fluxgraph.app

List all tracked LinkedIn profiles for the authenticated user.

Analyze a public LinkedIn profile or company page without a Flux account: pulls the latest ~50 posts (once per profile) and returns a preview id, post count and a one-line posting summary.

Best day, hour, format and length for a previewed profile (from preview_profile).

Make a profile from preview_profile your own Flux dashboard.

List a tracked profile's persisted posts with full metrics and text — query against the local post library, no LinkedIn pull, free.

Get KPI summary for a tracked profile: total posts, average engagement (broken down by likes/comments/shares/conversation rate), posts per week, engagement trend, top format, and posting goal status.

Get optimal posting patterns for a profile: best day of week, best hour, format performance breakdown, and character length sweet spot.

Surface the most-frequent topics in a profile's posts, with engagement context.

Get engagement time series for a profile with gap-filled buckets, rolling averages, and trend direction.

Keyword + semantic search over persisted posts in the local library — full-text + pgvector cosine, no LinkedIn pull, free.

Return the authenticated user's current credit balance, this period's monthly allocation, and credits used since the period started.

Return recent credit_ledger transactions for the authenticated user.

Given an MCP tool name, return its credit cost so you can preview an action before running it.

Create a new research stream (external profile, company, topic, person interests, hiring signals, or ad watch).

List all research streams for the authenticated user (external profiles, companies, topics, person interests, hiring signals, ad watches, and own_profile).

Return the most recent posts a stream has collected into the library, newest first by published_at.

Pause a stream so it stops running on its cron schedule.

Resume a paused stream.

Delete a stream and its stream_runs.

Trigger an immediate run of an active stream, bypassing its schedule.

Fetch a LinkedIn person profile (headline, current role, work history, education, location).

Fetch recent posts from a LinkedIn person profile.

Fetch recent posts from a LinkedIn company page.

Search LinkedIn posts by keyword.

Fetch the recent posts a LinkedIn person has reacted to.

Fetch the recent posts a LinkedIn person has commented on.

Search LinkedIn job postings.

Search the LinkedIn ad library.

Search LinkedIn people.

Search LinkedIn companies.

Fetch the people who reacted to a single LinkedIn post.

Fetch the people who commented on a single LinkedIn post (and their comment text).

Find persisted posts whose embeddings are nearest to a free-text query — pgvector cosine over the local post library, no LinkedIn pull, free.

Predict how a draft post will perform against the user's historical data.

Given a topic, suggest distinct content angles informed by what performs well in the user's scoped data.

List all audience segments for the authenticated user, with member counts.

Create a new audience segment (named group of people) for the authenticated user.

Add one or more people (by person_id) to an audience segment.

Remove one or more people (by person_id) from an audience segment.

Resolve an audience segment into a concrete list of person_ids.

List available smart-segment templates.

Return recent alerts for the authenticated user's streams.

Create a new post collection for the authenticated user.

Pin one or more posts (by post_id) into a collection you own — works on any collection type.

Remove one or more posts (by post_id) from a collection.

List all post collections for the authenticated user, with member counts.

Resolve a post collection into a concrete list of post_ids.

Create a Constellation outreach campaign.

Add one or more target companies to a Constellation campaign.

Map the professional graph around a target company.

Re-score all constellation entries in a campaign and rewrite queue positions from highest to lowest composite score.

Return a prioritized outreach queue.

For one person, return their recent posts most relevant to what you post about — plus suggested talking points.

Append an entry to the outreach log for a Constellation campaign.

Summary stats for a Constellation campaign: target count, entry count, outreach volume, and acceptance / reply rates broken down by pool (coworker / engager / mutual) and composite-score tier.

Save a LinkedIn post to your library by its URL.

Given a LinkedIn post URL or id, return the companies whose people engaged (reacted/commented), ranked by engager count.

Histogram of engagers' companies grouped by industry.

Given a company URL or id, return engagers (across your collected posts) who have a position at that company.

Return a person's full employment timeline from the position graph.

For a target person, summarize all engagement evidence between them and your collected posts: posts they reacted to, posts they commented on, frequency, recency, reaction kinds, comment text snippets.

Returns the schema, FK edges, and 5 canonical SQL examples needed to write your own SELECT against the engagement graph via traverse_graph.

Executes a TS-validated SELECT-only SQL query against the engagement graph and returns rows.

Given two companies, return engagers across your collected posts who engaged with BOTH companies' posts.

Given a target person, find the shortest warm-intro path through your engager network.

Return the consolidated, deduped people who reacted to or commented on a SET of posts — one tracked profile's posts (profile_id) or a post collection (collection_id).