{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_leadfox","slug":"leadfox","name":"LeadFox","type":"product","url":"https://getleadfox.com","page_url":"https://unfragile.ai/leadfox","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_leadfox__cap_0","uri":"capability://search.retrieval.real.time.linkedin.comment.detection.and.ingestion","name":"real-time linkedin comment detection and ingestion","description":"LeadFox monitors your LinkedIn posts via API polling or webhook integration to detect incoming comments in real-time, parsing comment metadata (author profile, timestamp, comment text) and queuing them for processing. The system likely uses LinkedIn's official API or a scraping layer with rate-limit handling to maintain sub-minute detection latency, enabling immediate response windows before comment threads cool.","intents":["I want to respond to LinkedIn comments instantly without manually checking my notifications","I need to capture the moment when engagement is highest, before the conversation loses momentum","I want to automate the detection of new comments so I can focus on other work"],"best_for":["B2B SaaS founders with 20+ comments per post","Sales leaders managing multiple LinkedIn accounts","Content creators seeking to maximize engagement window"],"limitations":["LinkedIn API rate limits restrict polling frequency; detection latency typically 30-120 seconds depending on tier","Requires active LinkedIn post engagement; accounts with <5 comments per post will see minimal value","LinkedIn API access may be revoked if ToS violations detected (e.g., excessive automation)"],"requires":["Active LinkedIn account with posting history","LinkedIn API credentials or OAuth token","Minimum 20+ monthly comments on posts to justify cost"],"input_types":["LinkedIn post metadata (post_id, author_id)","Comment stream (comment_id, author_profile, text, timestamp)"],"output_types":["Structured comment queue (JSON with comment details, author info, engagement metrics)"],"categories":["search-retrieval","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_leadfox__cap_1","uri":"capability://text.generation.language.template.based.auto.reply.generation.with.variable.substitution","name":"template-based auto-reply generation with variable substitution","description":"LeadFox stores user-defined reply templates with placeholder variables (e.g., {{first_name}}, {{company}}, {{comment_excerpt}}) and dynamically populates them using extracted comment metadata and optional LinkedIn profile scraping. The system uses simple string interpolation or Handlebars-style templating to generate personalized responses while maintaining brand voice consistency, reducing manual composition time from minutes to seconds.","intents":["I want to send personalized replies without writing each one manually","I need to maintain a consistent tone across all auto-replies while still feeling personal","I want to insert commenter details (name, company) automatically into my responses"],"best_for":["Sales teams with templated outreach workflows","Founders who want to scale response volume without hiring support staff","B2B professionals managing high-volume comment threads"],"limitations":["Generic templates can appear robotic if not carefully crafted; poor template design damages personal brand perception","Variable extraction from LinkedIn profiles may fail for private accounts or incomplete profiles, resulting in blank placeholders","No semantic understanding of comment intent; templates are applied uniformly regardless of whether the comment is a genuine question, spam, or objection"],"requires":["User-created reply templates (minimum 1, recommended 3-5 variants)","LinkedIn profile data access for variable extraction (name, company, title)","Template syntax knowledge (e.g., {{variable}} format)"],"input_types":["Template string with placeholders (text)","Comment metadata (JSON: author_name, author_company, comment_text)","LinkedIn profile data (optional: follower_count, industry, title)"],"output_types":["Personalized reply text (string)","Reply with metadata (JSON: template_id, variables_used, confidence_score)"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_leadfox__cap_2","uri":"capability://data.processing.analysis.lead.capture.and.crm.integration.with.comment.to.contact.mapping","name":"lead capture and crm integration with comment-to-contact mapping","description":"When a reply is sent, LeadFox extracts the commenter's LinkedIn profile data (name, headline, company, profile URL) and creates or updates a contact record in an integrated CRM (Pipedrive, HubSpot, Salesforce) or internal database. The system maps comment metadata to CRM fields (source: 'LinkedIn Comment', campaign: 'Post ID', engagement_type: 'comment_reply') and optionally tags leads based on template variant used, enabling downstream sales workflows and attribution tracking.","intents":["I want to automatically add LinkedIn commenters to my CRM without manual data entry","I need to track which comments converted to leads and which posts generated the most qualified prospects","I want to segment leads by engagement type (comment vs. DM vs. post reaction) for targeted follow-up"],"best_for":["Sales teams using Pipedrive, HubSpot, or Salesforce","Founders building lead attribution models","B2B companies needing CRM hygiene and lead source tracking"],"limitations":["CRM integration requires API keys and OAuth setup; not all CRM platforms supported (unknown which integrations exist)","LinkedIn profile data extraction may be incomplete for private profiles, resulting in missing company or title fields in CRM","Duplicate contact detection relies on email matching; LinkedIn-only profiles without email may create duplicate records","No real-time sync; CRM updates may lag 5-30 minutes depending on integration batch frequency"],"requires":["Active CRM account (Pipedrive, HubSpot, Salesforce, or custom database)","CRM API credentials or OAuth token","Field mapping configuration (LinkedIn profile fields → CRM contact fields)"],"input_types":["Comment metadata (author_id, author_name, author_headline, author_company)","Reply metadata (template_id, timestamp, post_id)","LinkedIn profile data (profile_url, follower_count, industry)"],"output_types":["CRM contact record (JSON or API call)","Lead attribution data (source, campaign, engagement_type, timestamp)","Contact tags (array: ['linkedin_comment', 'template_variant_x', 'post_id_y'])"],"categories":["data-processing-analysis","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_leadfox__cap_3","uri":"capability://automation.workflow.scheduled.and.conditional.reply.delivery.with.spam.quality.filtering","name":"scheduled and conditional reply delivery with spam/quality filtering","description":"LeadFox queues generated replies and delivers them on a configurable schedule (immediate, delayed by X minutes, or batched hourly) to avoid triggering LinkedIn's anti-spam detection. The system applies heuristic filters to reject low-quality comments (e.g., spam keywords, single-word comments, bot-like patterns) and optionally requires human approval before sending, preventing brand damage from replying to irrelevant or malicious comments. Delivery uses LinkedIn's official API or a rate-limited posting mechanism to maintain account health.","intents":["I want to avoid LinkedIn spam filters by spacing out my replies naturally","I need to filter out spam comments and bot interactions before auto-replying","I want to review high-risk replies before they're sent to protect my brand reputation"],"best_for":["Accounts with high comment volume (50+ per day) needing rate-limiting","Brands sensitive to reputation risk from auto-reply failures","Teams wanting human-in-the-loop approval for critical replies"],"limitations":["Spam filtering is rule-based and may miss sophisticated spam or false-positive legitimate comments","Delayed delivery reduces response window advantage; immediate replies may still trigger LinkedIn's automation detection if sent too frequently","Human approval workflow adds latency (5-60 minutes depending on team availability), defeating the 'while you sleep' value proposition","LinkedIn's anti-spam algorithms are opaque; no guarantee that even rate-limited replies avoid shadow-banning"],"requires":["Configurable delivery schedule (immediate, delayed, batched)","Optional approval workflow (requires team member access)","Spam filter rule configuration (keyword blacklist, comment length thresholds)"],"input_types":["Generated reply text (string)","Comment metadata (text, author_profile, engagement_metrics)","Delivery preferences (delay_seconds, approval_required, batch_size)"],"output_types":["Delivery status (queued, approved, sent, rejected)","Spam filter decision (passed, flagged, blocked with reason)","Delivery timestamp and LinkedIn API response"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_leadfox__cap_4","uri":"capability://data.processing.analysis.lead.qualification.scoring.based.on.commenter.profile.signals","name":"lead qualification scoring based on commenter profile signals","description":"LeadFox analyzes commenter LinkedIn profiles to assign a qualification score (0-100) based on signals like follower count, job title seniority, company size, industry match, and engagement history. The system uses weighted heuristics (e.g., C-level titles +30 points, Fortune 500 company +20 points, relevant industry +15 points) to rank leads by fit, enabling sales teams to prioritize follow-up on high-probability prospects. Scores are stored in CRM tags or custom fields for downstream filtering and reporting.","intents":["I want to prioritize follow-up on the most qualified leads from my LinkedIn comments","I need to identify which commenters are decision-makers vs. tire-kickers","I want to automate lead scoring so my sales team focuses on high-fit prospects first"],"best_for":["B2B SaaS teams with defined ideal customer profiles (ICPs)","Sales leaders managing large lead volumes needing triage","Founders wanting to maximize conversion rate from LinkedIn engagement"],"limitations":["Scoring heuristics are generic and may not align with your specific ICP; requires manual calibration or custom rule configuration","LinkedIn profile data is often incomplete (private profiles, missing job titles); scoring accuracy degrades for incomplete profiles","No behavioral signals (e.g., website visits, email opens); scoring is based only on static profile data","Scoring is point-in-time; profiles change (job changes, company changes) but scores may not update in real-time"],"requires":["LinkedIn profile data access (title, company, follower_count, industry)","ICP definition or custom scoring rules (optional)","CRM field for storing scores (custom field or tag)"],"input_types":["Commenter LinkedIn profile data (JSON: title, company, follower_count, industry, headline)","Scoring configuration (weights for each signal, ICP filters)"],"output_types":["Lead score (integer 0-100)","Score breakdown (JSON: {title_score: 30, company_score: 20, industry_score: 15, total: 65})","Qualification tier (hot, warm, cold)"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_leadfox__cap_5","uri":"capability://data.processing.analysis.analytics.and.attribution.reporting.for.linkedin.engagement.roi","name":"analytics and attribution reporting for linkedin engagement roi","description":"LeadFox tracks metrics across the entire comment-to-lead pipeline: comment volume per post, reply send rate, lead capture rate, CRM conversion rate, and revenue attribution (if integrated with CRM deal data). The system generates dashboards showing which posts generated the most qualified leads, which templates performed best, and estimated ROI (leads captured / cost). Data is aggregated daily or weekly and can be exported to BI tools or displayed in-app.","intents":["I want to measure the ROI of LeadFox by tracking leads captured and revenue generated","I need to identify which LinkedIn posts and reply templates drive the most qualified leads","I want to understand the full funnel from comment to CRM contact to closed deal"],"best_for":["Founders and sales leaders needing to justify marketing spend","Teams running A/B tests on reply templates","Companies with CRM deal tracking wanting to attribute revenue to LinkedIn engagement"],"limitations":["Attribution is incomplete without CRM integration; can only track leads captured, not conversion or revenue","Multi-touch attribution is not supported; all credit goes to the comment reply, ignoring other touchpoints (email, ads, direct outreach)","Reporting latency is 24-48 hours; real-time dashboards are not available","Data retention policy is unknown; historical data may be deleted after 90-180 days"],"requires":["CRM integration for lead and deal tracking (optional but recommended)","Minimum 2-4 weeks of data collection for meaningful insights","Dashboard access (in-app or via API export)"],"input_types":["Comment metadata (post_id, timestamp, author_profile)","Reply metadata (template_id, send_timestamp, delivery_status)","CRM data (contact_created, deal_created, deal_value, close_date)"],"output_types":["Dashboard metrics (JSON or HTML: comment_volume, reply_rate, lead_capture_rate, conversion_rate)","Attribution report (CSV: post_id, template_id, leads_captured, deals_closed, revenue)","Performance comparison (template_a_conversion_rate vs template_b_conversion_rate)"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_leadfox__cap_6","uri":"capability://automation.workflow.multi.account.management.and.campaign.orchestration","name":"multi-account management and campaign orchestration","description":"LeadFox allows users to manage multiple LinkedIn accounts (personal, company page, team members) from a single dashboard, applying different reply templates and lead capture rules per account. The system enables campaign-level orchestration (e.g., 'Q4 Product Launch Campaign') where multiple accounts coordinate replies with consistent messaging while maintaining individual brand voice. Account-level settings (approval workflows, spam filters, delivery schedules) can be configured independently or inherited from a master template.","intents":["I want to manage LinkedIn automation across my personal account and company page from one place","I need my sales team to use LeadFox on their individual accounts with consistent brand messaging","I want to run coordinated campaigns across multiple accounts without duplicating configuration"],"best_for":["Sales teams with 3+ LinkedIn accounts","Companies managing both personal founder accounts and corporate pages","Agencies running campaigns for multiple clients"],"limitations":["LinkedIn ToS may restrict multi-account automation; using LeadFox on multiple accounts could trigger account restrictions","Team collaboration requires user management and permission controls; implementation details are unknown","Campaign coordination is manual (no automatic sync between accounts); teams must manually ensure consistent messaging","Account-level settings inheritance may create configuration drift if master templates are updated after accounts are created"],"requires":["Multiple LinkedIn accounts with API access","Team member accounts in LeadFox (if using shared dashboard)","Campaign configuration (name, accounts, templates, rules)"],"input_types":["Account credentials (LinkedIn OAuth tokens for multiple accounts)","Campaign definition (JSON: name, account_ids, template_ids, rules)","Account-level settings (approval_required, spam_filters, delivery_schedule)"],"output_types":["Campaign dashboard (metrics aggregated across accounts)","Account-level reports (leads captured, replies sent, conversion rate per account)","Configuration export (JSON: account_settings, template_assignments)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_leadfox__cap_7","uri":"capability://data.processing.analysis.linkedin.profile.enrichment.and.data.extraction","name":"linkedin profile enrichment and data extraction","description":"LeadFox extracts and enriches commenter LinkedIn profile data (name, headline, company, industry, follower count, profile URL) and optionally integrates with third-party enrichment APIs (Apollo, RocketReach, Hunter) to append missing fields like email, phone, and company website. The system caches enriched data to reduce API calls and stores it in the lead record for CRM sync and qualification scoring. Enrichment is triggered on comment detection or on-demand via manual lookup.","intents":["I want to automatically capture commenter email addresses and company details from LinkedIn","I need to enrich LinkedIn-only profiles with company and contact information for outreach","I want to avoid manual profile lookups by automating data extraction and enrichment"],"best_for":["Sales teams needing email addresses for follow-up outreach","Companies building lead databases from LinkedIn engagement","Founders wanting to automate lead research and qualification"],"limitations":["LinkedIn API has limited profile data access; full profile scraping may violate ToS and trigger account restrictions","Third-party enrichment APIs (Apollo, RocketReach) have accuracy rates of 70-85%; enriched data may be outdated or incorrect","Email enrichment is not guaranteed; many LinkedIn profiles have no publicly available email","Enrichment adds latency (2-10 seconds per profile) and cost (per-API-call pricing); real-time enrichment at scale is expensive"],"requires":["LinkedIn API access for profile data extraction","Optional: Third-party enrichment API keys (Apollo, RocketReach, Hunter)","CRM field mapping for enriched data (email, phone, company_website)"],"input_types":["LinkedIn profile URL or profile_id","Commenter metadata (name, headline, company)"],"output_types":["Enriched profile data (JSON: name, email, phone, company, company_website, industry, title)","Enrichment confidence scores (email_confidence: 0.85, phone_confidence: 0.60)","Data source attribution (linkedin_native, apollo, rocketreach)"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":39,"verified":false,"data_access_risk":"high","permissions":["Active LinkedIn account with posting history","LinkedIn API credentials or OAuth token","Minimum 20+ monthly comments on posts to justify cost","User-created reply templates (minimum 1, recommended 3-5 variants)","LinkedIn profile data access for variable extraction (name, company, title)","Template syntax knowledge (e.g., {{variable}} format)","Active CRM account (Pipedrive, HubSpot, Salesforce, or custom database)","CRM API credentials or OAuth token","Field mapping configuration (LinkedIn profile fields → CRM contact fields)","Configurable delivery schedule (immediate, delayed, batched)"],"failure_modes":["LinkedIn API rate limits restrict polling frequency; detection latency typically 30-120 seconds depending on tier","Requires active LinkedIn post engagement; accounts with <5 comments per post will see minimal value","LinkedIn API access may be revoked if ToS violations detected (e.g., excessive automation)","Generic templates can appear robotic if not carefully crafted; poor template design damages personal brand perception","Variable extraction from LinkedIn profiles may fail for private accounts or incomplete profiles, resulting in blank placeholders","No semantic understanding of comment intent; templates are applied uniformly regardless of whether the comment is a genuine question, spam, or objection","CRM integration requires API keys and OAuth setup; not all CRM platforms supported (unknown which integrations exist)","LinkedIn profile data extraction may be incomplete for private profiles, resulting in missing company or title fields in CRM","Duplicate contact detection relies on email matching; LinkedIn-only profiles without email may create duplicate records","No real-time sync; CRM updates may lag 5-30 minutes depending on integration batch frequency","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.31666666666666665,"quality":0.67,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:31.446Z","last_scraped_at":"2026-04-05T13:23:42.560Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=leadfox","compare_url":"https://unfragile.ai/compare?artifact=leadfox"}},"signature":"dSLt042Yd2voP9VczE1+2Ok4DZgwAo7hJ9Ec1QsFDtTpYKwV3yhUpdiPrkOMmLVxi+P2vJJP5v47g6bIQ3E7Cw==","signedAt":"2026-06-21T04:50:43.722Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/leadfox","artifact":"https://unfragile.ai/leadfox","verify":"https://unfragile.ai/api/v1/verify?slug=leadfox","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}