{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-agent-mindshare","slug":"agent-mindshare","name":"Agent Mindshare","type":"agent","url":"https://agentmindshare.com","page_url":"https://unfragile.ai/agent-mindshare","categories":["observability"],"tags":[],"pricing":{"model":"unknown","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-agent-mindshare__cap_0","uri":"capability://search.retrieval.multi.platform.llm.brand.monitoring.with.custom.prompt.execution","name":"multi-platform llm brand monitoring with custom prompt execution","description":"Executes user-defined or AI-generated prompts against multiple LLM APIs (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews) to measure brand visibility and competitive positioning. The platform abstracts away direct API management, routing queries through a unified execution layer that handles authentication, rate limiting, and response collection across heterogeneous LLM providers. Supports geographic/location-targeted query variants to capture regional mindshare differences.","intents":["Monitor how often my brand appears in AI agent responses compared to competitors","Track brand visibility across multiple LLM platforms without managing separate API keys and integrations","Execute location-specific queries to understand geographic variations in AI agent awareness","Automate recurring brand monitoring scans on a daily or weekly schedule"],"best_for":["marketing teams tracking AI-driven brand visibility and competitive positioning","product managers measuring adoption signals from AI agent conversations","growth teams automating SEO and competitive intelligence workflows"],"limitations":["Minimum monitoring frequency is daily; no real-time or sub-hourly monitoring available","Accuracy depends entirely on third-party LLM API behavior and response consistency — no fallback strategy documented if APIs are unavailable","Each query execution consumes credits (1 credit per scan at $0.10/credit); total cost per monitoring cycle depends on number of prompts × number of LLM platforms queried","Geographic targeting limited to unspecified 'specific geographic regions' — exact supported regions not documented","No control over LLM model versions or parameters; platform queries whatever version each provider currently serves"],"requires":["Agent Mindshare account with active subscription or free tier (30 free credits included)","Brands and competitors to monitor defined in platform dashboard","Custom prompts or acceptance of AI-generated prompts tailored to industry"],"input_types":["text (brand names, competitor names, custom prompts)","configuration (monitoring frequency, geographic regions, LLM platform selection)"],"output_types":["structured data (brand mentions, competitor mentions, response snippets)","analytics dashboard visualizations","JSON/BigQuery export for downstream analysis"],"categories":["search-retrieval","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-agent-mindshare__cap_1","uri":"capability://data.processing.analysis.ai.powered.sentiment.and.competitive.analysis.on.llm.responses","name":"ai-powered sentiment and competitive analysis on llm responses","description":"Analyzes LLM-generated responses to extract sentiment signals and automatically identify competitor mentions using AI-powered scoring. The platform applies sentiment classification to determine whether brand mentions are positive, neutral, or negative, and uses pattern matching or NLP to extract competitor names from response text. Results feed into dashboards and reports to surface competitive threats and brand perception trends.","intents":["Understand whether AI agents are discussing my brand positively or negatively","Automatically discover new competitors mentioned in AI agent responses","Identify sentiment trends over time to detect reputation shifts","Expand monitoring scope by automatically adding newly discovered competitors"],"best_for":["brand managers monitoring AI-driven perception and reputation","competitive intelligence teams discovering emerging competitors","product teams understanding how AI agents position their product vs alternatives"],"limitations":["Sentiment analysis methodology not disclosed — potential for LLM hallucination or bias in scoring","Competitor discovery algorithm not documented — may miss implicit competitors or misclassify entities","No control over sentiment classification thresholds or custom sentiment categories","Sentiment analysis accuracy depends on LLM response quality and clarity; ambiguous or sarcastic responses may be misclassified"],"requires":["Agent Mindshare account with active subscription","Completed monitoring scans with LLM responses to analyze"],"input_types":["LLM-generated response text (collected from multi-platform monitoring scans)"],"output_types":["sentiment scores (positive/neutral/negative classification)","competitor entity list (extracted from responses)","trend visualizations (sentiment over time, competitor frequency)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-agent-mindshare__cap_2","uri":"capability://automation.workflow.automated.daily.weekly.reporting.with.email.delivery.and.bigquery.export","name":"automated daily/weekly reporting with email delivery and bigquery export","description":"Schedules recurring monitoring scans at user-defined intervals (daily, weekly) and automatically generates reports aggregating brand mentions, sentiment trends, and competitor activity. Reports are delivered via email and simultaneously exported to BigQuery for downstream analytics and integration with BI tools. The platform maintains historical data across reporting cycles to enable trend analysis and anomaly detection.","intents":["Receive automated weekly reports on brand visibility without manual query execution","Export monitoring data to BigQuery for custom analysis and dashboard integration","Track brand mindshare trends over weeks and months without manual data collection","Integrate Agent Mindshare data into existing analytics pipelines and BI tools"],"best_for":["marketing operations teams automating competitive intelligence workflows","data teams integrating brand monitoring into centralized analytics platforms","executives requiring regular visibility reports without manual intervention"],"limitations":["Minimum reporting frequency is daily; no real-time or sub-hourly report generation","BigQuery export format and schema not documented — may require custom transformation for downstream tools","Email delivery timing and retry logic not specified — potential for missed reports if email infrastructure fails","Historical data retention policy not documented — unclear how long data is available for trend analysis","Report customization options not detailed — may not support all required metrics or visualizations"],"requires":["Agent Mindshare account with active subscription","Email address configured for report delivery","BigQuery project and credentials for export (if using BigQuery integration)","Monitoring configuration (brands, competitors, prompts) already defined"],"input_types":["configuration (reporting frequency, email recipients, BigQuery project details)"],"output_types":["email reports (HTML or PDF format, unspecified)","BigQuery tables (schema unspecified)","dashboard visualizations (accessible via web UI)"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-agent-mindshare__cap_3","uri":"capability://tool.use.integration.mcp.based.autonomous.agent.integration.for.self.directed.monitoring.expansion","name":"mcp-based autonomous agent integration for self-directed monitoring expansion","description":"Exposes Agent Mindshare capabilities as tools via Model Context Protocol (MCP), enabling external AI agents (particularly Claude Desktop) to autonomously invoke monitoring scans, analyze results, and expand monitoring scope based on discovered competitors. The platform acts as a remote MCP server that agents can query to perform brand visibility analysis without human intervention, supporting workflows where agents autonomously discover and monitor new competitors.","intents":["Enable Claude or other MCP-compatible agents to autonomously monitor brand visibility and expand scope","Allow agents to discover competitors and automatically add them to monitoring without human approval","Integrate brand monitoring into multi-step agent workflows that combine monitoring with other analysis tasks","Support agent-driven competitive intelligence where agents iteratively refine monitoring based on findings"],"best_for":["teams building AI agents that require autonomous competitive intelligence capabilities","organizations using Claude Desktop and seeking to extend it with brand monitoring","developers integrating Agent Mindshare into multi-step agent orchestration workflows"],"limitations":["MCP tool specification not documented — unclear which Agent Mindshare capabilities are exposed as tools","No documentation of tool parameters, response schemas, or error handling for MCP calls","Agent autonomy level not specified — unclear if agents can autonomously approve competitor additions or if human approval is required","MCP server reliability and uptime SLA not documented separately from main platform","No examples or documentation of Claude Desktop workflow integration","Tool calling may add latency to agent execution — specific latency impact not quantified"],"requires":["Agent Mindshare account with active subscription and API access enabled","Claude Desktop or other MCP-compatible agent framework","MCP server configuration and connection details (not documented)","Agent prompt engineering to define autonomous monitoring behavior"],"input_types":["agent-generated queries and monitoring parameters","discovered competitor entities from agent analysis"],"output_types":["monitoring scan results (brand mentions, sentiment, competitor data)","confirmation of monitoring scope updates","structured data for agent downstream processing"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-agent-mindshare__cap_4","uri":"capability://tool.use.integration.api.first.programmatic.access.for.custom.monitoring.and.growth.automation","name":"api-first programmatic access for custom monitoring and growth automation","description":"Provides REST API access to all Agent Mindshare capabilities (brand monitoring, sentiment analysis, competitor discovery, reporting) across all pricing tiers, enabling developers to build custom monitoring workflows, integrate with existing tools, and automate growth operations. The API supports programmatic scan execution, result retrieval, and configuration management without requiring dashboard interaction. Specific API endpoints and request/response formats are not documented.","intents":["Build custom brand monitoring dashboards integrated with internal tools and databases","Automate monitoring execution as part of CI/CD pipelines or scheduled jobs","Integrate Agent Mindshare data into custom analytics platforms or BI tools","Programmatically manage monitoring configuration (brands, competitors, prompts) at scale"],"best_for":["engineering teams building custom monitoring infrastructure","growth teams automating competitive intelligence workflows","data teams integrating brand monitoring into centralized platforms"],"limitations":["API specification not documented — no endpoint reference, request/response schemas, or authentication details provided","Rate limiting policies not specified — unclear how many concurrent requests or queries per minute are allowed","Error handling and retry logic not documented — unclear how to handle API failures or partial results","Latency SLAs not specified — no guarantees on query execution time or response time","API versioning strategy not documented — unclear how breaking changes are communicated","SDK availability not mentioned — developers must implement HTTP clients directly"],"requires":["Agent Mindshare account with active subscription and API access enabled","API key or authentication credentials (format unspecified)","HTTP client library (language-agnostic)","Documentation of API endpoints and schemas (not provided in available materials)"],"input_types":["JSON request bodies (schema unspecified)","query parameters for filtering and pagination (unspecified)"],"output_types":["JSON response bodies (schema unspecified)","structured monitoring results (brand mentions, sentiment, competitor data)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-agent-mindshare__cap_5","uri":"capability://text.generation.language.industry.tailored.ai.generated.prompt.creation.and.management","name":"industry-tailored ai-generated prompt creation and management","description":"Automatically generates custom monitoring prompts tailored to specific industries, eliminating the need for manual prompt engineering. The platform uses AI to create prompts that capture industry-specific terminology, competitive dynamics, and brand positioning nuances. Users can customize, approve, or replace generated prompts before execution. Prompt generation strategy and model selection are not documented.","intents":["Quickly set up brand monitoring without manually writing prompts for each industry context","Ensure prompts capture industry-specific terminology and competitive positioning","Reduce prompt engineering effort while maintaining relevance to business domain","Iterate on prompts based on monitoring results to improve brand visibility detection"],"best_for":["non-technical marketing teams without prompt engineering expertise","teams monitoring multiple industries requiring different prompt strategies","organizations seeking faster time-to-value without custom prompt development"],"limitations":["Prompt generation methodology not documented — unclear what model or approach is used to create industry-tailored prompts","No control over prompt generation parameters or customization options","Quality of generated prompts depends on industry classification accuracy — may miss niche industries or specialized terminology","No A/B testing framework to compare prompt variants and optimize for brand visibility","Generated prompts may not capture all relevant competitive dimensions or brand positioning nuances"],"requires":["Agent Mindshare account with active subscription","Industry classification or selection during setup","Optional: custom prompt refinement based on generated templates"],"input_types":["industry classification (text or category selection)","optional custom prompt text for refinement"],"output_types":["generated prompt templates (text)","customizable prompt library for monitoring execution"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-agent-mindshare__cap_6","uri":"capability://automation.workflow.credit.based.consumption.tracking.and.cost.management","name":"credit-based consumption tracking and cost management","description":"Implements a pay-per-use credit system where each monitoring scan consumes 1 credit (valued at $0.10/credit), with usage tracked and displayed in the dashboard. Users receive 30 free credits on signup and can purchase additional credits in bulk. The platform tracks credit consumption per scan, per brand, and per monitoring cycle, enabling cost visibility and budget management. No documentation of credit refunds, expiration policies, or volume discounts.","intents":["Understand the cost of each monitoring scan and total monitoring expenses","Budget for brand monitoring based on query volume and frequency","Optimize monitoring scope to control costs while maintaining visibility","Track credit usage across teams or departments for cost allocation"],"best_for":["finance teams managing marketing technology budgets","growth teams optimizing monitoring spend vs competitive intelligence value","organizations with variable monitoring needs requiring flexible pay-per-use pricing"],"limitations":["No unlimited tier available — all usage requires credit consumption","Cost per monitoring cycle depends on number of prompts × number of LLM platforms, but total cost is not pre-calculated or estimated before execution","Credit expiration policy not documented — unclear if credits expire or carry over indefinitely","No volume discounts or enterprise pricing mentioned — all users pay $0.10/credit regardless of volume","Refund policy not documented — unclear if credits can be refunded or transferred","No cost optimization recommendations or alerts for high-spend monitoring configurations"],"requires":["Agent Mindshare account with payment method on file","Initial 30 free credits (included with signup)"],"input_types":["monitoring configuration (number of prompts, LLM platforms, frequency)"],"output_types":["credit consumption reports (per scan, per brand, per cycle)","cost estimates (if available)","billing statements and transaction history"],"categories":["automation-workflow","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-agent-mindshare__cap_7","uri":"capability://search.retrieval.geographic.and.location.targeted.query.execution","name":"geographic and location-targeted query execution","description":"Enables monitoring scans to be executed with geographic targeting, allowing users to measure brand visibility in specific regions or locations. The platform routes queries to LLM APIs with location context to capture regional variations in brand awareness and competitive positioning. Supported geographic regions are not documented, and the mechanism for location targeting (IP spoofing, API parameters, or other methods) is not specified.","intents":["Measure brand visibility in specific geographic markets or regions","Understand regional differences in AI agent awareness of my brand","Monitor competitors in target markets without global noise","Track geographic expansion of brand mindshare over time"],"best_for":["global brands with regional marketing strategies","teams expanding into new geographic markets and monitoring competitive positioning","organizations with location-specific product variants or messaging"],"limitations":["Supported geographic regions not documented — unclear which countries, regions, or cities are supported","Location targeting mechanism not specified — unclear how geographic context is passed to LLM APIs","Accuracy of location-targeted results depends on LLM API support for geographic context — some APIs may ignore location parameters","No documentation of how location targeting affects query latency or cost","Regional LLM availability varies — some regions may have limited LLM coverage"],"requires":["Agent Mindshare account with active subscription","Geographic region selection during monitoring configuration"],"input_types":["geographic region or location identifier (format unspecified)"],"output_types":["location-specific brand mentions and sentiment","regional competitive positioning data"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-agent-mindshare__cap_8","uri":"capability://data.processing.analysis.dashboard.visualization.and.trend.analysis.of.brand.mindshare","name":"dashboard visualization and trend analysis of brand mindshare","description":"Provides a web-based dashboard displaying brand mentions, sentiment trends, competitor activity, and mindshare metrics across monitoring cycles. The dashboard aggregates data from multiple monitoring scans and LLM platforms into unified visualizations, enabling stakeholders to identify trends, anomalies, and competitive threats at a glance. Specific visualization types and customization options are not documented.","intents":["View brand visibility trends over time without manual data aggregation","Identify sudden changes in brand mentions or sentiment that require investigation","Compare brand mindshare against competitors in a single view","Share brand monitoring insights with non-technical stakeholders via dashboard"],"best_for":["marketing and product teams requiring visibility into brand perception trends","executives needing high-level brand mindshare metrics for decision-making","teams collaborating on competitive intelligence without technical data analysis skills"],"limitations":["Visualization types and customization options not documented — unclear what charts, filters, or drill-down capabilities are available","Dashboard refresh frequency not specified — unclear if data updates in real-time or on a schedule","No documentation of dashboard sharing or access control — unclear if dashboards can be shared with external stakeholders","Historical data retention not specified — unclear how far back trends can be analyzed","No export of dashboard visualizations to presentations or reports"],"requires":["Agent Mindshare account with active subscription","Completed monitoring scans with data to visualize"],"input_types":["monitoring configuration and historical scan results"],"output_types":["interactive dashboard visualizations (charts, tables, metrics)","trend analysis and anomaly detection"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["Agent Mindshare account with active subscription or free tier (30 free credits included)","Brands and competitors to monitor defined in platform dashboard","Custom prompts or acceptance of AI-generated prompts tailored to industry","Agent Mindshare account with active subscription","Completed monitoring scans with LLM responses to analyze","Email address configured for report delivery","BigQuery project and credentials for export (if using BigQuery integration)","Monitoring configuration (brands, competitors, prompts) already defined","Agent Mindshare account with active subscription and API access enabled","Claude Desktop or other MCP-compatible agent framework"],"failure_modes":["Minimum monitoring frequency is daily; no real-time or sub-hourly monitoring available","Accuracy depends entirely on third-party LLM API behavior and response consistency — no fallback strategy documented if APIs are unavailable","Each query execution consumes credits (1 credit per scan at $0.10/credit); total cost per monitoring cycle depends on number of prompts × number of LLM platforms queried","Geographic targeting limited to unspecified 'specific geographic regions' — exact supported regions not documented","No control over LLM model versions or parameters; platform queries whatever version each provider currently serves","Sentiment analysis methodology not disclosed — potential for LLM hallucination or bias in scoring","Competitor discovery algorithm not documented — may miss implicit competitors or misclassify entities","No control over sentiment classification thresholds or custom sentiment categories","Sentiment analysis accuracy depends on LLM response quality and clarity; ambiguous or sarcastic responses may be misclassified","Minimum reporting frequency is daily; no real-time or sub-hourly report generation","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.43,"ecosystem":0.25,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.28,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:02.370Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=agent-mindshare","compare_url":"https://unfragile.ai/compare?artifact=agent-mindshare"}},"signature":"uRHRi6ooVdSt+8UylqPH2srV4VCBrw5mJVZXSUkCY931PXjaUyX80KmLroY6jeTTdNzfPVRM97Kpu9UwekXODA==","signedAt":"2026-06-20T09:11:59.463Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/agent-mindshare","artifact":"https://unfragile.ai/agent-mindshare","verify":"https://unfragile.ai/api/v1/verify?slug=agent-mindshare","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"}}