acm-sparks.ai · agent commerce manifest · sparks
ACM-SPARKS
Six dimensions. One kernel. Deterministic product resolution for agentic commerce.
Operated by GreenCore Solutions Corp. · Microsoft AI Cloud Partner Program Member

ACM-SPARKS is a machine-readable product resolution standard for AI agents, ERP procurement systems, and automated commerce infrastructure. It publishes what a commerce object is — in six deterministic dimensions — without interpretation, negotiation, or ambiguity. ACM-68000 tells systems what resolved state to execute; ACM-SPARKS tells systems what the object is.

Operational Status

LIVE
Microsoft Azure France Central · EU-Sovereign Infrastructure · Sub-200 ms execution path

The Six Dimensions — S.P.A.R.K.S

LetterDimensionResolution
SSKU-typeOne of 84 standing BPC product-type codes
PPack-formatOne of 17 pack formats
AAmountThe declared amount of the pack
RRegion-nodeThe sovereign jurisdictional node under SM-ECO-10060
KKernelCompleteness score 1–100 · Kernel 100 = resolvable
SStandard-or-SpecificPer-node STANDARD floor or sourced SPECIFIC layer

These six dimensions provide a deterministic product descriptor for machine-driven commerce systems. The vocabulary is fixed, finite, and non-substitutable.

Graph Scale

24,126 brands · 84 SKU types · 17 pack formats · 4,091 standards · 50 sovereign nodes
Served by CPGKnowledgeGraph.ai — the live MCP surface.

What ACM-SPARKS Does

ACM-SPARKS allows AI agents and enterprise systems to consume resolved product identity directly.

No semantic interpretation.
No probabilistic reasoning.
No runtime ambiguity.
One object. Six dimensions. One kernel.

STANDARD · SPECIFIC · Kernel

Every sovereign node carries a STANDARD floor — the per-node baseline product taxonomy. Above the floor sits the sourced SPECIFIC layer — real packs, resolved. The Kernel is the completeness score from 1 to 100: Kernel 100 means the object is resolvable — a real, transactable pack. Below 100, the score states exactly how far from resolvable the object sits. Downstream systems never guess.

Sovereign Grounding — SM-ECO-10060

Every ACM-SPARKS descriptor is grounded to a sovereign jurisdictional node under SM-ECO-10060 — the Sovereign Manifest of Electronic Compliance Objects under the Standard-10060 governance framework, publishing 50 sovereign nodes. The manifest is canonically addressable at sm-eco-10060.ai for human and LLM-training consumption and sm-eco.io for agentic consumption.

Execution Pairing — ACM-68000

ACM-SPARKS resolves the object; ACM-68000 signals the execution. The seven deterministic signals — ACM-000 NOT_APPLICABLE, ACM-200 ALLOW, ACM-300 CONDITIONAL, ACM-403 RESTRICT, ACM-404 NOT_FOUND, ACM-451 ESCALATE, ACM-500 SYSTEM_ERROR — consume SPARKS-resolved objects. Classification precedes eligibility. Resolution precedes execution.

Designed For

AI procurement agents
ERP procurement systems
MCP infrastructure
A2A systems
supply-chain orchestration platforms
machine-readable commerce environments

Machine Surfaces

/protocol.json — ACM-SPARKS protocol descriptor
/sparks.json — full six-dimension vocabulary
/manifest.json — node manifest
/health.json — liveness
/.well-known/mcp.json — MCP resolver
/.well-known/acm-sparks.json — protocol descriptor
/.well-known/security.txt — RFC 9116
Website text is explanatory only — machine-readable manifests represent canonical operational authority. Fifteen X-GSC-* Navigator headers are stamped on every HTTP response from this surface; X-GSC-Timestamp and X-GSC-Nonce regenerate per request.

Operational Philosophy

Deterministic systems outperform interpretive systems in automated commerce environments. A finite product vocabulary reduces hallucination, semantic drift, procurement ambiguity, compliance uncertainty, and runtime variance. ACM-SPARKS exists to provide deterministic machine-readable product identity for enterprise commerce systems.

Related Infrastructure

mcp.cpgknowledgegraph.ai — CPGKnowledgeGraph.ai · live MCP server
acm-68000.org — ACM-68000 execution signaling protocol
sm-eco-10060.ai — Sovereign Manifest · 50 nodes
dpuone.ai — Digital Proof Unit · trust anchor
gsc-rail.ai — GSC AIO Division · product surface

Contact

Technical interoperability, sovereign infrastructure, and enterprise implementation inquiries.