By KYN AI Advisory Team — AI implementation specialists, Singapore
Choose Clay if you want to start this week, your sources are the ones its data providers cover, and a sales operations person will own the table. Choose a custom research agent if your rules are fixed, your strongest sources are local registries or your own records, you must keep data in your own cloud account, or research feeds a larger system. Many SMEs should start on a tool and move to custom only when a specific limit appears.
This is a fair comparison, not a verdict against Clay. Clay is a mature product with a wide set of data integrations. The question is fit.
What does each option actually do?
Clay is a table. Each row is a lead. Each column is an enrichment, a lookup or an AI step. You pick data providers, chain them as a waterfall, and add an AI research step, which Clay calls Claygent, to read web pages and fill fields. Output goes to your CRM or sequencer.
A custom research agent is a program built for your process. It takes a company, runs the source list you chose (registry, website, tender portal, your own CRM), applies your fit rules, and writes a record with source links into your database. It runs in your cloud account.
Both can produce the same record. The difference is who controls the sources, the rules, the data and the cost curve.
How do they compare?
| Factor | Clay | Custom research agent | |---|---|---| | Time to first result | Days | Weeks (review, then build) | | Set-up skill | Sales ops comfort with tables | Engineering, done by a partner | | Data sources | Many providers, mostly global | Any source you can lawfully read, including local registries | | Southeast Asia depth | Varies by provider; test it | As deep as you build it | | Rules and scoring | Configurable in columns | Written as code and settings, versioned | | Where data lives | The vendor's platform, then your CRM | Your cloud account | | Audit trail | Table history | Every action logged with the actor | | Cost shape | Subscription plus credits per enrichment, see Clay pricing | Build fee plus a small run cost per record | | Change speed | You change it yourself | You request a change | | Lock-in | Workflows live in the product | Code and configuration pass to you |
Read the cost row carefully. Clay's price depends on credits, so the cost grows with volume. A custom agent has a larger up-front cost and a low cost per record. Where the lines cross depends on your volume. Work it out from your own numbers, not ours.
When does Clay make sense for an SME?
- You have no engineering resource and need results in days.
- You sell in markets where its providers hold good data, and you have tested that on 100 of your own records. See how to test a data vendor on 100 records.
- Your volume is modest and your process is still changing. A tool lets you try five variations without a project.
- One person will own the table and keep it tidy.
Starting here is often right. You learn which fields drive replies before you spend on a build.
When does a custom research agent make sense?
Five conditions point toward custom:
- Local sources matter most. Your strongest signals sit in ACRA, SSM, AHU or the Hong Kong registry, in tender portals, or in a government directory. Generic providers may be thin there. See company data sources for Southeast Asia.
- The research feeds a system. The record must trigger a task, a quote or a compliance check inside your own software, not sit in a table.
- You must control data location. A client contract, a regulator or your own policy requires data to stay in an account in your name.
- Rules are stable and strict. Fit rules such as "only companies with a registered entity in Singapore and fewer than 200 staff" are better as versioned code than as ten columns.
- Volume is high and predictable. Per-record cost on a custom build is low and flat.
If two or more apply, a custom build is worth costing.
Can you combine them?
Yes, and many teams should. Use Clay for exploration on a small list. When you see which steps repeat, move those steps into an agent. A common split:
- Clay: broad list building and provider enrichment.
- Custom agent: registry matching, local-source research, fit scoring, and writing to your CRM.
The handover point is the CSV or API call between them. Keep the record format the same so either side can be swapped.
What should you test before deciding?
Run the same 50 leads through both.
- Pick leads you know well, so you can judge accuracy.
- Define the record: fields, source link per claim, an "unconfirmed" field.
- Time each run and cost each run.
- Have a person mark every claim true or false.
- Compare accuracy, usable-trigger rate and reviewer time.
Choose on the numbers. If both are close, choose the one that costs less to change.
For the research method itself, see how to research a lead with an agent.
What does a decision look like on real numbers?
Use a small worked comparison. All figures here are illustrative; replace them with your own.
Assume a team researches 600 leads a quarter. Option A, a table product, costs a subscription plus credits for each enrichment step. Option B, a custom agent, costs a one-off build fee, a monthly retainer and a small run cost per record. Neither price is given here, because both change; read the vendor's pricing page and your own quote.
Work through four questions in order:
- What is the cost per usable record? Divide total spend for the quarter by the number of records a reviewer marked usable, not by records produced. A cheap run with 50 percent unusable output costs double.
- How many leads need local-registry research? If most of your list is Singapore, Malaysia, Indonesia or Hong Kong companies and the provider returns thin data for them, a tool will need manual patching.
- What happens when a rule changes? Time how long it takes to change "fewer than 200 staff" to "fewer than 500". In a table it is a column edit. In a custom agent it is a request, handled under the retainer.
- What is the exit cost? Ask what you keep if you stop. With a tool, you keep exported rows. With a custom build, you keep the code and configuration after full payment.
If the answers are close, start with the tool. A reversible choice beats a clever one.
Where KYN fits
KYN builds custom research and outreach agents in the client's own cloud account, with a front end designed around the team's workflow. Examples from live systems: outreach with one checkable first line at about S$0.02 per email, and an article engine at about S$0.06 per article. Agents use their own restricted accounts, every action is logged with the actor, and outbound messages wait for a named person.
KYN does not replace a tool where a tool fits. The first 14 days are a review of your stack and interviews with your team, which includes this question. A full build ships in under 90 days. Rights in the custom code and configuration pass to you on full payment. See sales systems, integrations and pricing.
Frequently asked questions
Is Clay worth it for a small Singapore business?
It can be, if your lead data is covered by its providers and one person will own the table. Test it on 100 of your own records and compare accuracy against a manual check before you commit to a plan.
Does a custom agent replace the CRM?
No. The agent writes to your CRM or to a database your team uses. The CRM stays the record of the deal. The agent removes the research and data entry before it.
How long does a custom research agent take to build?
For KYN, the first 14 days are a review, and a full build ships in under 90 days. The timeline depends on the number of sources and systems.
Checked 30 October 2026.
Curious whether Marketing agents fits your business? Talk to KYN on WhatsApp — no forms, just a conversation.
