LinkedIn Analytics & Intelligence

Get real-time analytics for a specific LinkedIn post: views/impressions, likes, comments, and reposts count. Costs 1 API call. Only use if you need real-time data for a SINGLE post. For batch analytics or dashboards, use get_cached_post_analytics (instant, no API cost). Fetches live data directly from LinkedIn for the most up-to-date metrics.

get_post_analytics

Get cached post metrics for your account. Returns impressions, reactions, comments, reposts, and engagement rate for recent posts. Data is refreshed automatically by the content poller - no LinkedIn API calls are made. Supports sorting by any metric and filtering by content type.

get_cached_post_analytics

Get daily profile metrics over time: profile views count and follower data. Uses cached data from the content poller for fast responses. Useful for tracking how content campaigns impact your profile visibility and growth.

get_profile_analytics

Get a daily outbound activity summary: invitations sent, messages sent, posts published, and more. Aggregated from usage logs to show how actively you're using LinkedIn through Crispy. Useful for monitoring team activity and ensuring daily limits aren't being approached.

get_activity_analytics

See who viewed your LinkedIn profile recently. Returns viewer names, headlines, current company, and when they viewed your profile. Useful for identifying warm leads who are already interested in you and for monitoring profile visibility after content campaigns.

get_profile_viewers

List your LinkedIn connections (1st degree network). Returns names, headlines, profile URLs, and connection metadata. Supports pagination for browsing through your full network. Useful for CRM syncing, network analysis, and identifying messaging targets.

get_connections

Get your best-performing posts ranked by a chosen metric. Uses cached data from the content poller for fast responses. Supports ranking by impressions, reactions, comments, reposts, or engagement rate with a configurable lookback window.

get_top_posts

Purge all cached analytics data for your account. This removes post metrics and profile metrics from the cache. Data will be re-populated automatically on the next poll cycle. Use this if you suspect stale or corrupted cache data.

purge_analytics_cache

Get your AI-generated messaging and posting style guides. When you connect your LinkedIn account, Crispy automatically analyzes your sent messages and posts using Claude to create a detailed writing style profile. This includes formality level, greeting/closing patterns, vocabulary, tone, post formats, and more. Use this data to write messages and posts that match your authentic voice.

get_writing_style

Provide 1-3 LinkedIn profile URLs of people whose posting style you admire. Crispy fetches their recent posts and uses Claude to analyze the writing patterns, then generates a posting style guide based on those examples. This is perfect for users who don't post much themselves but want AI-generated content that matches a specific voice or format.

set_style_examples

Re-trigger the full writing style analysis pipeline. This re-fetches your latest LinkedIn messages and posts, then uses Claude to regenerate both your messaging and posting style guides. Useful after you've changed your communication style or want to incorporate recent activity.

refresh_writing_style

Backfill your analytics cache by fetching your full LinkedIn post history with pagination. Upserts all post metrics (impressions, reactions, comments, reposts, engagement rate) into the cache in one go. Run once to seed historical data - subsequent updates happen automatically via the polling system.

seed_post_analytics

Get an aggregated content performance summary: total impressions, reactions, engagement rate, and breakdown by content type (text, image, video, document, poll, article). Uses cached data for fast responses with a configurable lookback window.

get_content_summary

Get all learned preferences for your workspace and account (e.g. outreach_tone='formal'). Preferences influence future recommendations from all enrichment tools. Returns an empty array if no preferences have been set.

get_learned_preferences

Set an explicit preference that overrides AI recommendations. Examples: outreach_tone='formal', content_formality='casual', follow_up_frequency='weekly'. Use get_learned_preferences to see current values before setting.

set_preference

Remove a learned preference, resetting it to default behavior. The system will re-learn from future feedback. Use get_learned_preferences to see all current keys before resetting.

reset_preference

Launch an A/B experiment on a campaign to compare variant performance using SPRT (Sequential Probability Ratio Test) for statistical significance. Campaign must have at least 2 step variants. Metric can be acceptance_rate or reply_rate. Pure DB operation with no LinkedIn API calls.

launch_experiment

Get experiment status, per-variant stats, SPRT decision, and winner assessment with confidence and lift percentage. Returns insufficient_data when control has fewer than 5 samples. When a winner is detected, returns lift and confidence. Pure DB operation.

get_experiment_results

Apply the winning variant's content to the campaign sequence so all future sends use the winner. Replaces all step variants with only the winning variant. Experiment must be completed with a declared winner. Pure DB operation.

promote_experiment_winner

Get per-variant performance metrics for a campaign. Returns sent count, reply count, acceptance count, reply rate, and acceptance rate per variant per step. Pure DB operation with no LinkedIn API calls.

get_variant_stats