is a step a table runs; a data credit is what a provider lookup consumes. A workflow that enriches 1,000 companies through a five-step waterfall spends actions on every step and data credits only where a provider is called, so the two pools drain at different rates and a plan sized on one can stall on the other. Clay's own page prices them separately for exactly that reason: Launch starts from $54 a month for 180,000 actions a year and separately from $60 a month for 15,000 actions a month, with a data credit ladder beside it.

    Datanyze's arithmetic is far simpler and far smaller. Nyze Pro 1 records 80 credits a month at $29, so a credit is roughly 36 cents at list, and 80 lookups a month is a browsing habit rather than a pipeline. That is not a criticism; it is who the product is for.

    The comparison only makes sense at the very bottom. Above a few hundred contacts a month, Clay is the only one of the two in the conversation.

    Who Should Pick Which

    Pick Clay when you are building rather than looking up. Multi-provider waterfalls, Claygent research, unlimited seats and tables on every tier, and an HTTP API make it an infrastructure product, and teams that treat it that way get their money back.

    Pick Datanyze when the job is small and technology-stack shaped. A Chrome extension that surfaces a company's tech stack and a direct email while you are on a LinkedIn profile is a genuinely useful thing to have for $29 a month, and Clay is a heavy way to do it.

    Do not pick Datanyze on price alone without confirming the rate. Its page was unreachable for this comparison, so the figures here are the last recorded ones rather than today's.

    Answer yes to the top two and Clay wins
    • Yes: You want to run waterfalls across multiple providers
    • Yes: You enrich more than a few hundred records a month
    • Yes: Your team wants to automate enrichment rather than look things up
    • No: You mostly want tech stack data while browsing LinkedIn
    • No: Your budget is around $30 a month
    • Yes: You need unlimited seats on a cheap tier
    Where each tool fits. A "yes" leans Clay, a "no" leans Datanyze.

    What Each One Lists

    Both lists are each vendor's own wording from its own pages and records. Read them as advertising rather than as an audit: both return company and contact data and both export, so a column implying otherwise would overstate the difference.

    Clay lists
    • 150+ data provider integrations
    • AI-powered enrichment (Claygent)
    • Unlimited users on all plans
    • Credit rollover
    • Workflow automation
    • Data waterfall enrichment
    Datanyze lists
    • Technographic data and insights
    • Chrome extension for LinkedIn
    • Direct email and phone lookups
    • Company and contact profiles
    • Icebreaker conversation starters
    • Export to CSV
    Six of the capabilities each vendor lists on its own pages. These are list-membership claims, so a capability both products have can appear on both sides.

    Clay Key Features

    • 150+ data provider integrations
    • AI-powered enrichment (Claygent)
    • Unlimited users on all plans
    • Credit rollover
    • Workflow automation
    • Data waterfall enrichment
    • Custom API key support
    • HTTP API integration
    • Webhooks

    Datanyze Key Features

    • Technographic data and insights
    • Chrome extension for LinkedIn
    • Direct email and phone lookups
    • Company and contact profiles
    • Icebreaker conversation starters
    • Export to CSV
    • Tag and note management
    • Company technology stack tracking

    Clay's list is infrastructure: 150 or more provider integrations, waterfall enrichment, Claygent AI research, workflow automation, an HTTP API, webhooks, custom API key support and credit rollover. Unlimited users on all plans is on that list too, which is unusual and genuinely valuable. Datanyze's is a lookup tool: technographic data, a Chrome extension for LinkedIn, direct email and phone lookups, icebreakers, tags and CSV export. Only one of them is something you build on.

    Integration Ecosystem

    Section illustration: Integration Ecosystem

    Clay connects with: Salesforce, HubSpot, Pipedrive, Close, Apollo.io, Clearbit, ZoomInfo, Lemlist, Instantly, Smartlead, OpenAI, Google Sheets, Airtable, Notion.

    Datanyze connects with: Google Chrome, Salesforce, HubSpot.

    Both lists carry: Salesforce, HubSpot.

    Clay's integration list is the point of the product, reaching Salesforce, HubSpot, Pipedrive, Close, Apollo.io, Clearbit, ZoomInfo, Lemlist, Instantly, Smartlead, OpenAI, Google Sheets, Airtable and Notion. Several of those are data providers rather than destinations, which is what makes waterfalls possible. Datanyze's list is three entries long, Chrome, Salesforce and HubSpot, which is right for a browser extension and tells you not to plan a pipeline around it.

    Where Clay And Datanyze Sit In A Cold Outbound Stack

    Clay sits between your sourcing and your sending, and it can call several data providers in sequence so a miss on one becomes a hit on the next. Datanyze sits in a browser tab beside a LinkedIn profile.

    Our own house rule raises the stakes on the first of those: we send one message per campaign and never bump a thread, so every contact gets exactly one attempt and a wrong address is a lost prospect rather than a retry. That pushes hard toward waterfall enrichment and toward verifying before sending, which is Clay's design and is not something a single-source lookup tool can offer.

    Switching Between Them

    Moving from Datanyze to Clay is an upgrade in kind rather than in tier, so plan it as building rather than importing. Start with one table and one waterfall, watch how actions and data credits drain against each other on real rows, and size the plan from that rather than from a headline volume.

    Going the other way only makes sense if enrichment stopped being a workflow. Export your tables and enriched rows first, because a Chrome extension has no place to put them, and confirm Datanyze's current pricing with the vendor before committing, since its page was unreachable for this comparison.

    Getting Started

    Section illustration: Getting Started Checklist

    1. Count records enriched per month. Above a few hundred, Datanyze's credit allowances rule it out.
    2. On Clay, model actions and data credits separately, because a plan sized on one can stall on the other.
    3. Ask Datanyze for a current rate card; its pricing page returned HTTP 403 here on every route.
    4. Test Clay's free tier, 500 actions and 100 data credits a month, on your own worst segment rather than an easy one.
    5. Verify a sample of addresses from either tool before any of them reach a sending platform.

    Final Thoughts

    Clay is enrichment infrastructure with two meters and unlimited seats, and it rewards teams who build with it. Datanyze is an inexpensive lookup habit with a small credit allowance and a page nobody here could read.

    If enrichment is a workflow in your business, only one of these is a candidate. If it is an occasional lookup while browsing, Clay is more tool than you need.

    If you would rather have this run for you, RevenueFlow books qualified meetings on a pay-per-meeting basis and publishes client results.

    Pricing and features are taken from the vendors' own pages. Verify current terms with the vendor before relying on them.

    Questions

    Frequently asked questions.

    Frequently asked questions
    What is the difference between a Clay action and a data credit?
    An action is a step your table runs and a data credit is what a provider lookup consumes. They are separate pools on Clay's own pricing page and they drain at different rates: a long waterfall spends actions on every step and credits only where a provider answers. Size both, because exhausting either one stops the workflow.
    Why is Datanyze's pricing not confirmed here?
    Because datanyze.com answered HTTP 403 to every route tried from this network, plain and headless, which matches what earlier checks found. The ladder quoted is the last state recorded in our own pricing dataset rather than a page read today, and a block is never evidence a price has changed.
    Is Clay worth it for a small team?
    Often yes, because seats are not the meter. Clay lists unlimited users on all plans including Free, so a three-person team pays for volume rather than headcount. Start on the free tier with 500 actions and 100 data credits and measure how fast a real waterfall drains each pool before buying.
    Can Datanyze replace a waterfall?
    No. It is a single-source lookup tool with a Chrome extension and a small monthly credit allowance, and its integration list is three entries long. A waterfall exists to cover the misses of any one provider, which needs several providers callable in sequence, and that is what Clay's 150 or more integrations are for.
    ClayDatanyzeData Enrichment ToolComparisondata-enrichment
    Byline

    About the author.

    Tim Carden

    Tim Carden is CMO / CTO at RevenueFlow, which builds and operates outbound revenue engines for B2B companies. Studied at McGill University.

    Tim Carden · CMO / CTO

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