LinkedIn Career Intelligence

Returns stored career intelligence derived from the job history and applications in one analysed LinkedIn export: career trajectory pattern, identified target role, skill gaps, prioritised next steps, peer career pathways, and job-search insights. This requires the Jobs folder to be present in the export; when it is missing the response says so and names the remedy. Use when the user asks where their career is heading, how to move into a different role, or what is missing for a role they are targeting. Not for AI exposure or skills to build — that is get_improvement_tips.

get_career_timeline

Returns aggregate, counts-only facts about the connection records in the user's analysed LinkedIn export: how many connections it holds, how many were added in the twelve months and ninety days before the export date, how far back the network reaches, and what share of records carry a company or a title. When two exports generated on different dates have been analysed, it additionally returns how many connections are new, how many records are no longer present in the newer export, and how many matched records show a different recorded title or company — always stating both export dates. Returns counts, percentages and dates ONLY. It cannot name, list or identify any individual connection, cannot report anyone's name, employer, job title, profile URL or email address, cannot say who changed roles or who is absent, and cannot look anyone up. It has no live LinkedIn access. Use when the user asks how many connections they have, how recent their network is, or what changed between their exports.

get_connection_insights

Returns the stored AI career intelligence report for one analysed LinkedIn export: the AI Resilience Score and risk level, an AI impact summary, near-, medium- and long-term actions, skills to build, AI-vulnerable and AI-resistant skills, recorded pivot directions, profile strengths, areas for improvement, and recommendations. These are generated from the user's own export at analysis time, not live market research. Use when the user asks what to improve, which skills to build, or how exposed their role is to AI. Not for their raw scores or percentile ranks — those have their own tools.

get_improvement_tips

Returns stored counts describing the size and activity of the user's connection base in one analysed LinkedIn export: total connections, how many carry an email address, average new connections per month, connection growth rate, reactions given, comments posted, recommendations given and received, and account age in days. A metric the export did not carry is reported as unavailable rather than as zero. All values describe the single export named in the response. Use when the user asks how large their network is or how active they have been. Not for what changed between two exports — that is get_connection_insights.

get_network_summary

Returns the user's percentile rank for each LinkedIn dimension against other RankedIn users, both globally and within their peer group when one can be formed. Returns percentiles and averages only. It does not return salary, compensation, or market-rate data of any kind, and it cannot name any other user. A peer-group percentile is returned only when enough users share the same job level; otherwise the response says so plainly. Use when the user asks how they compare with other professionals or where they rank.

get_peer_comparison

Returns the stored scores from one analysed LinkedIn export: eight dimension scores (Network, Engagement, Credibility, Outreach, Content, Career, Learning, Influence) on a 0-100 scale, an overall LinkedIn score, and an AI Resilience Score with its risk level. A dimension with too little evidence is reported as unscored rather than given a number. Every figure describes the export named in the response, not the profile as it stands today. Use when the user asks for their own scores, how strong their profile is, or where they currently stand. Not for comparison against other people, not for recommendations, and not for connection counts — each of those has its own tool.

get_my_scores