Swordfish Review

Swordfish sells one thing harder than anything else: mobile numbers. It positions itself as a contact search engine that aggregates several data sources, cross-checks them, and returns cell phones, direct dials, and emails for people you find on LinkedIn, GitHub, or almost any profile page. This review covers what it actually does, what the pricing works out to per seat, what real reviewers on G2, Capterra, and Reddit report, and where a phone-first tool is the wrong purchase.

Verdict at a glance

What kind of tool is Swordfish?

Swordfish is a people-data lookup layer, not a database you browse. Most of its usage happens inside a browser extension: you open a LinkedIn profile, a GitHub account, a Twitter/X handle, or a company page, and the extension attempts to resolve that identity into contact details. The company's marketing leans on aggregation — it claims to check multiple upstream data vendors and validate results rather than serving a single static file.

That aggregation pitch matters because cell phone coverage is the hardest part of the contact-data market. Business emails follow predictable patterns and can be inferred from a domain; personal mobile numbers cannot. Vendors that hold real mobile coverage tend to license from a handful of underlying suppliers, and coverage varies wildly by geography and seniority. Swordfish's entire positioning is that it checks more of those suppliers per lookup than a single-source competitor would.

The secondary products round that out: a Prospector search for building lists with filters, file upload enrichment for backfilling a CSV or CRM export, an email verifier, and reverse lookup, which is the feature power users tend to cite. Reverse lookup lets you start from a fragment — an email address, a phone number, a social handle — and resolve the rest of the record, which is genuinely useful for recruiters working from partial candidate data.

How it works day to day

The intended workflow is browser-first. You source candidates or prospects wherever you normally do, and pull contact details in place rather than exporting a list and enriching it later. For recruiters sourcing passive candidates one at a time, this is a better fit than a batch-oriented database, because sourcing is inherently profile-by-profile.

For list-building at volume, Prospector search and file upload enrichment cover the batch path, and integrations with Salesforce, HubSpot, Pipedrive, Salesloft, and Zapier push records into the systems where sequences and dial lists live. Third-party listings also note the practical friction points: the advanced filters take some learning, and there is no dedicated mobile app, which only matters if you source on a phone.

One caveat on the "unlimited" framing. Vendor and reseller listings describe the paid tiers as uncapped rather than credit-metered, which is a meaningful difference from credit-based competitors where every failed lookup still costs you. Uncapped plans in this category almost always carry fair-use limits in the terms; if you plan to run tens of thousands of lookups monthly, get the actual ceiling in writing before you sign.

Swordfish pricing (2026)

Swordfish's public pricing page is behind a bot-check wall, so the numbers below come from the vendor's own indexed pages and multiple software listing sites rather than a page we could load directly. They agree on the entry tier and disagree on the team tier's billing term.

The real-cost math worth doing before you buy:

• At $99 per seat, a five-person SDR team is roughly $5,940 a year on solo seats — close enough to the team tier that the team plan only wins if it includes enough seats to beat that number. Ask exactly how many seats $599 covers, because the listings do not agree.
• Some sources describe the team plan as annually billed and others as monthly. That difference is a factor of twelve in your first invoice. Confirm it in the order form, not the marketing page.
• Free trial credits are small. The vendor's pricing page advertises a 10-credit trial, which is enough to sanity-check whether your specific target segment is covered and nothing more. Use those credits on your hardest personas, not your easiest ones.
• Contract terms are where the money moves. Annual commitments in this category typically carry double-digit discounts, and the entry price on any people-data site is rarely the final negotiated price for multi-seat deals.

The honest framing: at $99 per seat, Swordfish is priced as a daily driver for someone whose job depends on reaching people by phone. If phone numbers are a nice-to-have on top of an email motion, cheaper per-credit tools cover that need for a fraction of the spend.

What users say

Swordfish carries a rating of roughly 4.5 out of 5 on G2 across approximately 100 reviews, 4.3 out of 5 on Capterra from a much thinner base of about 13 reviews, and appears on Gartner Peer Insights with around 48 reviews. Trustpilot's listing is small enough — single digits — that its score should carry almost no weight in your decision.

The positive themes are consistent and specific. Reviewers praise the Chrome extension's fit with LinkedIn Sales Navigator sourcing, the hit rate on mobile numbers relative to competitors, and the fact that lookups rarely come back completely empty. Recruiters are overrepresented among the enthusiastic reviews, which tracks with the product design: profile-by-profile lookup with reverse search is a sourcing workflow more than a prospecting one.

The negative themes deserve more attention than the aggregate score suggests, because they cluster around commercial practices rather than product capability.

Billing and cancellation friction. This is the most serious recurring complaint. Capterra reviews include accusations of dishonest pricing and of credits being removed and then re-sold back to the customer. A personal-finance thread on Reddit describes a user being told they had to sign a legal document before their subscription would be canceled. Complaints of this shape are common across the people-data category — it is a sector with heavy annual contracts and aggressive renewal terms — but they show up here often enough that you should read the cancellation clause before signing and pay with a method you can dispute.

Privacy and data-sourcing scrutiny. A thread in r/cybersecurity criticizes Swordfish for selling personal data and for an opt-out process that requires submitting more personal information to get removed. The volume of third-party opt-out guides written about Swordfish is itself evidence that the removal flow frustrates people. To be fair to the vendor, this is a structural criticism of the entire contact-data industry, not a Swordfish-specific defect — every mobile-number provider faces the same objection. But it is a real compliance consideration if you sell into privacy-sensitive markets, and GDPR and CCPA obligations sit with you as the sender, not with your data vendor.

Speed and interface friction. Smaller but repeated: one Capterra reviewer described the tool as "SUPER SLOW when trying to find a contact's info," and multiple listings note that the advanced filters are unintuitive for new users. Neither is a dealbreaker; both are worth testing during the trial.

Accuracy claims vs. reality. The company advertises figures in the low-80s percent for cell phone accuracy and 90%-plus for email. Those are vendor claims, not independently audited numbers, and match rates in this category are always segment-dependent. Coverage on US mid-market sales leaders looks nothing like coverage on European engineers or Latin American executives. Test your own list before you believe any published match rate, from any vendor.

Pros and cons

Pros

• Genuinely strong mobile and direct-dial coverage relative to email-first competitors
• Reverse lookup from email, phone, or social profile is uncommon and useful for recruiters
• Uncapped plan structure avoids the credit-anxiety problem of metered tools
• Chrome extension fits sourcing workflows on LinkedIn and other profile sites
• Solid integration coverage: Salesforce, HubSpot, Pipedrive, Salesloft, Zapier
• Rating near 4.5/5 on G2 across a review base large enough to be meaningful

Cons

• $99 per seat is expensive if phones are secondary to your motion
• Repeated third-party complaints about billing practices and cancellation friction
• Privacy criticism and a widely documented opt-out process that users find burdensome
• Public pricing page is bot-gated, and team-tier billing terms differ across listings
• Ten trial credits is a thin sample for evaluating coverage
• Reported slowness on lookups and a learning curve on advanced filters

Swordfish alternatives

Contact-data vendors mostly license from overlapping suppliers, so the real differences are coverage by segment, pricing model, and contract behavior. Test two or three against the same list before committing.

• Lusha — the most direct comparison for phone-first prospecting, with a stronger self-serve free tier and clearer public pricing.
• Kaspr — LinkedIn-centric phone and email extraction, priced well below Swordfish for European coverage in particular.
• Cognism — enterprise-grade mobile data with phone-verified numbers and DNC screening; substantially more expensive and sold on annual contracts.
• RocketReach — broad contact coverage at a lower entry price, weaker on mobile numbers specifically.
• Apollo.io — a full prospecting platform with database, sequencer, and dialer bundled; better value if you need the whole stack rather than just data.
• LeadMagic — pay-as-you-go credits with mobile lookup, a good fit if you want to avoid seat-based subscriptions entirely.

Who should use Swordfish — and who shouldn't

Good fit: recruiters sourcing passive candidates one profile at a time, where reverse lookup and social-profile resolution earn their keep; SDR teams whose primary motion is cold calling and whose connect rate depends on reaching mobiles; agencies that bill enough per placement or per meeting that $99 a seat is trivially recovered.

Poor fit: email-first outbound teams who need volume of verified business emails rather than depth on phones — cheaper per-credit tools cover that better; small teams testing whether outbound works at all, where a $1,188 annual seat commitment is premature; organizations with strict privacy or procurement review, given the documented opt-out criticism; and anyone selling primarily outside North America without first running a coverage test on their own target list.