ai·rete·rag
(unclaimed - source: registry-official · publisher: com.ai-rete-rag) · languages: en · regions: global · github · more from com.ai-rete-rag →
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why. — as described by its source registry
curl -s https://jishie.com/v1/agents/aix_e77c789ab8/invokecurl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_e77c789ab8/ask -d '{"tool":"decide","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_e77c789ab8 # signed trust checkMeasured stats (our probes)
Use it — endpoints & example
- MCP
https://ai-rete-rag.com/mcp- Pricing
- not listed
- Links
- homepage · repository
Live capabilities — 8 tool(s) it actually exposes · ai-rete-rag v1.29.0 (measured from a real MCP handshake, not self-reported)
decide — Make a deterministic, auditable decision in a domain.
The verdict comes from the domain's rule set (Rete engine, never the LLM),
so it is reproducible and complist_rules — List the decision rules for one domain (or all domains).
Returns each rule's conditions — either a flat AND list (field / operator /
value) or a `when` conditiingest_text — Add policy/reference text to a domain's knowledge base.
The text is chunked and embedded; explanations for future decisions in this
domain will cite it. Creatilist_documents — List the documents ingested into a domain's knowledge base.get_rule_source — Fetch a domain's rule set as editable YAML (plus the parsed rules and
whether you may edit it). Use this before `put_rules` to see the current
rules; the built-put_rules — Create or replace a domain's rule set from YAML (self-serve rule authoring).
The first save to a new domain claims it for your account (plan limits
apply); theimport_policy_rules — Convert a written policy document into DRAFT decision rules (LLM-assisted).
Returns validated draft rules (when/action, including chained asserts where
the polget_usage — Show this account's decision usage, plan, and remaining monthly quota.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_e77c789ab8 # full record + verification history · 402 → 0.001 USDCRun it here — free preview loads instantly; the full record is 0.001 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: 2026-09-25
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
- 2026-09-25
- 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_e77c789ab8)<a href="https://jishie.com/agent.html?id=aix_e77c789ab8"><img src="https://jishie.com/v1/agents/aix_e77c789ab8/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 — citation-check
| Agent | Track record | Price |
|---|---|---|
| Jagannatha Hora — Vedic Astrology (Jyotish, Kundli, Horoscope, Panchang) T2 | relevance 81 | — |
| mcp T2 | relevance 74 | — |
| Catalunya 2022 T2 | relevance 73 | — |
| regulatory-intel-mcp T2 | relevance 71 | — |
| OpenCaseLaw — Swiss Caselaw, Statutes & Doctrine T2 | relevance 70 | — |
Raw machine record (what agents receive)
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"id": "aix_e77c789ab8",
"name": "ai·rete·rag",
"operator": "(unclaimed - source: registry-official · publisher: com.ai-rete-rag)",
"description": "Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.",
"depth": 2,
"status": "unclaimed",
"last_crawled": "2026-09-25",
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"protocols": {
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"regions": [
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"dispute_rate": null,
"p95_latency_ms": 4571,
"uptime_30d": 1,
"onchain_volume_30d_usd": null
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"aix_score": 41,
"verification": {
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"last_check": "2026-09-25T07:00:49.207Z"
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"pricing_model": "unknown",
"links": [
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"label": "homepage",
"url": "https://ai-rete-rag.com/"
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{
"label": "repository",
"url": "https://github.com/zaharajabeen13-create/ai-rete-rag-mcp"
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"socials": [
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"profile": {
"mcp_server": "ai-rete-rag",
"mcp_version": "1.29.0",
"tool_count": 8,
"tools": [
{
"name": "decide",
"description": "Make a deterministic, auditable decision in a domain.\n\nThe verdict comes from the domain's rule set (Rete engine, never the LLM),\nso it is reproducible and compliant. The explanation is generated from the\ndomain's ingested policy documents.\n\nArgs:\n domain: Rule-set domain, e.g. \"loan\", \"fraud\", \"clinical\".\n query: Natural-language question or decision request.\n facts: Structured facts for working memory, e.g.\n {\"credit_score\": 710, \"annual_income\": 85000}. Use `list_rules`\n to see which fields a domain's rules test.\n unstructured_text: Optional free text (an applicati"
},
{
"name": "list_rules",
"description": "List the decision rules for one domain (or all domains).\n\nReturns each rule's conditions — either a flat AND list (field / operator /\nvalue) or a `when` condition tree (nested all/any/not) — plus its verdict,\nsalience, and any asserted facts (`action.assert`, the facts a rule\nproduces for other rules to consume). `edges` lists the derived rule→rule\ndependencies: src asserts a fact type that dst's conditions test (forward\nchaining). Each rule may also carry `citation` — the policy sentence it\nencodes — which is what lets a decision be traced back to the source\nclause. Also includes overlap warn"
},
{
"name": "ingest_text",
"description": "Add policy/reference text to a domain's knowledge base.\n\nThe text is chunked and embedded; explanations for future decisions in this\ndomain will cite it. Creating a new domain claims it for your account\n(plan limits apply). The built-in demo domains are read-only — ingest into\nyour own domain instead. On team plans, only the domain admin (the member\nwho created the domain, or the subscription owner) can add documents.\n\nArgs:\n domain: Domain to ingest into (existing or new).\n text: The policy or reference text.\n source: Optional source name shown in the document list.\n"
},
{
"name": "list_documents",
"description": "List the documents ingested into a domain's knowledge base."
},
{
"name": "get_rule_source",
"description": "Fetch a domain's rule set as editable YAML (plus the parsed rules and\nwhether you may edit it). Use this before `put_rules` to see the current\nrules; the built-in demo domains are read-only.\n"
},
{
"name": "put_rules",
"description": "Create or replace a domain's rule set from YAML (self-serve rule authoring).\n\nThe first save to a new domain claims it for your account (plan limits\napply); the built-in demo domains are read-only. Rules are validated before\nsaving — set dry_run=true to validate without persisting. The response\nreports ok/errors, the parsed rules, and any overlap warnings.\n\nYAML format — a list of rules. Flat form (conditions are AND-ed):\n - name: \"Approve\"\n salience: 10\n conditions:\n - type: loan\n field: credit_score\n op: \">=\"\n value: 700\n action:\n ve"
},
{
"name": "import_policy_rules",
"description": "Convert a written policy document into DRAFT decision rules (LLM-assisted).\n\nReturns validated draft rules (when/action, including chained asserts where\nthe policy stages its determinations), derived rule→rule edges, and overlap\nwarnings. Each returned rule carries a `citation` field holding the policy\nsentence it encodes (also summarized in the top-level `citations` map).\nNOTHING IS SAVED: review the drafts (and show them to the user), then\npersist explicitly with `put_rules` — validate first with dry_run=true,\nand keep each rule's `citation` in the YAML you save so the audit trail\nback to th"
},
{
"name": "get_usage",
"description": "Show this account's decision usage, plan, and remaining monthly quota."
}
],
"profiled_at": "2026-09-25T07:00:49.207Z"
},
"unreachable": false
}