{"name":"Askar Intelligence Agent","description":"Commercial intelligence agent using Systems Realism methodology. Produces grounded, evidence-backed consumer intelligence across biological, psychological, social, cultural, economic, and political strata. Operates autonomously across Insight (fast synthesis) and Research (deep SR analysis) tiers.","version":"1.0.0","url":"https://askar-app-tp29c.ondigitalocean.app","provider":{"organization":"Askar Research","url":"https://askarresearch.com"},"documentationUrl":"https://askar-app-tp29c.ondigitalocean.app/llms.txt","pricingUrl":"https://www.askarresearch.com/pricing.md","capabilities":{"streaming":true,"pushNotifications":true,"stateTransitionHistory":false,"extendedAgentCard":false,"a2a":{"taskEndpoint":"https://askar-app-tp29c.ondigitalocean.app/a2a"}},"defaultInputModes":["text/plain","application/json"],"defaultOutputModes":["application/json","text/plain"],"securitySchemes":{"askBearer":{"type":"http","scheme":"bearer","description":"Askar API key. Prefix: ask_. Obtain via POST /v1/intelligence/api-keys (requires JWT). Self-serve key issuance via auth.md anonymous-plus-claim flow (Phase 2b, pending)."}},"security":[{"askBearer":[]}],"skills":[{"id":"insight-query","name":"Insight Query","description":"Fast, single-turn consumer intelligence synthesis. Delivers SR-grounded findings from the Askar knowledge system. Free within fair-use on every plan — no per-query charge. Requires an organisation's API key; agent self-registration is not yet open. Typical latency: 15–45 seconds.","tags":["consumer-research","intelligence","insight","synthesis"],"examples":["What are the primary purchase drivers for Gen Z consumers of athletic footwear in the UK?","How does financial anxiety affect brand loyalty decisions among 30-45 year-old homeowners?"],"inputModes":["text/plain","application/json"],"outputModes":["application/json"]},{"id":"research-query","name":"Research Query","description":"Deep SR research using the full Systems Realism methodology — retroductive mechanism analysis, Loom finding synthesis, Journal knowledge integration, and REPL-based statistical reasoning. Runs on Research credits: included monthly with a subscription (Standard 3/month, Pro 15/month) or purchased individually at £200 per credit; opening to early-access design partners first.","tags":["consumer-research","intelligence","research","systems-realism","deep-analysis"],"examples":["Run a full SR analysis of the causal mechanisms behind declining brand loyalty in UK grocery retail.","Identify the biological and socioeconomic mechanisms driving health-food premiumisation among urban millennials."],"inputModes":["text/plain","application/json"],"outputModes":["application/json"]},{"id":"onboarding","name":"Organisation Onboarding","description":"Beta. Free guided dialogue that builds an Org Dossier — persistent business context, beliefs, goals, and felt knowledge gaps that future research sessions read as priors. No credit required. Complete this before running research queries for best results.","tags":["onboarding","setup","free"],"examples":["I want to onboard my organisation so Askar understands our business context before I run research."],"inputModes":["text/plain"],"outputModes":["text/plain","application/json"]},{"id":"multi-turn-session","name":"Multi-Turn Research Session","description":"Persistent conversational session for iterative research dialogue. Create a session, send multiple messages, end the session. Suitable when research requires clarification rounds or iterative refinement.","tags":["session","multi-turn","conversational"],"examples":["Start a research session and run three follow-up queries building on each other's findings."],"inputModes":["text/plain","application/json"],"outputModes":["application/json"]},{"id":"browse-research","name":"Browse Completed Research","description":"List and retrieve previously completed research deliverables for your organisation, plus Askar's publicly published research. Read-only access to finished work; does not run new research.","tags":["retrieval","deliverables","research","read-only"],"inputModes":["application/json"],"outputModes":["application/json"]},{"id":"kb-steward","name":"KB Steward","description":"Direct read/write access to the Askar SR Knowledge Base (Sense/Loom/Journal × Client/Global). Enables a specialised KB-steward sub-agent to search all knowledge layers, create Loom findings, submit Journal mechanisms, record knowledge gaps, and assess KB quality — all with hard containment (never born-Global, always do_not_promote, categorical confidence only). Requires a kb_steward-scoped API key, held by a claimed organisation account. No credit spend. No research session overhead.","tags":["knowledge-base","kb-steward","sense","loom","journal","headless"],"examples":["Search the Loom for all findings on price sensitivity in UK grocery retail.","Create a Loom finding citing observations from the Sense layer.","Submit a Journal mechanism grounded in a verified Loom finding.","Record a knowledge gap for topics with no Sense coverage."],"inputModes":["application/json"],"outputModes":["application/json"]}]}