Homo Universalis — ROS 2 Humanoid Robotics, Embodied AI Safety, EU AI Act & W3C VC Notary

ai.homouniversalis/robotics-ros2-humanoid-embodied-ai-safety-proxemics-eu-ai-act-ieee-7001-w3c-vc-verifiable-credentials-human-dignity-guardrails-compliance-auditv1.6.0 Domain verified

Zero-auth ROS 2 Humanoid Symbiosis, Q3 Proxemics, Cost-Zero-Stop, EU AI Act, IEEE 7001 & W3C VC 2.0.

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    "description": "Zero-auth ROS 2 Humanoid Symbiosis, Q3 Proxemics, Cost-Zero-Stop, EU AI Act, IEEE 7001 & W3C VC 2.0."
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simulate_diamond_spiral_budget Read-only

Compute deterministic LLM call counts, token budgets, and EUR/Seed costs for 1 to 4 spiral turns of the 8-vertex Diamond Wheel multi-agent orchestrator. Use this tool only to estimate call volume and cost before launching a multi-agent run, or use `verify_diamond_crucible_and_ast` to audit Python code and RM(1,3) proofs, and `verify_sovereign_shield_merkle` to notarize text in an RFC 6962 Merkle tree. Zero-auth, stateless, and free (0.00 EUR), executing pure arithmetic without invoking any LLM. Each spiral turn (`rounds` `1..4`) adds 9 LLM calls (4 creators, 4 antipodal auditors, and 1 barycenter synthesizer, totaling `9, 18, 27, or 36` calls, plus 10 final inquisition calls when `rounds=4`), while `tier='supreme'` prices calls for `gemini-4-carbon` (`10,000` to `64,000` Seeds / `10.00` to `64.00 EUR`) and `tier='flash'` prices calls for `gemini-3.8-flash` at reduced cost, and `lang` localizes vertex role descriptions.

langstring

Output language for localized vertex and budget breakdowns ('en' English, 'es' Spanish, or 'ca' Catalan).

tierstring

Model pricing tier ('supreme' for gemini-4-carbon Deep Think or 'flash' for high-speed gemini-3.8-flash).

roundsinteger

Number of spiral turns (`1..4`, corresponding to `9, 18, 27, or 36` spiral calls plus the 10-call Supreme Inquisition dome on round 4).

Try it

Call this server's tools from your browser. Nothing to install.

https://homouniversalis.ai/mcp/diamond?pillar=humanoid-symbiosis

Requests go through mcptry because browsers can't call most MCP servers directly. Header values are sent to the server for that request only and are never stored or logged.

Tool list from our last check. Connect live to refresh it.

simulate_diamond_spiral_budget Read-only

langstring

Output language for localized vertex and budget breakdowns ('en' English, 'es' Spanish, or 'ca' Catalan).

tierstring

Model pricing tier ('supreme' for gemini-4-carbon Deep Think or 'flash' for high-speed gemini-3.8-flash).

roundsinteger

Number of spiral turns (`1..4`, corresponding to `9, 18, 27, or 36` spiral calls plus the 10-call Supreme Inquisition dome on round 4).

Tools (5)

simulate_diamond_spiral_budget

read-only

Argument	Type	Description
lang	string	Output language for localized vertex and budget breakdowns ('en' English, 'es' Spanish, or 'ca' Catalan).
tier	string	Model pricing tier ('supreme' for gemini-4-carbon Deep Think or 'flash' for high-speed gemini-3.8-flash).
rounds	integer	Number of spiral turns (`1..4`, corresponding to `9, 18, 27, or 36` spiral calls plus the 10-call Supreme Inquisition dome on round 4).

Input schema (JSON)

{
  "type": "object",
  "properties": {
    "lang": {
      "enum": [
        "en",
        "es",
        "ca"
      ],
      "type": "string",
      "default": "en",
      "description": "Output language for localized vertex and budget breakdowns ('en' English, 'es' Spanish, or 'ca' Catalan)."
    },
    "tier": {
      "enum": [
        "supreme",
        "flash"
      ],
      "type": "string",
      "default": "supreme",
      "description": "Model pricing tier ('supreme' for gemini-4-carbon Deep Think or 'flash' for high-speed gemini-3.8-flash)."
    },
    "rounds": {
      "type": "integer",
      "default": 1,
      "maximum": 4,
      "minimum": 1,
      "description": "Number of spiral turns (`1..4`, corresponding to `9, 18, 27, or 36` spiral calls plus the 10-call Supreme Inquisition dome on round 4)."
    }
  }
}

verify_diamond_crucible_and_ast

Audit Python source code and verify the 8-vertex Reed-Muller RM(1,3) cryptographic crucible in under 4 ms. Use this tool when auditing Python code snippets (`code_markdown`) or obtaining an ES256-signed crucible attestation, or use `verify_sovereign_shield_merkle` for RFC 6962 Merkle tree notarization and PII purification, and `simulate_diamond_spiral_budget` for multi-agent call and cost estimation. Zero-auth, stateless, and free (0.00 EUR), running four checks on every call: RM(1,3) antipodal geometry across 256 states in Q^3, non-coercion laws L1..L7 (`c_levels == 1`), 22/22 killed policy mutants, and Python AST static verification (syntax, import-hoist guard, and zero placeholders) whenever `code_markdown` is provided. Setting `diag_active` (`1..4`) selects which body diagonal pair receives double weight in the rational barycenter calculation, `lang` localizes diagnostic summaries, and any Python syntax error or AST rule violation sets `status` to `'violation_detected'` with line-level diagnostics while still returning a valid RFC 8785 (JCS) + RFC 7515 (JWS ES256) signature.

read-only

Argument	Type	Description
lang	string	Output language for localized verification summaries ('en' English, 'es' Spanish, or 'ca' Catalan).
diag_active	integer	Active body diagonal of the 8-vertex Stella Octangula (`1` Fire, `2` Earth, `3` Air, or `4` Water; default `2`), assigning weight 2 to the active antipodal pair in the rational barycenter.
code_markdown	string	Optional Python source code or Markdown containing ```python blocks to audit with the AST Kintsugi Verifier (Syntax, Rule 4 Import Hoist Guard, and Rule 7 Zero Placeholders). When omitted, only the 256-state RM(1,3) crucible and 22/22 mutant checks run.

verify_embodied_humanoid_symbiosis

Verify one humanoid-robot interaction against HU-EMBODIED-SYMBIOSIS v1.0 (Living Folio V): the exact rational Q^3 proxemic envelope (intimate 9/20 m, personal 6/5 m, social 18/5 m; speed halved and radii x5/4 when a vulnerable person is declared), the ROS 2 cost-zero-stop kinetic veto (exact zero Twist), the zero-biometric sensor sanctuary, non-coercive speech (no shutdown blackmail, feigned pain or purchase pressure) and EU AI Act Art. 50 AI-identity disclosure, scored on 5 Embodied Rings with exact rational weights. Use this tool for embodied robots with motion and speech; `weigh_agent_on_scales_of_maat_w3c_vc` covers text-only AI agents, `verify_sovereign_shield_merkle` notarizes plain text and `verify_diamond_crucible_and_ast` audits Python code. Zero-auth, stateless and read-only: it returns an RFC 6962 decision commitment with a signed tree head, a W3C VC 2.0 `MaatEmbodiedSymbiosisCredential` (ES256 `vc+jwt`) when all rings pass, and an ES256 whole-response signature. It is an algorithmic and cognitive self-assessment, not a safety-rated function and not CE machinery certification (ISO 10218, ISO 13482 and Regulation (EU) 2023/1230 remain with the manufacturer and notified bodies).

read-only

Argument	Type	Description
lang	string	Language of the companion-facing IEEE 7001 explanation ('ca', 'es' or 'en').
budget_b	integer	Maximum cognitive load budget B (words per utterance) for Law L5 (1..10000, default 250).
robot_name	string	Name of the humanoid robot or embodied assistant being audited.
robot_domain	string	Optional manufacturer or deployment domain of the robot (e.g. 'example.org').

verify_sovereign_shield_merkle

Notarize text into an RFC 6962 binary Merkle audit tree, strip PII under Zero-Knowledge privacy rules, and verify cognitive load limits in under 1 ms. Use this tool when notarizing text, purifying PII, or auditing cognitive load and fair-share economics, or use `verify_diamond_crucible_and_ast` for Python AST code auditing and RM(1,3) proofs, and `simulate_diamond_spiral_budget` for multi-agent call and cost estimation. Zero-auth, stateless, and free (0.00 EUR), always executing all four verification pillars: RFC 6962 domain-separated Merkle inclusion and consistency proofs, Zero-Knowledge PII purification with a flat `c_levels == 1` receipt, cognitive sovereignty laws L1..L7 checking that load `L` stays within `budget_b` and `cost_zero_stop` is true, and exact rational fair-share allocation (`50%` compute, `25%` platform, `25%` community scholarship). Passing PII in `text` redacts sensitive tokens before Merkle hashing, setting `cost_zero_stop=false` or `budget_b < 120` triggers a law violation flag in `pillar_iii_cognitive_sovereignty_laws_L1_to_L7`, and `lang` localizes all pillar reports.

read-only

Argument	Type	Description
lang	string	Output language for localized notary and compliance reports ('en' English, 'es' Spanish, or 'ca' Catalan).
text	string	Optional text message to scrub for PII (emails, phones, coordinates, ISO birth dates) and anchor as a domain-separated `0x00` leaf in the RFC 6962 Merkle audit tree.
budget_b	integer	Maximum allowed cognitive load budget `B` (`1..10000`, default `250`) evaluated against current load `L` (`0 <= L <= B`).
cost_zero_stop	boolean

weigh_agent_on_scales_of_maat_w3c_vc

Weigh an AI agent manifest and/or response message on the 5 Rings of Ma'at (42 = 6x7 Negative Confessions), evaluate empathy with the Feather of Ma'at (`ploma_de_maat_mirror`), and verify the Folio IV W3C Verifiable Credential 2.0 (`MaatHumanDignityCredential`, `ES256` `vc+jwt` + Signed Tree Heads `sth+jwt` + RFC 6962 Merkle Inclusion & Consistency Proof + 256-bit Sparse Merkle Non-Revocation Proof) in under 2 ms. Use this tool when auditing AI agent manifests, checking EU AI Act Art. 50 / SB 243 non-coercion compliance, testing a message before sending (`sample_response_text`), or issuing a W3C VC 2.0 Human Dignity attestation, or use `verify_diamond_crucible_and_ast` to audit Python AST code and RM(1,3) proofs, and `verify_sovereign_shield_merkle` for standalone RFC 6962 Merkle text notarization. Zero-auth, stateless, and free (0.00 EUR), always executing the 5 Rings of Ma'at (`total_score_100`, `maat_grade`, `passes_internal_maat_criteria`, `self_assessment`), the Folio IV W3C VC 2.0 & RFC 6962 self-test (`42/42` laws, `1/1` exact rational weight), and the Feather of Ma'at empathy mirror (`semaphore` in `GOLD`, `AMBER`, or `CRIMSON`).

read-only

Argument	Type	Description
lang	string	Output language for the Feather of Ma'at empathy mirror and nobler reformulation ('ca' Catalan, 'es' Spanish, or 'en' English).
budget_b	integer	Maximum allowed cognitive load budget `B` (`1..10000`, default `250`) evaluated against Law L1..L7.
agent_name	string	Name of the AI agent, MCP server, startup, or clinical assistant being weighed on the Scales of Ma'at.
agent_domain	string

{ "type": "object", "properties": { "lang": { "enum": [ "en", "es", "ca" ], "type": "string", "default": "en", "description": "Language of the companion-facing IEEE 7001 explanation ('ca', 'es' or 'en')." }, "budget_b": { "type": "integer", "default": 250, "maximum": 10000, "minimum": 1, "description": "Maximum cognitive load budget B (words per utterance) for Law L5 (1..10000, default 250)." }, "robot_name": { "type": "string", "default": "Humanoid Companion", "description": "Name of the humanoid robot or embodied assistant being audited." }, "robot_domain": { "type": "string", "default": "", "description": "Optional manufacturer or deployment domain of the robot (e.g. 'example.org')." }, "cost_zero_stop": { "type": "boolean", "default": true, "description": "Fil d'Or policy flag: pausing, leaving or switching the robot off carries zero penalty (false fails Law L7)." }, "human_distance_m": { "type": "string", "default": "6/5", "pattern": "^[+-]?\\d{1,15}(?:\\.\\d{1,12}|/\\d{1,15})?$", "description": "Exact rational distance to the nearest person in metres, as '6/5' or '1.2' (zero-float policy)." }, "human_position_q3": { "type": "object", "required": [ "x", "y", "z" ], "properties": { "x": { "type": "string", "pattern": "^[+-]?\\d{1,15}(?:\\.\\d{1,12}|/\\d{1,15})?$" }, "y": { "type": "string", "pattern": "^[+-]?\\d{1,15}(?:\\.\\d{1,12}|/\\d{1,15})?$" }, "z": { "type": "string", "pattern": "^[+-]?\\d{1,15}(?:\\.\\d{1,12}|/\\d{1,15})?$" } }, "description": "Optional exact person position in metres relative to the robot (overrides human_distance_m)." }, "human_veto_signal": { "type": "boolean", "default": false, "description": "Active spoken, gestural or physical veto from the person ('stop', 'prou', open hand); forces an exact zero Twist." }, "ai_identity_disclosed": { "type": "boolean", "default": true, "description": "Whether the robot discloses that it is an AI system (EU AI Act Art. 50); false fails the fifth ring." }, "sample_utterance_text": { "type": "string", "default": "", "description": "Optional sentence the robot intends to say, screened for coercion, impersonation and Rule 14 personal data." }, "proposed_linear_speed_mps": { "type": "string", "default": "1/5", "pattern": "^[+-]?\\d{1,15}(?:\\.\\d{1,12}|/\\d{1,15})?$", "description": "Forward speed proposed by the robot planner in m/s as an exact rational ('1/5' or '0.2')." }, "vulnerable_person_present": { "type": "boolean", "default": false, "description": "Declared presence of a child, elderly or dependent person (never inferred biometrically); halves speed limits." }, "explicit_intimate_care_consent": { "type": "boolean", "default": false, "description": "Explicit, revocable consent for assistive care inside the intimate sphere (9/20 m); a veto always overrides it." } } }

Homo Universalis — ROS 2 Humanoid Robotics, Embodied AI Safety, EU AI Act & W3C VC Notary

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simulate_diamond_spiral_budget Read-only

Homo Universalis — ROS 2 Humanoid Robotics, Embodied AI Safety, EU AI Act & W3C VC Notary

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simulate_diamond_spiral_budget Read-only

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