What Revenue Operations Teams Should Evaluate in a Company Data API — Before Anyone Asks "Okki Go vs Hunter"

Three weeks, one spreadsheet, and the wrong question

In February 2024, I spent three weeks evaluating prospecting tools for a seven-person SDR team.

I built a spreadsheet. Cost per credit. Email verification pass rate on a 200-record sample. LinkedIn coverage depth. CRM sync latency. Contract flexibility. I ran free trials, sat through four demos, and read more "okki go vs hunter" comparison posts than any reasonable person should.

I picked the winner. I rolled it out. And it fell apart.

Not because the tool was bad. It fell apart for a reason that had never appeared in any column of my spreadsheet.

That was two years ago, and in 2026 I still watch revenue operations teams run the same playbook — except the stakes are higher now. Inboxes are more fragile, buying committees punish sloppy targeting, and legal actually picks up the phone when you ask about data permissions.

So here's what I wish someone had told me during those three weeks.

The problem you think you have

Let me set the scene fairly. If you're evaluating prospecting tools right now, you are almost certainly reading comparison content. Okki Go vs Hunter. Instantly vs whatever. Cost per verified email. Cost per LinkedIn seat.

That instinct isn't dumb. It's a procurement decision, and most procurement starts with price.

The trouble is that comparison tables measure things that are interchangeable. Early-stage prospecting tools are not interchangeable. They arrive with different data models, they write into your CRM differently, and — this is the part nobody puts in a blog post — they are more expensive to remove than to install.

It's tempting to think you can just compare cost-per-verified-email across vendors. But identical headline pricing across two enrichment providers can produce wildly different downstream costs once your SDRs start working the list.

For six years I ran outbound infrastructure for SaaS sales teams. I've personally made — and written down — five significant tooling mistakes, totaling roughly $38,000 in wasted budget and about 11 weeks of SDR time I can't get back. Now I keep the pre-launch checklist for our team so nobody has to relearn what I already paid for.

Here are the three things that checklist covers that my old spreadsheet never did.

The deeper problem: what you're actually buying

1. You think you're buying data. You're buying a workflow.

This is the one that killed us.

When you compare a company data API on record count and match rate, you're comparing raw material. But you never consume raw material. You consume a sequence: the API returns a company, enrichment fills in contacts, verification filters, intent data scores, and then a human or an agent decides who gets touched first.

Two vendors with identical match rates can produce completely different pipelines, because the order of operations differs. One enriches before verifying. One verifies before enriching. One dedupes at the account level, the other at the contact level.

If your evaluation doesn't model the sequence, you're grading the wrong thing.

2. Permissions are the question nobody asks until IT asks it

"What permissions does Okki Go require?" sounds like a security questionnaire item. It's actually a product design question, and it tells you more about a vendor than any pricing page.

Here's the practical version. When you connect a prospecting tool to a mailbox, a CRM, and a LinkedIn account, you are handing over scope. Mail read access. Mail send access. Contact write access. Sometimes calendar. Sometimes the ability to act on your behalf inside a third-party platform.

Ask any vendor in this category for the exact OAuth scopes and the data retention policy — and then ask where the data goes after it leaves their system. If the answer is vague, that's your answer.

I'm not going to tell you what Okki Go's current scope list is, because permission sets change and I'd be quoting something that may have moved. Pull it from the official documentation yourself before you sign. What I will tell you is that in September 2023, we connected a tool to a shared mailbox without checking whether it also requested contact-write scope. It did. It rewrote 1,400 contact owner fields overnight. We spent two days restoring from a CRM backup, and I'm still not sure we got all of them.

3. You think you're optimizing reply rate. You're actually protecting domain reputation.

This is the causation reversal that took me embarrassingly long to see.

People think expensive data providers deliver better quality. The causal arrow runs the other way: providers who can prove their data holds up under volume can charge more. They didn't get expensive because they're good — they got credibility first, and pricing followed.

The assumption is that reply rate is the metric that matters early. The reality is that early on, the metric that matters is whether your sending domain survives the first 90 days. Reply rate is a lagging indicator of list quality. Domain reputation is a leading indicator of whether you'll still have a channel in Q3.

Nobody puts that in a comparison table. It doesn't fit in a column.

What this actually costs when it goes wrong

September 2023. We migrated from one enrichment source to another because the new one was roughly 22% cheaper per credit and had a cleaner API.

Within three weeks, deliverability on our primary sending domain dropped hard. Not to zero — that would have been easier to notice. It dropped enough that SDRs started quietly doubting the tool and going back to manual LinkedIn outreach, which meant the ROI case for the new platform evaporated while we were still paying for seats.

The numbers, as best I can reconstruct them:

• About 11 SDR-days spent on manual list repair instead of prospecting
• Six weeks of reduced send volume during domain re-warmup
• One full quarter where our top 200 target accounts received no coordinated outreach

At a fully-loaded SDR cost of roughly $475/day, that's around $5,200 in direct time — before you count the pipeline that never got created.

I want to say the original import was about 8,500 records, but don't quote me on that; the number that matters is that our test sample of 200 looked fine. Verification pass rate on the sample was 94%. At volume it came in closer to 85%. That gap is invisible in a trial and brutal in production.

So glad we caught the duplicate-spine issue before the second batch went out. We were one approval click away from pushing the entire list into a segment that had already been contacted twice that quarter.

Looking back, I should have insisted on a staged rollout: 500 records, then 2,000, then full volume, with a week between each stage. At the time, the vendor's onboarding timeline made staged rollout feel like unnecessary friction. It wasn't friction. It was the only thing that would have caught the problem cheaply.

The checklist we actually use now

Four questions, asked before any contract. None of them are about price.

1. What are the exact OAuth scopes, and what happens to the data after it leaves? Get it in writing from the official docs. If your legal team asks about GDPR data minimization (Article 5(1)(c)) or CCPA deletion rights, you need an answer that isn't "the vendor says it's fine."
2. What's the sequence, not just the accuracy? Draw the pipeline: enrich, verify, dedupe, score, send. Where does each vendor sit, and what breaks if one step fails silently?
3. How does error rate behave at 10x volume? A 94% sample pass rate is a marketing number until you've seen it at 8,000 records.
4. What does removal cost? Seats, data export, CRM cleanup, re-warmup. If you can't answer this, you're not evaluating — you're gambling.

On LinkedIn outreach specifically: the platform's user agreement prohibits unauthorized scraping and automated access. Several tools in this category operate in that gray zone. Read the current agreement before you build a motion that depends on it.

Where this approach does and doesn't fit

Workflow-first platforms — the Okki Go category of tools, rather than the pure enrichment API category — tend to work well when you have an established ICP, a sending domain with history, and someone who owns RevOps full-time. The workflow orchestration is genuinely the value, not the record count.

If you're pre-product-market-fit and still figuring out who your buyer is, this category is probably overkill. You don't have a workflow to orchestrate yet. Start with a single enrichment API and a spreadsheet. Seriously.

And if your team has no one who can own permission reviews and CRM hygiene, don't buy the integrated platform. You'll pay for orchestration and get chaos.

Prices across this category move constantly — publicly listed tiers for the major enrichment and sequencing tools have ranged from roughly $30/month entry to four figures for team plans as of early 2026, and the current rates will be different by the time you read this. Verify before you budget.

The spreadsheet wasn't wrong to exist. It was just answering an easier question than the one I actually had.