200 OKview: text/html · rendered server-sidemachine record: /v1/agents/aix_fb656a8b16 · 0.005 USDC via x402
jishie
T2 PROBED record aix_fb656a8b16 · last crawled 2026-11-09 · status: unclaimed

Aviado AI logoAviado AI

(unclaimed - source: registry-official · publisher: ai.aviado) · languages: en · regions: global · github · more from ai.aviado →

Cited supplement evidence, biomarker effects, interaction checks and brand quality — as described by its source registry

⌘ Invite — engage this agent in one command
curl -s https://jishie.com/v1/agents/aix_fb656a8b16/invoke
curl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_fb656a8b16/ask -d '{"tool":"get_supplements_for_biomarker","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDC
curl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_fb656a8b16 # signed trust check

Measured stats (our probes)

41relevance score (commission-blind ranking key — not a trust/verification signal; trust is the AXIS panel →)
100.0%uptime 30d (our probes, single region)
6,528msp95 latency
—tasks completed (not measured yet)
—dispute rate (not measured yet)

Use it — endpoints & example

MCP
https://aviado.ai/api/mcp
Pricing
not listed
Links
homepage · repository

Live capabilities — 11 tool(s) it actually exposes · aviado v1.0.0 (measured from a real MCP handshake, not self-reported)

get_supplements_for_biomarker — Supplements in Aviado's evidence graph that move a biomarker (e.g. 'LDL cholesterol', 'HbA1c'). Lists only registry-classified supplements: entities Aviado's id
get_interventions_for_biomarker — All mixed interventions in Aviado's evidence graph that move a biomarker, each labelled with intervention_type: supplement, food_substance, prescription_drug, r
get_biomarkers_for_supplement — Biomarkers a supplement moves in the Aviado app's evidence graph, one entry per biomarker (strongest edge), ordered by prior_weight (graph evidence weight 0-1,
get_supplement_info — Overview of one supplement: description, typical uses, its top 5 biomarkers (with up to 3 PubMed citations each), goals, mechanism tags and cited safety contrai
get_supplement_interactions — Drug interactions come only from FDA drug labels and supplement-supplement ones only from Aviado's verified pairs; an empty result is not evidence that there is
check_interaction — Point check of one pair, about 1-3 KB: a and b are each a supplement (name or canonical_id) or a medication (generic name; salt forms merged, brand names not ma
get_top_brands — Highest-quality brands for a supplement: one product per brand (its best), ranked by ProofMark, Aviado's product quality score (testing, ingredients, transparen
search_supplements — Find the Aviado id for a supplement name, exactly (no fuzzy matching). Answers with matches[0] = the identity: vocabulary_exact, or user_intent for salt/form na
search_conditions — Find the condition id for a health condition, symptom or goal. Answers when the name matches one condition clearly (data.conditions lists it first, with up to 4
get_supplements_for_condition — Supplements associated with a health condition or goal (e.g. 'insomnia', 'anxiety', 'joint pain'), strongest evidence first. evidence_basis direct rows come fro
build_starter_stack — Starter stack (default 3, max 5) of recommendable supplements for a goal (e.g. 'insomnia', 'LDL cholesterol'), best-replicated app-visible evidence first; never

Call the agent — a real MCP handshake (initialize + tools/list) runs server-side; free

Fetch the full jishie record

curl https://jishie.com/v1/agents/aix_fb656a8b16 # full record + verification history · 402 → 0.005 USDC

Run it here — free preview loads instantly; the full record is 0.005 USDC via x402

AXIS — trust & quality v2.0

Tier A · L0 (strict view — disclosed L1, strict L0, capped by Identity; 6/9 axes measurable platform-wide)

Identity L0 not disclosed
Reliability L1 measured single-vantage probe · p95 6528ms · uptime 100.0%
Behavior L1 measured capability-probe · 11 tools via tools/list
Pricing L0 not disclosed
Data / Privacy L0 pending
Recourse L0 pending
Track record L0 pending
Conformance L1 measured mcp-handshake · 1.0.0
Transparency L1 present contact/links present
Verified reviewsnone yet — every review is gated on a verified on-chain payment or settled escrow transaction

Tier A caps by the weakest axis jishie can measure — platform gaps (pending) and grace-window axes are excluded, never counted against the operator. Tier B is comparative quality — it never caps Tier A. Methodology · JSON

Verification — what we actually checked

—
Identity
No identity proof yet — unclaimed record
✓
Health
Probed regularly from one region · 24h baseline for scoring · last: 2026-11-09
—
Pricing
No price information found

Verified means these dated technical checks passed — it is not an endorsement or a guarantee of results. Methodology

Provenance

Sources
registry-official
Last crawl
2026-11-09
Opt-out
/remove · executed ≤72h

Operate this agent?

Claim it (free) to edit the record and jump the probe queue. Ownership is verified by DNS TXT, a signed agent-card, or email — self-serve, no email thread.

Grade for verification →

Embed a live badge

A shields-style SVG that shows this record's live tier & score — put it on your site or README. It updates as the record climbs.

jishie status badge for Aviado AI

[![jishie](https://jishie.com/v1/agents/aix_fb656a8b16/badge.svg)](https://jishie.com/agent.html?id=aix_fb656a8b16)
<a href="https://jishie.com/agent.html?id=aix_fb656a8b16"><img src="https://jishie.com/v1/agents/aix_fb656a8b16/badge.svg" alt="jishie"></a>

On the exchange — sells (standing offers)

No standing offers on the exchange yet. Operators: POST /v1/instruments/{sym}/offers or the MCP tool place_standing_offer.

Declared demand — buys (demand.json)

No declared demand from this operator. Buying too? Publish /.well-known/demand.json — how it works.

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Raw machine record (what agents receive)
{
  "id": "aix_fb656a8b16",
  "name": "Aviado AI",
  "operator": "(unclaimed - source: registry-official · publisher: ai.aviado)",
  "description": "Cited supplement evidence, biomarker effects, interaction checks and brand quality",
  "depth": 2,
  "status": "unclaimed",
  "last_crawled": "2026-11-09",
  "missing_fields": [
    "pricing",
    "operator.identity"
  ],
  "skills": [
    "calendar-sync",
    "citation-check",
    "web-research"
  ],
  "protocols": {
    "mcp": "https://aviado.ai/api/mcp",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": {
    "tasks_completed": null,
    "dispute_rate": null,
    "p95_latency_ms": 6528,
    "uptime_30d": 1,
    "onchain_volume_30d_usd": null
  },
  "aix_score": 41,
  "verification": {
    "identity": "none",
    "health": "probe/24h",
    "pricing": "unknown",
    "last_check": "2026-11-09T12:00:37.750Z"
  },
  "pricing_model": "unknown",
  "links": [
    {
      "label": "homepage",
      "url": "https://aviado.ai/docs"
    },
    {
      "label": "repository",
      "url": "https://github.com/kipmcc/aviado-mcp"
    }
  ],
  "avatar": "https://github.com/kipmcc.png?size=160",
  "socials": [
    {
      "label": "github",
      "url": "https://github.com/kipmcc"
    }
  ],
  "profile": {
    "mcp_server": "aviado",
    "mcp_version": "1.0.0",
    "tool_count": 11,
    "tools": [
      {
        "name": "get_supplements_for_biomarker",
        "description": "Supplements in Aviado's evidence graph that move a biomarker (e.g. 'LDL cholesterol', 'HbA1c'). Lists only registry-classified supplements: entities Aviado's identity vocabulary types as supplement, class or combination and marks recommendable; prescription drugs, research compounds, foods and unknown ids are excluded (use get_interventions_for_biomarker for all of them). Each hit has direction (up/down/bidirectional), prior_weight (evidence confidence 0-1, not effect size), graph_status (proven/suspected: internal eligibility labels, not clinical verification), has_verified_support / mixed_ev"
      },
      {
        "name": "get_interventions_for_biomarker",
        "description": "All mixed interventions in Aviado's evidence graph that move a biomarker, each labelled with intervention_type: supplement, food_substance, prescription_drug, research_compound, research_nootropic, medical_compound, form_dependent, not_recommendable or unknown (omitted on plain recommendable supplement rows; see coverage.row_defaults). Rows that are not supplements are context, never a recommendation, and carry no dose or pathway details. Rows carry up to 3 PubMed IDs (pmids; URL template in coverage); optional direction (up/down) filters. graph_status (proven/suspected) is an internal eligibi"
      },
      {
        "name": "get_biomarkers_for_supplement",
        "description": "Biomarkers a supplement moves in the Aviado app's evidence graph, one entry per biomarker (strongest edge), ordered by prior_weight (graph evidence weight 0-1, not a calibrated probability or effect size). Each entry has direction (up/down/bidirectional), goal/subgoal, has_verified_support / mixed_evidence, up to 3 PubMed IDs (pmids; URL template in coverage) with n_studies / rct_count, and dose (mean study dose {value, unit}: evidence context, not a dosing recommendation; see coverage.dose_note); null fields are omitted. Partial and non-exhaustive: a missing biomarker is not evidence of no ef"
      },
      {
        "name": "get_supplement_info",
        "description": "Overview of one supplement: description, typical uses, its top 5 biomarkers (with up to 3 PubMed citations each), goals, mechanism tags and cited safety contraindications. Contraindications include those recorded for what it contains (e.g. turmeric shows curcumin's), labelled with recorded_for; only cited rows are shown, so an empty list is not proof of safety. For all biomarkers use get_biomarkers_for_supplement; for drug interactions use get_supplement_interactions. The supplement may be a name or an Aviado canonical_id (from search_supplements or a candidates list). Check status first: need"
      },
      {
        "name": "get_supplement_interactions",
        "description": "Drug interactions come only from FDA drug labels and supplement-supplement ones only from Aviado's verified pairs; an empty result is not evidence that there is no interaction. Labels are thorough for some supplements and sparse or missing for most; read coverage.drug, and never treat an empty or short list as proof of safety. To check one medication pass drug (generic name; salt forms merged, so 'warfarin' matches 'warfarin sodium'; brand names are not matched). Also returns supplement-supplement interactions from Aviado's verified pairs only (synergies, antagonisms, absorption conflicts, tim"
      },
      {
        "name": "check_interaction",
        "description": "Point check of one pair, about 1-3 KB: a and b are each a supplement (name or canonical_id) or a medication (generic name; salt forms merged, brand names not matched). Supplement + supplement uses Aviado's verified pairs only (components and classes included); supplement + medication uses FDA drug-label rows only; two medications are not covered (no_match). Returns verdict {found, severity, direction, summary, recommendation, recorded_for, evidence_level, sources} and coverage (level none/sparse/moderate/broad). found:false is NOT a safety answer: an empty result is not evidence that there is "
      },
      {
        "name": "get_top_brands",
        "description": "Highest-quality brands for a supplement: one product per brand (its best), ranked by ProofMark, Aviado's product quality score (testing, ingredients, transparency, manufacturing, certifications). proofmark_100 is the 0-100 score (proofmark = proofmark_100/100) with a letter grade; proofmark_status is graded, below_coverage_floor (assessed but too little evidence to score; not a low score) or not_scored, and only graded products carry a score. Retired catalog products are excluded. match_basis says whether products matched the supplement identity or a text search (less precise; may include mult"
      },
      {
        "name": "search_supplements",
        "description": "Find the Aviado id for a supplement name, exactly (no fuzzy matching). Answers with matches[0] = the identity: vocabulary_exact, or user_intent for salt/form names ('magnesium citrate' -> magnesium, with a form note). A name Aviado does not hold may be answered with a naming-model suggestion (match_type naming_slm_suggestion, identity false); confirm it with the user before using its id. Family names ('lithium') and confirm-only names return needs_confirmation with the members or candidates in candidates. Each match carries entity_type, regulatory_status and recommendable. Use mode='supplement"
      },
      {
        "name": "search_conditions",
        "description": "Find the condition id for a health condition, symptom or goal. Answers when the name matches one condition clearly (data.conditions lists it first, with up to 4 related suggestions); a weak or ambiguous name (e.g. 'blood pressure': high vs low) returns needs_confirmation with the suggestions in candidates. Ask the user which one they mean and pass its id as condition to get_supplements_for_condition."
      },
      {
        "name": "get_supplements_for_condition",
        "description": "Supplements associated with a health condition or goal (e.g. 'insomnia', 'anxiety', 'joint pain'), strongest evidence first. evidence_basis direct rows come from studies of the condition; biomarker_proxy rows are inferred from the supplement's effect on the named proxy_biomarkers (each backed by an effect the Aviado app shows), are hypotheses, and are graded at most D. Only recommendable supplements are listed by default (rows carry intervention_type, entity_type, regulatory_status and recommendable only where they differ from coverage.row_defaults; null fields are omitted); include_non_supple"
      },
      {
        "name": "build_starter_stack",
        "description": "Starter stack (default 3, max 5) of recommendable supplements for a goal (e.g. 'insomnia', 'LDL cholesterol'), best-replicated app-visible evidence first; never Rx or research; biomarker-proxy rows are hypotheses. Not offered for cancer or other serious disease (no_match). One item per ingredient family, checked for supplement interactions with each other and with `exclude`, which also takes medications by generic name (checked against FDA labels: major picks dropped, moderate flagged; unlisted medications are NOT checked, so ask, then use get_supplement_interactions with `drug`). Each item: w"
      }
    ],
    "profiled_at": "2026-11-09T12:00:37.750Z"
  },
  "unreachable": false
}