Swarmhit vs Edges
Edges hands your team 80+ raw LinkedIn actions with transparent quotas, and leaves the sequencer, the lead storage, the inbox, and live-mode pacing to you. Swarmhit is a Smart API: campaign engine, throttling, 250+ monitored safeguards, inbox API, and prospect data, driven through an API and webhooks. New to Edges? Start with our full Edges review.
- Sequencer built in
- 250+ safeguards monitored 24/7
- API and webhooks
Swarmhit
1 call
Carries the whole sequence
Steps, branching, delays and schedule in one POST /campaigns; add leads and set it active.
Edges
80+
Raw actions in live, async or scheduled mode; the sequencer is yours to build.
Swarmhit
250+
Safeguards, monitored 24/7
Dedicated proxies, managed warmup and smart sending caps on every send.
Edges
Smart Limits
Per-identity quotas enforced in every mode; in live mode the spacing between calls is on you.
Swarmhit
Inbox API
Every sender's replies, readable and answerable
AI interest classification and message.received webhooks; no polling loop.
Edges
Extract
Conversation and message actions; the inbox is your build, run data archived after 90 days.
Swarmhit
$16.90
Per LinkedIn sender, tiered
Down to $6.90 as the fleet grows; sequencer, proxies and warmup included.
Edges
$439/mo
50 identities at $8.79 each, before data credits or the accounts themselves.
How does Edges compare to Swarmhit?
80+ raw actions versus a Smart API with the outreach engine built in, feature by feature.
Swarmhit
Edges
Build LinkedIn outreach into your product
Protect the accounts
Legal exposure
Manage replies
Integrations and events
API documentation
Pricing
Comparison data last verified on 5 October 2026.
3 reasons to choose Swarmhit over Edges
Ship the feature, skip the build
Edges hands you 80+ LinkedIn actions and a guide that teaches you to build your own sequencer: leads table, dedup logic, state machine, orchestrator. Swarmhit exposes a working sequencer, inbox, and data layer through one API.
Pacing comes with the sequence
Edges enforces its Smart Limits in every mode and paces async and scheduled runs, but each run is one action: the sequence around it is yours, and in live mode so is the spacing between calls. On Swarmhit, campaigns are scheduled and paced by the engine, and per-sender limits are enforced server-side on every action, direct calls included.
Your pipeline outlives 90 days
Edges archives run data after 90 days and tells you to store results in your own system; there is no lead resource. Swarmhit keeps leads, lists, campaigns, and conversation history as durable resources your product can query.
What does Swarmhit do differently?
A sequencer your product can call
One POST /campaigns creates a campaign with its sender pool, sequence, branching, schedule, and exclusion rules; add leads and set it active. Rotation, retries, and delays are the platform's job, not your codebase's. The full surface is documented at developer.swarmhit.com.
More than 250 safeguards, monitored 24/7
Dedicated proxy per sender, managed warmup, live health checks, and smart sending caps are the visible part. Behind them, Swarmhit runs over 250 safeguards tuned to LinkedIn's behavior and monitored around the clock. Campaigns are paced for you; when you drive direct actions yourself, limits are still enforced server-side and our safety guide sets the timing.
One inbox API for every sender
Every reply from every sender lands in one inbox, readable and answerable through the API, with AI interest classification and a message.received webhook, so there is no polling loop to write.
When is Edges the better fit?
Data collection is the product
When LinkedIn data collection is the product and you have the team to own everything above the actions.
High-volume enrichment feeds your own pipeline
If your core need is high-volume enrichment and search, Sales Navigator list extraction, or signals feeding your own pipeline, metered credits with published quotas are a rational shape.
You want transparently documented limits
Edges documents its limits more transparently than most of the category.
If the goal is a LinkedIn outreach feature that works and keeps your users’ accounts safe, Swarmhit gets you there without betting your roadmap on it: less an Edges replacement than the layer you were otherwise going to build on top of it.
TL;DR verdict
If you are adding LinkedIn outreach to a product, a CRM, or a fleet of AI agents, Edges gives you well-documented raw actions and a real problem: its own guide teaches you to build the sequencer, its runs archive after 90 days, and live-mode pacing is yours by its own documentation, with your customers’ accounts on the line. Swarmhit is the Smart API those raw actions were missing: campaign engine, throttling, 250+ safeguards monitored 24/7, inbox API, and prospect data behind one API. That is the real choice behind the comparison: build the outreach layer, or buy it.
Before you build on it
Edges returns LinkedIn data without you connecting an account: “No cookies, no LinkedIn account, no warmup, no seats to babysit.” The reads run on what it calls “a managed session pool.” Its terms say Edges Labs “DOES NOT CARRY OUT ANY VERIFICATION” and make you indemnify it against third-party claims. Swarmhit runs every action on an account your customer owns and connects. The detail is below.
When raw actions stop being enough
Nobody leaves Edges because the API is badly built. Teams start looking past it when they price what sits above it: a sequencer to design from the guide in its docs, a lead store to operate because run data expires at 90 days, an inbox to assemble from extract actions, and live-mode pacing judgment to get right on someone else’s accounts. The actions were the cheap part; the quarter of engineering on top is what triggers the search.
The comparison is also apples to oranges, which is worth being honest about. Edges is a LinkedIn actions and data API with unusually transparent quotas; Swarmhit is a Smart API with the outreach engine built in. Decide first which product you are actually shopping for: raw actions to build on, or outcomes your product can call. The wider field is in our Edges alternatives guide.
What does Edges actually give you?
Edges is a LinkedIn actions API. It exposes more than 80 actions across LinkedIn, Sales Navigator and Recruiter Lite, most runnable live, async or on a schedule, with automatic pagination, batching, retries on async runs, and published per-action quotas enforced in every mode. The connection machinery is serious: hosted login links, checkpoint resolution, per-identity dedicated IPs. For what it covers, it is capable plumbing. But plumbing is what it is: what comes out is raw actions, one call at a time. Everything that turns actions into an outreach feature, and everything that keeps accounts alive in live mode, is explicitly your job.
Where does Edges get the data, and who carries the risk?
One structural question outranks every feature row on this page, and it is not about the sequencer. It is where the profile data comes from, and whose name is on the contract when someone objects.
Edges shares people with Captain Data, the French B2B data API company, under a new brand and a new US entity. The artifact is public: the Edges GitHub organisation, linked from Edges’ own homepage, published its first repository on 17 September 2025 with a README that read, in full, “Skeleton code to build Chrome Extensions with Captain Data.” Twelve minutes later the same repository was rewritten to name Edges instead, in a commit sent from a captaindata.co address belonging to a Directeur Général of Captain Data SAS. Captain Data continues to trade separately in France. What is new is the entity carrying the risk: Edges Labs LLC, a Delaware company with its registered office in Dover, whose domain was registered in August 2025.

Edges does not need you to connect a LinkedIn account to return LinkedIn data. Its homepage sells that as the headline benefit: “No cookies, no LinkedIn account, no warmup, no seats to babysit.” The mechanics are described the same way: “Access health, rotation and pacing are handled on our side. You never touch a cookie or a credential.” On its own Proxycurl comparison page it names the model directly, “Reads on a managed session pool,” reserving connected seats for outreach rather than for reads.
That is collection on accounts the vendor operates, the model LinkedIn has already litigated. In January 2025 LinkedIn sued Proxycurl, its parent Nubela Pte. Ltd., and two of its executives personally in the Northern District of California, with claims including breach of contract and the Computer Fraud and Abuse Act. The defendants settled, Proxycurl shut down on 4 July 2025, and the court entered a permanent injunction requiring deletion of the LinkedIn data. Edges describes that case accurately on its own site: “The lawsuit alleged scraping behind fake LinkedIn accounts. That architecture is what enforcement targeted.” It also states that nobody who touches LinkedIn data can promise immunity from LinkedIn’s terms, and puts itself inside that sentence.
Then read the contract. Edges Labs LLC is a Delaware limited liability company registered at 3500 South DuPont Highway, Dover, DE 19901. Its terms state that Edges Labs “DOES NOT CARRY OUT ANY VERIFICATION” and that the client is “RESPONSIBLE FOR VERIFYING THAT IT HAS THE RIGHTS AND/OR AUTHORIZATIONS REQUIRED.” The client agrees to “indemnify and hold Edges Labs harmless” from third-party claims.
Put those together and the deal is legible: the supplier operates the collection and the customer signs for the verification. If you embed this in a product, the failure mode is a supplier whose access stops, as Proxycurl’s did on 4 July 2025 to comply with its settlement with LinkedIn.
Swarmhit does not operate a read pool and does not sell cookie-less scraping, which we consider illegal. Every action, data collection included, runs on a LinkedIn account your customer owns and has connected, on a dedicated proxy, under caps we enforce: 2,500 Sales Navigator profiles a day and 1,000 from standard search. We do not resell data. That is a lower ceiling than a managed pool can quote you, and it is deliberate.
How do the API docs compare?
Edges has the largest documentation, by page count, of the raw LinkedIn APIs we compared, and it is current. Two public OpenAPI 3.1 files cover every documented action, including one added on 28 August 2026, and every page is also served as markdown for coding agents. Limits are documented in depth, from per-plan tables to per-action caps, and a rate-limited call returns Retry-After and the window that tripped. The callback tooling tracks each delivery with a stable reference, a filterable delivery log and replay.
Where it falls short is retry safety and consistency. There is no idempotency key, and live-mode retries are left to your code, so nothing in the docs protects a retried live message from going out twice. Run callbacks are not signed; the only way to authenticate one is a header you add yourself, and the retry schedule is not stated. The actions spec is versioned “dev”, carries no success example on any of its 275 operations and no example values for action inputs, so the reference pages fall back to placeholder values. And the error contract has two envelopes, a LIMIT_REACHED label the error table lists as 429 or 409 while some spec examples return 424, and labels in the guides that appear in neither the table nor the spec.
Swarmhit publishes a current OpenAPI 3.1 file, version 1.7.0, with 133 operations and 107 schemas behind 13 guides. Campaign sends are paced and retried by the platform, and the sends your code triggers, such as inbox replies and direct actions, accept an Idempotency-Key, so a retry replays the first response instead of sending again. A sender-limit 429 tells your code the limit, how much of it is used, the window and, for daily and weekly caps, when it resets. Every webhook delivery is signed, logged and replayable. The full reference is at developer.swarmhit.com.
What are you signing up to build on raw actions?
Who builds the sequencer?
You do, and Edges says so with unusual honesty. Its documentation has no campaign object; what it offers instead is a long guide to building a LinkedIn outreach sequence on top of the actions, complete with a leads table to design, deduplication logic, a lead-lifecycle state machine, business-hours scheduling, identity-failure recovery, and a full orchestrator example. That is a competent engineering spec for the product you thought you were buying. For a company whose actual product is a CRM or an AI agent, it is a quarter of roadmap spent rebuilding what a sequencer platform ships on day one.

What happens to your outreach data?
It expires unless you keep it. Edges archives run data after 90 days and its FAQ tells you to store results in your own system; there is no lead object, no list resource, no durable conversation history. Every audience you build and every reply you extract lives in your database, which means your team is also building and operating that database. On Swarmhit, leads, lists, campaign membership, and inbox threads are the platform's resources, queryable through the same API that runs the outreach.
Is live mode safe for your users' accounts?
Edges is direct about this: its quotas apply in live mode too, but live calls get no built-in pacing, and its docs warn that unpaced live traffic is the quickest way to get an account restricted. The guidance that follows, minimum delays, jitter, a ramp plan for cold accounts, is the judgment layer you would be signing up to implement. On Swarmhit, campaigns are scheduled and paced by the engine, and per-sender limits are enforced server-side on every action, direct calls included; when your code drives direct actions, our safety guide gives the timing to follow.

What does the price actually buy?
Edges runs two meters, and the credit meter is the wrong one to judge an outreach build by. Data actions bill as credits: $43.99 per 1,000 at the 2,500 minimum, $27.49 at the 10,000 tier, about $275 a month. Outreach bills separately per identity: $8.79 per LinkedIn account a month from 1 to 50, then a volume rate applied to the whole fleet, $7.91 at 100, $7.12 at 200 and $5.76 at 1,000, read on 5 October 2026. 50 senders is $439 a month on that meter before a single profile is enriched. Managed identity mode bills 1.5x standard credits. None of it buys the sequencer, the lead store or the inbox; Swarmhit's per-sender price includes those, plus pacing for every campaign. Pricing is public and tiered per connected sender, $16.90 a month for the first 50 down to $6.90 between 1,501 and 2,500, so the rate improves as the fleet grows rather than staying flat.

Competitor pricing and product facts on this page were checked against the vendor’s own pricing page and documentation, and against the public corporate and court records, on 5 October 2026. Vendors change prices without notice, so treat anything older than a month as indicative.
What does each option cost?
Edges bills usage: data credits from $43.99 per 1,000 at the 2,500-credit minimum, dropping to $27.49 at the 10,000 tier (about $275 a month) and further at scale, plus per-identity pricing for engagement actions: $8.79 per identity from 1 to 50, with volume rates from 100 identities. Managed identity mode bills 1.5x credits. Those prices buy the actions; the sequencer, the storage, the inbox, and live-mode safety judgment still have to be built and run by your team.
Swarmhit’s pricing is public: $16.90 per connected LinkedIn sender a month for the first 50, decreasing band by band down to $6.90 between 1,501 and 2,500 senders, and cold email from $59 a month for 50,000 sends. Each band of senders is priced at its own rate, so adding senders lowers what the next ones cost rather than repricing the fleet you already have. Above 2,500 senders, pricing is set with our team.
Why pay for a platform instead of metered actions? Because the price buys the work itself. Swarmhit absorbs LinkedIn’s weekly algorithm changes behind 250+ monitored safeguards and ships the campaign logic, so you build on a working foundation instead of spending months rediscovering it with your clients’ accounts at risk. We do the sequencing work; you build the rest. See the integration models or book the call.
FAQ
Swarmhit vs Edges, answered.
Buy the outreach layer,
not another build.
Ship a LinkedIn outreach feature with the sequencer, safeguards, inbox, and data already running, driven through an API and webhooks.