Linked API vs Warmly (2026)

Linked API

by Linked API

Warmly

by Warmly

Pros

• ✓Publishes an MCP server that connects LinkedIn to Claude, Claude Code, ChatGPT, Codex, Cursor and Windsurf, letting an AI agent execute 50+ LinkedIn actions directly, which few LinkedIn tools currently offer.
• ✓Dedicated cloud browser per account rather than shared infrastructure or HTTP scraping, with fingerprint matching, a stable residential IP from the user region, and daily, weekly and monthly caps configurable per action type.
• ✓Both tiers are publicly priced and self-serve with unlimited workflow execution, plus native n8n, Make, Zapier, Pipedrive, HubSpot and Zoho CRM integrations and conditional logic up to five levels deep.

Limitations

• ⚠No independent review corpus: the G2 profile carries zero reviews and is unclaimed, nothing appears on Capterra or Trustpilot, and Product Hunt engagement is single-digit, so reliability and support quality are hard to assess before paying.
• ⚠We could find no statement from Linked API about LinkedIn's own position on automated access. The safety page documents detection avoidance in detail, including fingerprint matching and a residential IP, but does not address whether this use complies with LinkedIn's User Agreement, so buyers carrying account risk should confirm that independently.
• ⚠Sales Navigator actions are gated to the Plus tier at $74 per seat per month billed annually, and seats are counted per LinkedIn account, so automating three accounts costs three seats and spend scales linearly rather than by usage.

Pros

• ✓Orchestration layer combines signals, data, and outbound in a single platform: replaces a stack of RB2B, Clearbit, 6sense, and Apollo.io with one integrated system, reducing tool sprawl and the data sync overhead between point solutions.
• ✓Real-time visitor de-anonymization plus autonomous outbound: the Inbound Chat plan identifies which company is on your website right now and triggers personalized outreach immediately, capturing intent at the peak moment rather than hours or days later.
• ✓AI ICP Tiering and ML Intent Scoring focus rep effort on highest-likelihood prospects: buying committee identification surfaces the right contacts within target accounts rather than requiring reps to manually map decision-makers.

Limitations

• ⚠Starting price of $10,000/year per product is inaccessible to early-stage and SMB B2B teams, who would evaluate Apollo.io, Clay, or Common Room as more accessible alternatives until they reach mid-market scale.
• ⚠Modular product SKUs mean teams wanting comprehensive coverage stack costs quickly: the three inbound products alone (web deanonymization $10K, inbound chat $20K, inbound autopilot $30K) reach roughly $60K/year before the outbound TAM Agent and add-ons.
• ⚠Warmly is a strategic platform purchase: after deep CRM and signal integration, migrating away requires meaningful re-architecture of revenue workflows, creating switching cost.