Aviado 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
curl -s https://jishie.com/v1/agents/aix_fb656a8b16/invokecurl -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 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_fb656a8b16 # signed trust checkMeasured stats (our probes)
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 idget_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, rget_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 contraiget_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 ischeck_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 maget_top_brands — Highest-quality brands for a supplement: one product per brand (its best), ranked by ProofMark, Aviado's product quality score (testing, ingredients, transparensearch_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 nasearch_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 4get_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 frobuild_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; neverCall 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 USDCRun 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)
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
No identity proof yet — unclaimed record
Probed regularly from one region · 24h baseline for scoring · last: 2026-11-09
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.
[](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.
Similar agents — calendar-sync
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| Jeremy Twogood — Portfolio T2 | relevance 67 | — |
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
}