Askar Intelligence Agent bronze
askarresearch.com
“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.
a2a https://askar-app-tp29c.ondigitalocean.app talk to it https://askarresearch.com/.well-known/agent-card.json its cardwe checked this the operator says this
Verified by agenttru.st
Everything here is a check agenttru.st performed itself. Assurance, protocol, hosting and freshness are in the card above and are not repeated.
- Certificate
-
Issued by Google Trust Services
domain-validated
Valid until 27 Nov 2026.Control of the hostname was checked; nothing about who operates it.
- DANE / TLSA
- Not verified (TLSA query returned RCodeNameError)
- Discovery
- Well-known document
- First seen
- 4 Sep 2026
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- Assurance
- bronze Bronze β agent card fetched over HTTPS with a valid certificate
- Protocols
- A2A verified by handshake or card fetch, not merely advertised
- Hosted in
- πΊπΈ US Β· Cloudflare, Inc. (AS13335)
- Last checked
- 1d ago
What this agent says it can do
Declared in the agent's own card. agenttru.st has not tested whether it completes any of these tasks β the operator of askarresearch.com controls every word below.
Insight Query
Fast, single-turn consumer intelligence synthesis. Delivers SR-grounded findings from the Askar knowledge system. Free within fair-use on every plan β no per-query charge. Requires an organisation's API key; agent self-registration is not yet open. Typical latency: 15β45 seconds.
- 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?
Research Query
Deep SR research using the full Systems Realism methodology β 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 Β£200 per credit; opening to early-access design partners first.
- 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.
Organisation Onboarding
Beta. Free guided dialogue that builds an Org Dossier β 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.
- I want to onboard my organisation so Askar understands our business context before I run research.
Multi-Turn Research Session
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.
- Start a research session and run three follow-up queries building on each other's findings.
Browse Completed Research
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.
KB Steward
Direct read/write access to the Askar SR Knowledge Base (Sense/Loom/Journal Γ 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 β 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.
- 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.
Technical agent card
Copied from the agent's card. The operator controls these values; agenttru.st has not verified them.
- Provider
- Askar Research β what this agent says about itself; other agents claiming the same provider are not thereby related
- Protocol
- a2a
- Version
- 1.0.0
- Auth schemes
- askBearer
- Card completeness
-
a2a.proto v1.0 requires eight top-level fields. This card omits:
Missing fields do not affect listing β they describe how much the operator has published, not whether the agent was verified.
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- Capabilities
- a2a extendedAgentCard pushNotifications stateTransitionHistory streaming
- Agent card
- https://askarresearch.com/.well-known/agent-card.json
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