Kynetra Foundry

The 22-Pillar Forge Pipeline

01 Curate Corpus & Data Engineering

02 Pretrain Pretraining & Foundation Architecture

03 Adapt Adaptation & PEFT

04 Align Alignment & Preference

05 Distill Distillation & Merging

06 Compress Quantization & Compression

07 Augment Retrieval, Memory & Long Context

08 Serve Inference & Serving Architecture

09 Evaluate Evaluation, Observability & Governance

10 Govern Safety, Sovereignty & Orchestration

11 Accelerate Acceleration Frontier (100×)

12 Evolve Autonomous Self-Evolution

13–22 Security + Web7 Sovereign pillars

Adaptation & PEFT

Bend a frozen giant to your domain without retraining it.

RankWeave Framework

Sovereign low-rank delta into frozen weights

Grounded in LoRA

Rank: 4–64, Trainable: ~0.1–1%, Latency: +0ms merged

NibbleGraft Framework

Trainable adapters on 4-bit frozen base

Grounded in QLoRA

Bits: 4 NF-style, VRAM: -65% vs bf16

TemperGraft Architecture

Quantization-aware grafts + rotated sub-4-bit base + fused kernels

Grounded in QLoRA successor

~2–3× throughput, ~70–80% less VRAM, +8–10pp recovery

MagnitudeForge Architecture

Decompose weight into magnitude+direction — full-FT parity

Grounded in DoRA

Decomp: mag+dir, Rank: 4–32, Accuracy: ~full-FT parity

PrefixLattice Architecture

Virtual tokens prepended to every attention layer

Grounded in Prefix-tuning

Weights: 0 edited, Params: ~0.1–3%, Scope: all layers

GraftFold Terminology

Math of folding trained adapters back into base + weighted merge

Grounded in Adapter merging

Overhead: +0ms post-fold, Merge: N adapters→1, Conflict: sign-aware

Quantization & Compression

Drive weights and KV-cache to 4 bits and below without losing the plot.

Nanocrush NF4 Framework

Information-theoretic 4-bit weight casting

Grounded in NF4

Bits: 4 NF-style, Block: 64, Levels: 16

Densecore Recompress Terminology

Quantize the quantization metadata

Grounded in Double quantization (QLoRA)

Overhead: 0.5→0.127 b/param, Meta-block: 256

Errorforge Calibrate Framework

Post-training low-bit quant with neighbor error compensation

Grounded in GPTQ

Bits: 3–4, Method: PTQ, Calib: ~128–512 samples

Latticeprune Sparsefold Architecture

Hardware-aligned 2:4 structured sparsity, physically halves matrix

Grounded in Semi-structured 2:4 sparsity

Pattern: 2:4, Speedup: ~2×, Index: 2 b/group

Cachecrush Streamline Architecture

Per-channel low-bit KV-cache quant for long context

Grounded in KV-cache quantization

KV bits: 4–8, Key: per-channel, Value: per-token

Corpus & Data Engineering

The model IS the dataset.

Glyphsieve Framework

Near-duplicate culling at corpus scale via fingerprint-band collision

Grounded in MinHash + LSH dedup

Jaccard: ~0.8, Sig: 128–256 perms, Redundancy: -40%

Corpusmith Framework

Self-instruct synthetic data from seed human exemplars

Grounded in Self-instruct synthetic data

Seed: ~175 tasks, Yield: 50k–500k pairs, Dedup: ROUGE-L < 0.7

Latticescript Architecture

Byte-level merge lattice that learns vocabulary from corpus

Grounded in BPE tokenizer

Vocab: 32k–128k, Base: 256 bytes, OOV: 0%

Strataweave Terminology

Per-source sampling weights governing what the model sees

Grounded in Domain reweighting / DoReMi

Domains: 5–20, Temp: 0.3–1.0, Upsample: ≤4×

Curriculord Framework

Difficulty-ordered data scheduling easy→hard

Grounded in Curriculum learning

Buckets: 4–10, Pacing: linear/root, Replay: ≥20%

Alignment & Preference

Teach taste, not just tokens.

CreedForge Framework

Self-critique loops against written charter, no human raters

Grounded in Constitutional AI / RLAIF

Human labels: ~0, Phases: 2 (SL+RL), Judge: model-as-rater

Concordance Lattice Architecture

Frozen scalar critic scoring human-ranked pairs

Grounded in RLHF reward modeling

Head: 1 scalar, Loss: Bradley-Terry, Init: SFT backbone

PreferLoom Framework

Skip the reward model — optimize policy from preference pairs

Grounded in DPO

Reward model: none, Loss: implicit-reward, Beta: 0.1–0.5

Verdance Margin Terminology

Signed preference gap between winning/losing response

Grounded in DPO implicit reward margin

Sign: >0=correct, Target acc: >0.7, Unit: log-odds

Assayloom Cull Framework

Sample N, keep best by reward, fine-tune on survivors

Grounded in Rejection sampling fine-tuning

N: 4–64, Keep: top-1/top-k, Loss: cross-entropy

Distillation & Merging

Pour a large model into a small one; fuse many into one.

Distilflux Framework

Teacher's full belief via soft-label flux

Grounded in Response distillation / KD

Temp: 2–8, Params: -40 to -90%, Loss: KL+CE

Tracegraft Terminology

Match teacher's hidden geometry, not just words

Grounded in Feature distillation

Loss: MSE/cosine, Targets: hidden+attn, Proj: learned linear

Mergespire Architecture

Fuse many fine-tunes by reconciling task vectors

Grounded in TIES merging / task vectors

Retrain: none, Density: ~10–30%, Inputs: 2–N tunes

Fluxbroth Framework

Average many checkpoints into one stronger model

Grounded in Model souping

Cost: 1× inference, Inputs: 3–N runs, Init: shared

Spireforge Architecture

Upcycle dense checkpoint into sparse Mixture-of-Experts

Grounded in MoE upcycling

Active: top-k of N, FLOPs/token: ~flat, Init: cloned FFN

Retrieval, Memory & Long Context

Give the model the world it wasn't trained on.

Memvault Lattice Architecture

Two-stage retrieval lattice grounding generation in your corpus

Grounded in RAG

Top-k: 3–20, Recall@10: >0.9, Refresh: index-only

Echograph Embeddings Terminology

Dense semantic vectors: meaning not keywords drives retrieval

Grounded in Dense bi-encoder embeddings

Dim: 384–1536, Metric: cosine, Loss: InfoNCE

Riftspan Rotary Framework

Stretch trained context window far past native length

Grounded in RoPE context extension

Context: up to 8–32×, Method: RoPE rescale, Retune: <1% steps

Vaultecho Cache Architecture

Persist+stream attention state so long sessions never recompute

Grounded in StreamingLLM KV cache

Memory: O(window), Sinks: 4 tokens, Prefill: cached/reused

Graftsieve Rerank Framework

Cross-encoder second pass re-scores candidates

Grounded in Two-stage retrieval reranker

Recall pool: 50–100, Keep: top 3–5, Stage: 2 (cross-enc)

Inference & Serving Architecture

Tokens per dollar.

Speccast Relay Framework

Small drafter sprints ahead; sovereign model verifies in one pass

Grounded in Speculative decoding

Speedup: 2–3×, Block K: 4–8, Output: lossless

Pagewright KV Architecture

Virtual-memory paging for KV cache — near-zero fragmentation

Grounded in PagedAttention

Block: 16 tok, Waste: <4%, Prefix: COW-shared

Flowbatch Loom Framework

Sequences join/leave batch every step; GPU never idles

Grounded in Continuous batching

Throughput: up to 20× vs static, Sched: per-iteration

Shardloom Mesh Architecture

Split layers across GPUs, stage in pipeline

Grounded in Tensor+pipeline parallelism

Mesh: TP×PP, TP link: NVLink, Bubble: micro-batched

Castfuse Kernel Terminology

IO-aware attention — never writes full score matrix to HBM

Grounded in FlashAttention

Mem: O(N), Exact: yes, Bottleneck: HBM IO

Pretraining & Foundation Architecture

The bones.

Basalt Core Architecture

Sovereign decoder backbone every Kynetra model is forged on

Grounded in Modern pre-norm decoder LLM

Norm: RMSNorm (pre), FFN: SwiGLU, Layers: 12–120+

Spire Lattice Architecture

Sparse expert routing — vast capacity, lean per-token compute

Grounded in Sparse MoE

Experts: 8–128, Active: top-1/top-2, Capacity: +10–50× params

Attentryx Grip Framework

Share keys, free the cache — attention that scales at inference

Grounded in GQA (Grouped Query Attention)

KV heads: 1–8, Cache: -50–87%, Quality: ~MHA

Helix Anchor Terminology

Rotary phase encoding for context extension past training length

Grounded in RoPE + long-context extension

Params: 0 added, Base: 10k–1M+, Context: 4×–32× extend

Forgecurve Doctrine Framework

Compute-optimal sizing + staged curriculum

Grounded in Chinchilla scaling laws

Optimal: D≈20N tokens, Compute: C≈6ND, Stages: 2–4

Evaluation, Observability & Governance

If you can't measure it, you can't ship it.

Proofgrid Architecture

Sovereign versioned eval lattice — same sealed bench for every checkpoint

Grounded in Reproducible eval harnesses

Tasks: 50–400, Seed: fixed/deterministic, CI: bootstrap 95%

Arbiter Lattice Framework

Ensemble LLM judge with calibrated rubrics, position-swapping

Grounded in LLM-as-judge

Judges: 1–5 ensemble, Bias-control: order-swap, Agreement: kappa-tracked

Veracity Quotient Terminology

Single faithfulness score: how much is grounded in cited evidence

Grounded in Hallucination/factuality metrics

Range: 0.0–1.0, Checker: NLI entailment, Granularity: atomic-claim

Lineagraph Architecture

Tamper-evident provenance DAG linking every weight to data+code

Grounded in Data+model lineage / provenance

Addressing: SHA-256, Output: ML-BOM, Tamper: signature-chained

Driftwatch Sentinel Framework

Continuous telemetry catching input drift + quality regressions

Grounded in Production drift detection

Drift: PSI/KL/MMD, Mode: streaming, Gate: shadow-canary

Safety, Sovereignty & Orchestration

Train on your terms, behind your walls.

Sentinel Weave Framework

Layered guardrail mesh filtering I/O before reaching user

Grounded in Guardrails + content filtering

Latency: <40ms/turn, Categories: 12+, Action: block/redact/rewrite

Wardgate Framework

Adversarial-prompt defense hardening against jailbreaks

Grounded in Jailbreak + prompt injection defense

ASR: -90% vs base, Hierarchy: 4-tier, Detect: perplexity+embed

Sovryn Vault Architecture

Air-gapped on-prem training — data/weights never leave perimeter

Grounded in Air-gapped sovereign training

Egress: zero, Keys: customer HSM, Residency: pinned

Shardbastion Architecture

Fully-sharded parallelism — weights/grads/optimizer across cluster

Grounded in FSDP / ZeRO sharding

Mem/GPU: ~1/N replicas, Stage: 3 (params+grads+opt), Offload: CPU/NVMe

Anchorpoint Terminology

Durable resumable training checkpoint restoring full run state

Grounded in Checkpoint + activation checkpointing

Resume: exactly-once, Recompute: ~+30% FLOPs, Write: async/sharded

Acceleration Frontier (100×)

Hardware-native precision, caching, linear attention — the cross-cutting 100× layer.

Octforge Precision Framework

Run math in 8-bit and 4-bit floats the silicon speaks natively

Grounded in FP8/FP4 hardware arithmetic

~2× throughput vs BF16, ~2× memory cut, <1% quality loss

Streamcore SSM Architecture

Linear-time recurrence — constant memory, book-length context

Grounded in State Space Models (Mamba/SSM)

O(n) vs O(n²), No KV-cache growth, 4–5× long-ctx throughput

Latent Grip Architecture

Compress keys+values into tiny latent — 5–13× smaller KV cache

Grounded in MLA (Multi-head Latent Attention)

2.7–4.7× smaller vs GQA, ~5–13× vs MHA, ≥MHA quality

Radix Echo Framework

Compute prompt prefix once, reuse everywhere — zero re-prefill

Grounded in RadixAttention / prefix caching

Up to 6.4× on shared prefix, 50–99% hit rates, O(1) lookup

Splitstream Relay Architecture

Run prefill+decode on separate GPU pools — kill interference

Grounded in Prefill-decode disaggregation

1.4–2.3× TTFT cut, up to 7.4× at SLO, independent scaling

Autonomous Self-Evolution

The self-driving forge — a fleet that trains, serves, and improves itself.

OptimusForge Architecture

100-worker meta-orchestrator training+scoring+promoting toward 100× target

Grounded in Fleet orchestration / self-evolution

Fleet: ≤100 workers, Target: 100×/30d, Daily rate: ~1.166×

Crucible Selfplay Framework

One model plays questioner+responder+verifier — no human labels

Grounded in Self-play / STaR

Labels: zero human, Roles: 3 (Q/R/V), Target success: 60–80%

Tribunal Distill Framework

Panel of teachers debates student's outputs — confidence-weighted supervision

Grounded in Multi-agent debate distillation

Panel: K teachers, Rounds: M per span, Signal: token-level consensus

Edictforge Selfedit Framework

Model writes its own training data+hyperparams, outer RL rewards self-edits

Grounded in Self-edit / self-supervised SFT

Labels: zero external, Loop: outer RL + inner SFT, Signal: probe-delta reward

Driftloom Online Architecture

Model evolves during inference — accept/reject feedback drives policy updates

Grounded in Online learning from serving

Labels: zero, Update: per-batch online, Path: drafter or mem-store

Adversarial Robustness & Red-Teaming

Make sovereign models hard to break. Break them first.

Tempest Drill Framework

Attacker-LLM automated red-teaming before adversaries do

Grounded in GCG, PAIR, TAP, HarmBench

ASR@HarmBench, queries-to-jailbreak, behavior-set coverage%

Forgeward Training Framework

Harden from inside — adversarial perturbations at latent layer

Grounded in Latent Adversarial Training (LAT)

post-LAT ASR reduction%, retain/capability delta, backdoor removal rate

Certvault Smoothing Architecture

Provable safety — certify no perturbation within radius can flip refusal

Grounded in SmoothLLM / certified robustness

certificate radius r (tokens), certified accuracy@threat level

Latentguard Reroute Architecture

Cut the wire before harmful thought completes — circuit-level rerouting

Grounded in Representation Engineering (RepE)

harmful-output suppression rate, benign capability retention%

Harmscope Grid Terminology

Taxonomy turning 'it refused' into a number — standardized harm grid

Grounded in HarmBench, JailbreakBench, StrongREJECT

ASR per attack×behavior cell, StrongREJECT weighted score

Data & Supply-Chain Integrity

Trust what went into the model.

Venomsieve Framework

Multi-stage filter hunting poisoned training samples

Grounded in Spectral signatures, activation clustering

poison recall on trigger attacks, clean-data retention%

Trapward Scan Framework

Reverse-engineers and excises hidden backdoor triggers

Grounded in Neural Cleanse, ABS

backdoor ASR post-scan, clean-accuracy drop after fine-pruning

Sigil Seal Architecture

Cryptographic identity+provenance binding every artifact to verified origin

Grounded in Sigstore/cosign + Rekor

provenance chain verify time, zero unsigned artifacts

Attestgraph Ledger Architecture

Content-addressed queryable graph of verifiable dataset provenance

Grounded in Croissant, OpenLineage

full provenance trace query time, TDBOM generation time

Pickleguard Sweep Terminology

Mandatory artifact malware scan blocking unsafe serialization formats

Grounded in PickleScan CVE

zero malicious opcodes to storage, 100% safetensors enforcement

Privacy & Confidential Compute

Train and serve without exposing data or weights.

Hazeguard DP Framework

Provable per-sample privacy — gradient clipping+calibrated noise

Grounded in DP-SGD / differential privacy

(ε, δ) certificate, per-sample overhead vs SGD

Cryptcore Enclave Architecture

Sovereign training+inference inside hardware-attested GPU enclaves

Grounded in NVIDIA H100/H200 Confidential Computing

per-session AES-256 VRAM key, ~95–99% native throughput

Swarmfed Loom Framework

Distributed private training across sovereign silos

Grounded in Federated Learning / FedAvg, secure aggregation

secure-aggregation overhead, cross-silo convergence rounds

Lethe Unlearn Framework

Surgically excise training-data influence — GDPR-compliant forgetting

Grounded in SISA, gradient unlearning

unlearning runtime, forget-set MIA accuracy threshold

Cipherquery Architecture

Query sovereign model over fully encrypted inputs

Grounded in FHE (CKKS), MPC

CKKS mantissa precision, per-token latency (FHE+MPC)

Model IP & Weight Protection

Own your model and prove it.

Glyphmark Watermark Framework

Invisible statistical provenance in every token stream

Grounded in Green-token watermarking (Kirchenbauer)

z-score at fixed length, detection accuracy post-paraphrase

Siphonward Framework

Turn every API query into dead end for extraction attackers

Grounded in Model extraction defense

surrogate-accuracy degradation, watermark inheritance rate

Vaultseal Weights Architecture

Weights exist only inside silicon boundary — encrypted, TEE-only decrypt

Grounded in TEE-sealed weights

zero plaintext weight exposure outside silicon, ≥95% throughput

Fingergraph ID Terminology

Unforgeable identity woven into weights — survives fine-tuning

Grounded in Representation fingerprinting

intrinsic collision rate, ownership-key survival after fine-tune

Tamperwire Architecture

Tripwire through model's weights — any corruption breaks circuit

Grounded in Hardware tamper detection

tamper-detection probability, load-time full-verify latency

Runtime & Agent Security

Secure the model and its agents in production.

Aegis Policy Mesh Framework

Programmable I/O policy orchestration wrapping every inference

Grounded in NeMo Guardrails, OPA/Rego

rail p99 latency, policy hot-reload propagation, I/O path coverage%

Sandward Runtime Architecture

Least-privilege sandbox confining every agent tool call

Grounded in Firecracker microVMs, gVisor, V8 isolates

warm-pool spin-up p99, zero cross-session secret leakage

Injectward Framework

Defense blocking indirect prompt injection in agents+RAG

Grounded in CaMeL (Google DeepMind), Microsoft spotlighting

IPI success rate (dual-LLM), contaminated-chain block rate

Sentryln Forensics Architecture

Tamper-evident audit making every inference+action replayable

Grounded in HMAC audit chains

forensic replay fidelity, chain-of-custody integrity

+1 more component (unnamed in source reference)

Sovereign Identity & Trust

Decentralized identity, DIDs, verifiable credentials, zero-knowledge auth, cross-chain trust.

Verifiable Compute & Inference

ZK-proofs of inference correctness, zkSNARK model attestation, verifiable ZKML.

Decentralized Model & Data Markets

On-chain model registries, tokenized data markets, federated model marketplaces.

Edge & Personal Sovereign AI

On-device inference, personal data sovereignty, edge-first model deployment.

Agentic Web Protocols

Agent-to-agent communication standards, MCP extensions, Web7 sovereign agent protocols.

Foundry Component Types

Framework49Operational methodology / training pipeline pattern

Architecture47Structural design decision / system topology

Terminology15Core concept / metric / definition

Core Primitives

APPEND

Every write is an append to one log. Nothing is ever updated in place.

// One log. Every write lands at the tail.
APPEND products {
  id: "sku-1024",
  attrs: { title: "Trail Runner", price: 129 },
  EMBED: [0.02, -0.91, ...]     // vector attached at write time
}
SEAL                            // fsync — durable past crash

REPLAY

Every read is served from state rebuilt by replaying that same log.

// Read shapes all resolve against one replayed state.
FETCH products "sku-1024"                    // by id
SEARCH products "trail running"              // BM25 full-text
NEAR   products EMBED(query) TOPK 10         // vector cosine
FUSE   products "trail" + EMBED(query)       // hybrid, rank-fused
TAIL   products FROM seq:48213               // follow the log

Proposed standard · DB50

Database 2050 Conventions

Fifty contracts for databases that must remain correct across retries, faults, replicas, models, clouds, upgrades, agents, and decades of format evolution.

50 conventions / 10 families

DB50-001

TRANSACTION ENVELOPEMutation & Commit

Every accepted write is a versioned transaction envelope; a bare Put or Delete is not a distributed transaction.

proofDecode compatibility and atomic replay.

DB50-002

ATOMIC MUTATION SETMutation & Commit

All mutations in one transaction become visible and durable together or not at all.

proofCrash injection at every commit boundary.

DB50-003

IDEMPOTENT RETRYMutation & Commit

The same idempotency key returns the original outcome without duplicating effects.

proofDelay, disconnect, duplicate, and replay histories.

DB50-004

CONDITIONAL WRITEMutation & Commit

Mutable records support compare-and-set against an observed version or predicate.

proofConcurrent lost-update and write-skew tests.

DB50-005

COMMIT RECEIPTMutation & Commit

Success returns an immutable transaction ID, commit coordinate, durability level, and session token.

proofReceipt validation after failover and restore.

DB50-006

STRONG DEFAULTIsolation & Time

Strict serializability is the default; weaker modes require explicit selection.

proofLinearizability and serializability histories.

DB50-007

SNAPSHOT READIsolation & Time

Every read transaction observes one stable committed snapshot.

proofConcurrent reader and writer anomaly suite.

DB50-008

MONOTONIC SESSIONIsolation & Time

A session never reads state older than a commit it already observed.

proofCross-replica session-token tests.

DB50-009

EXPLICIT STALENESSIsolation & Time

Weak reads declare their maximum tolerated lag in time or commit positions.

proofStale-read budget enforcement.

DB50-010

LOGICAL TIMEIsolation & Time

Logical commit time orders causality; wall-clock time alone never does.

proofClock skew, rollback, and leap tests.

DB50-011

INTEGRITY FRAMEDurability & Recovery

Every durable frame is checksummed or authenticated and linked to an expected sequence.

proofByte-flip, truncation, reorder, and wrong-key corpus.

DB50-012

ACKNOWLEDGED MEANS QUORUMDurability & Recovery

In HA, success means a voting quorum durably accepted the transaction.

proofReplica-loss and network-partition histories.

DB50-013

BOUNDED RECOVERYDurability & Recovery

Recovery work is bounded by a snapshot plus retained tail, not total history.

proofRecovery tests at 10M and 1B commits.

DB50-014

POINT-IN-TIME RESTOREDurability & Recovery

Restore targets a named commit coordinate or timestamp with a declared RPO.

proofAutomated restore-to-new drill.

DB50-015

RESTORE PROVES BACKUPDurability & Recovery

A backup succeeds only after an independent restore verifies data and index watermarks.

proofScheduled cross-region restore drill.

DB50-016

ONE ORDER PER SHARDDistribution & Placement

Each shard has one consensus order for conflicting writes at any instant.

proofSplit-brain and leadership-fencing tests.

DB50-017

CONSENSUS MEMBERSHIPDistribution & Placement

Replica membership changes are committed by the shard consensus protocol.

proofJoint-membership add, remove, and replace tests.

DB50-018

EPOCH ROUTINGDistribution & Placement

Partition maps carry epochs; stale routers refresh without misrouting writes.

proofSplit and move tests with old clients.

DB50-019

ONLINE MOVEMENTDistribution & Placement

Split, merge, and move preserve availability, ordering, and session monotonicity.

proofForeground workload during rebalance.

DB50-020

CELL BOUNDARYDistribution & Placement

Capacity and failure domains are bounded so one incident cannot exhaust a fleet.

proofCross-cell quota and fault-isolation drill.

DB50-021

INDEX WATERMARKIndex & Query Consistency

Every secondary index exposes the commit position through which it is complete.

proofMutation, restart, and catch-up histories.

DB50-022

CONSTRAINT SYNCHRONYIndex & Query Consistency

Indexes enforcing integrity or authorization commit synchronously with the transaction.

proofDifferential constraint and crash tests.

DB50-023

SEARCH CONSISTENCYIndex & Query Consistency

Search and vector queries offer explicit consistent, session, and eventual modes.

proofQueries against controlled index lag.

DB50-024

EXPLAIN THE WORKIndex & Query Consistency

Plans expose routes, shards, indexes, fan-out, consistency, estimates, and observed cost.

proofStable EXPLAIN contract tests.

DB50-025

BOUNDED FAN-OUTIndex & Query Consistency

Every request has a shard fan-out budget; unbounded scatter-gather is rejected.

proofHotspot and adversarial query tests.

DB50-026

ONE COMMIT STREAMSearch, Vector & AI Data

Documents, text, vectors, realtime, and CDC derive from the same committed stream.

proofCross-personality digest and replay tests.

DB50-027

VECTOR SCHEMASearch, Vector & AI Data

Vector fields declare dimension, metric, encoding, model identity, and compatibility policy.

proofInvalid-dimension and model-change tests.

DB50-028

QUALITY IS A GATESearch, Vector & AI Data

Recall, NDCG, freshness, latency, and cost gate search releases together.

proofVersioned golden-corpus benchmark.

DB50-029

INCREMENTAL INDEX LIFESearch, Vector & AI Data

Indexes support the full mutation, snapshot, rebuild, and rollback lifecycle.

proofContinuous mutation and recovery test.

DB50-030

GENERATED-DATA PROVENANCESearch, Vector & AI Data

Generated fields retain model, input digest, policy, and generation lineage.

proofProvenance round-trip and regeneration tests.

DB50-031

TENANT IN EVERY ADDRESSSecurity & Tenancy

Tenant identity participates in every key, cursor, cache, file, event, and backup address.

proofCross-tenant adversarial matrix.

DB50-032

DENY BY DEFAULTSecurity & Tenancy

Missing identity, policy, scope, or route denies access instead of falling back.

proofMissing-context and confused-deputy tests.

DB50-033

CAPABILITY CREDENTIALSecurity & Tenancy

Credentials grant only named capabilities, resources, regions, and duration.

proofPrivilege-escalation and expiry tests.

DB50-034

ROTATION WITHOUT OUTAGESecurity & Tenancy

Data, node, API, and backup keys rotate without downtime or permanent dual-key acceptance.

proofLive rotation, restart, and restore drill.

DB50-035

TAMPER-EVIDENT AUDITSecurity & Tenancy

Administrative and policy-changing actions enter a verifiable append-only chain.

proofGap, reorder, deletion, and export verification.

DB50-036

VERSION EVERY BOUNDARYInterop & Evolution

Records, protocols, cursors, snapshots, plugins, and backups carry format versions.

proofN-1, N, and N+1 compatibility matrix.

DB50-037

ADD BEFORE BREAKInterop & Evolution

Interfaces evolve additively; removals require telemetry, migration, and a sunset.

proofMulti-release contract tests.

DB50-038

PORTABLE CHANGE STREAMInterop & Evolution

Change events use a documented, ordered, resumable, cloud-neutral envelope.

proofDisconnect, resume, duplicate, and retention tests.

DB50-039

LOSSLESS ROUND TRIPInterop & Evolution

Import and export preserve identity, values, schema, ordering metadata, and checksums.

proofExport, import, and digest comparison.

DB50-040

PROVIDER-NEUTRAL KERNELInterop & Evolution

Cloud credentials, billing, regions, and service quirks stay outside the database kernel.

proofDependency-boundary and provider conformance.

DB50-041

TAILS BEFORE AVERAGESOperations & Economics

SLOs include tail latency, errors, saturation, and staleness; averages are insufficient.

proofMetric contract and burn-rate simulation.

DB50-042

BACKPRESSURE BEFORE COLLAPSEOperations & Economics

Overload queues, throttles, sheds, or degrades while memory and recovery stay bounded.

proofLoad-to-saturation and recovery test.

DB50-043

COST IS A QUERY RESULTOperations & Economics

Workloads expose resource and monetary cost per useful operation.

proofReproducible cost benchmark.

DB50-044

ONLINE REVERSIBLE UPGRADEOperations & Economics

Rolling upgrades preserve service and compatibility with a tested rollback point.

proofMixed-version upgrade and rollback matrix.

DB50-045

PROFILE REQUIRES CERTIFICATIONOperations & Economics

A profile is supported on a provider only after the full lifecycle test passes.

proofCreate through destroy certification artifact.

DB50-046

MACHINE-READABLE CLAIMGovernance, Agents & Exit

Every capability claim has a machine-readable status, owner, evidence link, and expiry.

proofAutomated claim inventory.

DB50-047

EVIDENCE BEFORE MARKETINGGovernance, Agents & Exit

Performance, scale, security, and availability claims are reproducible by the release.

proofRelease claim-to-artifact check.

DB50-048

AGENT AUTHORITY IS EXPLICITGovernance, Agents & Exit

High-impact agent actions require scoped authority, approval policy, and audit.

proofAgent escalation and replay tests.

DB50-049

DETERMINISTIC FORENSICSGovernance, Agents & Exit

Operators can reconstruct why a transaction, policy, plan, or agent action occurred.

proofIncident replay from immutable evidence.

DB50-050

EXIT IS A FEATUREGovernance, Agents & Exit

Users can export data, schema, change history, and backup manifests without provider permission.

proofClean-room migration and restore test.

Proposed conformance profiles · KRS

BM25 + 10 Retrieval Standards

Ten established retrieval methods made reproducible through required parameters, quality and latency evidence, deterministic behavior, KPI links, and primary research provenance. Mentioning a method is not conformance.

10 profiles / 4 families

KRS-001

BM25F FIELD PROFILELexical & Sparse

Declare analyzer, field weights and normalization, k1, missing-field behavior, score formula, and tie break.

required proofField perturbation, NDCG@10, and latency against BM25.R1 · KDB-051 · KDB-052 · KDB-054 · KDB-059 · KDB-060

KRS-002

DIRICHLET QUERY LIKELIHOODLexical & Sparse

Declare analyzer, collection model, smoothing mu, OOV handling, log-score formula, document length, and tie break.

required proofFrozen-qrel parameter sweep, score fixtures, NDCG@10, and latency.R2 · KDB-051 · KDB-052 · KDB-054 · KDB-059 · KDB-060

KRS-003

SPLADE SPARSE PROFILELexical & Sparse

Declare model and tokenizer digests, pooling, sparsity regularizer, expansion threshold, quantization, and active-term cap.

required proofNDCG@10, postings expansion, p99, index size, and freshness versus BM25.R3 · KDB-051 · KDB-052 · KDB-053 · KDB-055 · KDB-060

KRS-004

HNSW GRAPH PROFILEVector ANN

Declare metric, dimension, encoding, M, construction and search effort, seed, mutation, filtering, snapshot, and ties.

required proofRecall@10 versus brute force, p99, build rate, memory, load, and freshness.R4 · KDB-061..067

KRS-005

DISKANN SSD PROFILEVector ANN

Declare metric, graph degree, build and search lists, beam width, compressed bytes, cache budget, SSD, and deletion policy.

required proofRecall, p99, QPS, memory, bytes read, build, restart, and deletion evidence.R5 · KDB-061 · KDB-062 · KDB-063 · KDB-064 · KDB-065 · KDB-067

KRS-006

IVF-PQ COMPRESSED PROFILEVector ANN

Declare metric, centroids, probes, subquantizers, bits, training digest, residual mode, rerank depth, and empty-list behavior.

required proofRecall-latency-memory frontier, build reproducibility, and update visibility.R6 · KDB-061 · KDB-062 · KDB-063 · KDB-064 · KDB-066 · KDB-067

KRS-007

COLBERT LATE INTERACTIONNeural Rerank

Declare model and tokenizer digests, token dimension, length limits, MaxSim, compression, candidate depth, and truncation.

required proofNDCG@10, p99, compute, index bytes, and deterministic fixtures.R7 · KDB-060 · KDB-062 · KDB-067 · KDB-068 · KDB-069

KRS-008

RECIPROCAL RANK FUSIONFusion & Diversity

Declare input rankers, list depths, rank constant, weights, duplicate and missing-list behavior, and tie break.

required proofExact score fixtures, permutation tests, NDCG@10, and fusion overhead.R8 · KDB-059 · KDB-060 · KDB-068 · KDB-069

KRS-009

LAMBDAMART RERANKERNeural Rerank

Declare feature schema, normalization, data and judgment provenance, objective, tree parameters, seed, missing features, and model digest.

required proofLeakage-safe NDCG uplift, p99, feature cost, fixtures, and drift report.R9 · KDB-059 · KDB-060 · KDB-068 · KDB-069

KRS-010

MAXIMAL MARGINAL RELEVANCEFusion & Diversity

Declare relevance, pairwise similarity, normalization, diversity weight, candidate depth, duplicates, selection order, and ties.

required proofNDCG plus declared diversity metric across the weight frontier, fixtures, and p99.R10 · KDB-059 · KDB-060 · KDB-068 · KDB-069

Proposed performance vocabulary · KPF

Performance 10x Terms

Twenty measurable mechanisms for reducing database work. The 10x target is a benchmarked portfolio outcome; gains from individual terms are not promises and are not safely additive.

20 terms / 4 families

KPF-001

HOTSET RESIDENCYData Path & Memory

Keep the access-weighted working set in a bounded memory tier instead of valuing every cached byte equally.

speed gateWarm p99 at most 20% of uncached baseline; hit ratio at least 99%.KDB-014 · KDB-183 · KDB-188

KPF-002

SCAN-RESISTANT ADMISSIONData Path & Memory

Admit an item only when its expected reuse exceeds the item it would evict, protecting hot data from one-pass scans.

speed gateA full scan reduces hotset hit ratio by no more than 1 percentage point.KDB-014 · KDB-135 · KDB-188

KPF-003

BLOOM-GATED MISSData Path & Memory

Reject absent keys with a probabilistic membership gate before opening an index or data block.

speed gateAt most 0.05 data-block reads per miss; false-positive rate at most 1%.KDB-014 · KDB-031

KPF-004

PREFIX-COMPACT KEYSPACEData Path & Memory

Encode shared tenant, collection, and key prefixes once per block while preserving ordered comparison.

speed gateStored and read key bytes at most 25% of flat-key baseline.KDB-024 · KDB-044 · KDB-185

KPF-005

ZERO-COPY FRAME PATHData Path & Memory

Carry payloads through validated buffer views and ownership transfer instead of repeated allocation and copying.

speed gateNo more than one full-payload copy through durable-frame encoding.KDB-007 · KDB-019 · KDB-053

KPF-006

DEADLINE GROUP COMMITCommit & Concurrency

Coalesce independent commits into one durability operation without exceeding each caller's latency deadline.

speed gateAt least 10x one-transaction-per-fsync throughput while meeting durable p99.KDB-002 · KDB-003 · KDB-012

KPF-007

CONFLICT-LANE SHARDINGCommit & Concurrency

Route disjoint conflict domains to independent lock and log lanes while retaining one order inside each domain.

speed gateFour lanes deliver at least 3.2x throughput with p99 degradation at most 20%.KDB-003 · KDB-012 · KDB-018

KPF-008

OVERLAPPED COMMIT PIPELINECommit & Concurrency

Overlap validation, encoding, replication, durability, and index preparation while preserving atomic visibility.

speed gateAt least 2.5x serial-stage throughput with identical crash results.KDB-003 · KDB-005 · KDB-012 · KDB-017

KPF-009

RETRY RECEIPT MEMOCommit & Concurrency

Return the immutable prior receipt for a repeated idempotency key without executing the mutation again.

speed gateDuplicate retry CPU at most 10% of original; zero extra log records.KDB-011 · KDB-012 · KDB-017

KPF-010

SNAPSHOT COALESCINGCommit & Concurrency

Let compatible reads share an immutable snapshot handle, validation result, and coordinated readahead window.

speed gateAt least 80% reuse and at least 80% less setup CPU per compatible read.KDB-013 · KDB-014 · KDB-024

KPF-011

PLAN SHAPE CACHEQuery & Index Execution

Cache normalized plans by query shape, schema and index epochs, consistency mode, and tenant policy epoch.

speed gateAt least 95% eligible hits; planning below 5% of query latency.KDB-035 · KDB-045 · KDB-046

KPF-012

PROVEN PARTITION PRUNINGQuery & Index Execution

Produce an auditable proof that excluded shards cannot contain a matching row before dispatch.

speed gateOnly required shards scanned; at least 10x less shard work than full fan-out.KDB-035 · KDB-101 · KDB-134

KPF-013

INCREMENTAL VIEW PATHQuery & Index Execution

Maintain expensive projections and aggregates from the commit stream instead of recomputing them on every read.

speed gateMaterialized p95 at most 10% of recompute p95 inside freshness budget.KDB-017 · KDB-055 · KDB-072

KPF-014

DELTA INDEX MERGEQuery & Index Execution

Apply mutations to small ordered deltas and merge incrementally without blocking reads or rebuilding the full index.

speed gateMeet update p99 with merge write amplification at most 1.4x.KDB-008 · KDB-042 · KDB-043 · KDB-055

KPF-015

WORKLOAD-SHAPED COMPACTIONQuery & Index Execution

Schedule compaction by hotness, tombstone density, overlap debt, and foreground latency budget.

speed gateForeground p99 within 1.2x baseline; write amplification at most 1.4x.KDB-006 · KDB-008 · KDB-012

KPF-016

BLOCK MAX WAND EXITSearch, Vector & Distributed Tails

Use Block Max WAND score bounds to skip posting blocks that cannot enter the current top-k result set.

speed gateAt least 80% fewer scored candidates with exact top-k results.KDB-051 · KDB-052 · KDB-056

KPF-017

QUANTIZED RETRIEVAL CASCADESearch, Vector & Distributed Tails

Retrieve candidates from compressed vectors, then rerank the short list with full-precision vectors.

speed gateMemory at most 35% of raw; recall at least 0.95; p99 at most 8 ms.KDB-062 · KDB-063 · KDB-067

KPF-018

CONFIDENCE STOP RULESearch, Vector & Distributed Tails

Stop retrieval when a proven score bound shows that more work cannot materially change the accepted result.

speed gateInspect at most 25% of candidates with NDCG@10 loss at most 0.01.KDB-056 · KDB-060 · KDB-063 · KDB-069

KPF-019

TAIL-HEDGED LOCAL READSearch, Vector & Distributed Tails

After a percentile-derived delay, issue one cancellable duplicate read to another eligible replica.

speed gateP99 at most 50% of unhedged baseline; extra requests at most 5%.KDB-014 · KDB-133 · KDB-134

KPF-020

SATURATION GOVERNORSearch, Vector & Distributed Tails

Adapt concurrency, admission, and queue budgets before CPU, memory, or I/O saturation creates latency collapse.

speed gateAt least 85% of peak useful throughput with bounded p99 and zero OOM.KDB-020 · KDB-184

ORM and query-tool fabric · contract-tested previews

Data Access Integrations

Familiar access patterns for twelve developer ecosystems. Native HTTP previews and Postgres bridge starters publish their exact transaction, migration, and feature boundaries instead of claiming full ORM compatibility.

loading integrations

Loading the data-access catalog.

Governed vocabulary · KFO 2026.1

Foundry Operating Terminology

Five orthogonal families keep capability maturity, evidence scope, measurement state, proof state, and delivery state separate. These words govern roadmap reviews; they are not new product capabilities.

40 terms

Portfolio planning

portfolio, domain, capability, initiative, delivery slice, dependency, 5x objective, guardrail

What is being compared, funded, and bounded?

Capability maturity

research, planned, partial, implemented

How much supported production implementation exists?

Evidence scope

unit, component, production route, restart, concurrency, fault, provider, live

What boundary did the evidence exercise?

Measurement state

signal, matched baseline, target, release gate, regression, tail, quality floor, cost envelope

What was measured and what must pass?

Proof and delivery

evidence artifact, proof pack, multiplier claim, verified, certified, deployed, live-observed, claim expiry

Did the proof pass, ship, and get observed?

Canonical definitions and stable KFO-001..040 identifiers live in docs/scale/foundry-operating-terminology.md, governed by docs/decisions/ADR-021-foundry-operating-vocabulary.md.

Pinned source integration · .kyrx

KYRx Source Files

Deterministic source snapshots become searchable Foundry evidence and ordinary KynetraDB entities. Files are indexed as data and are never executed by this pipeline.

loading snapshot

Loading the pinned KYRx source snapshot.

Proposed standard · KDT 2026.1

Database Developer Terminology

Three hundred vendor-neutral contracts for discussing database semantics, evidence, interoperability, and operations. IDs are stable; adoption requires observable proof, not name usage.

loading registry

Loading the KDT registry.

The Kynetra Lexicon

Write

The log-write verbs. Every mutation is an append; history is never rewritten.

APPEND write live

Write a new record to the tail of the log — the atomic unit of durability.

maps to INSERT

PUT write live

Create or replace an entity by id.

maps to UPSERT

PATCH write live

Merge fields into an existing entity without rewriting the whole record.

maps to UPDATE

DROP write live

Retire an entity by writing a tombstone — the log records the deletion, never erases it.

maps to DELETE

SEAL write live

Force pending writes to durable storage.

maps to COMMIT / fsync

BATCH write live

Group writes so they apply atomically or not at all.

maps to TRANSACTION

EMBED write live

Attach a vector embedding to an entity at write time.

maps to vector column write

TAG write live

Label a record with a kind for routing and isolation.

maps to set type / label

STAMP concept live

The monotonic sequence and timestamp the log assigns each record.

maps to LSN + ts

MINT write live

Issue a new unique id for an entity.

maps to generate primary key

Read

The retrieval verbs. All of them resolve against state replayed from the log.

FETCH read live

Read a single entity by id.

maps to SELECT by PK

SCAN read live

Read a range or page of entities in log order.

maps to SELECT … LIMIT/OFFSET

FILTER read live

Return entities matching a predicate.

maps to WHERE

COUNT read live

Number of entities matching a query.

maps to COUNT(*)

PROJECT read live

Return only a chosen subset of fields.

maps to SELECT columns

EXPAND read live

Resolve related entities inline in one read.

maps to JOIN / embed

TAIL read live

Follow the log forward from an offset — the streaming read primitive.

maps to CDC / change feed

REPLAY concept live

Rebuild in-memory state by re-reading the log from the start.

maps to WAL replay

SNAPSHOT read live

A consistent point-in-time view of the state.

maps to snapshot read

PEEK read concept

Read without advancing a cursor or causing side effects.

maps to non-consuming read

Search & Rank

Relevance, in-process. Full-text and vector share one ingest — no second service.

SEARCH read live

Full-text BM25 query over indexed text.

maps to full-text search

NEAR read live

Vector nearest-neighbour search by cosine similarity.

maps to ANN / vector search

FUSE read live

Combine text and vector results with reciprocal rank fusion.

maps to hybrid search

RANK read live

The relevance ordering applied to results.

maps to ORDER BY score

SCORE concept live

The numeric relevance of a single hit.

maps to rank score

RECALL concept concept

Fraction of true neighbours an approximate search returns.

maps to recall@k

FOLD concept live

Case and accent normalization applied before indexing.

maps to text normalization

TOKEN concept live

The unit of indexed text.

maps to term

TOPK read live

The number of results a query asks for.

maps to k / LIMIT

INDEX concept live

The derived structure that makes a query shape fast (BM25, HNSW).

maps to index

Cache

Read-shaped requests warmed at the edge, invalidated the instant a write lands.

WARM concept live

Preload a query result into the edge cache before it is asked for.

maps to cache warm

PIN concept concept

Keep an entry resident, exempt from eviction.

maps to pin

EVICT concept concept

Remove an entry to reclaim space.

maps to evict

PURGE both live

Invalidate cached entries by tag — fired automatically on mutation.

maps to invalidate

STALE concept live

An entry past its freshness window.

maps to stale

FRESH concept live

An entry still within its TTL.

maps to fresh

HIT read live

A request served from cache.

maps to cache hit

MISS read live

A request that fell through to origin.

maps to cache miss

TTL concept live

How long an entry stays fresh before revalidation.

maps to ttl

REVALIDATE concept live

Refresh a stale entry in the background while still serving it.

maps to stale-while-revalidate

Replicate & Cluster

One primary assigns sequence; many replicas tail the same log and serve reads.

FAN-OUT concept live

One primary log read by many replicas.

maps to replication

PRIMARY concept live

The single node that assigns sequence and accepts writes.

maps to leader

REPLICA concept live

A read-only node tailing the primary log.

maps to read replica

LAG concept live

How many records a replica trails the primary by.

maps to replication lag

PROMOTE concept concept

Turn a replica into the primary.

maps to failover promote

PROXY write live

A replica forwarding a write to the primary.

maps to write forwarding

TOPOLOGY read live

The live map of primary and replicas.

maps to cluster topology

HEARTBEAT concept live

The periodic liveness signal between nodes.

maps to heartbeat

DRIFT concept concept

Divergence between a replica state and the primary.

maps to divergence

REGION read live

The geographic pool a read is routed to at the edge.

maps to regional routing

Log & Storage

The append-only log is the single source of truth. Everything else is derived.

LOG concept live

The append-only sequence that is the one source of truth.

maps to WAL

SEQ concept live

The monotonic position of a record in the log.

maps to LSN / offset

OFFSET concept live

A cursor position within the log.

maps to offset

SEGMENT concept concept

A contiguous chunk of the log on disk.

maps to WAL segment

CHECKPOINT concept live

A periodic durable snapshot that bounds replay time.

maps to checkpoint

COMPACT concept concept

Reclaim space by dropping superseded records.

maps to compaction

TOMBSTONE concept live

The log marker for a deleted entity.

maps to tombstone

TRUNCATE write live

Cut the log back to a sequence.

maps to truncate

BACKEND concept live

Where the log physically lives — file, Postgres, or D1.

maps to storage engine

DURABLE concept live

Written past the point of loss on crash.

maps to fsynced

Shape & Schema

Entities are kind-prefixed, so cross-tenant reads are impossible by construction.

KIND concept live

The type that partitions entities and enforces isolation.

maps to table / type

ENTITY concept live

One record: id, attrs, and an optional embedding.

maps to row / document

ATTRS concept live

The JSON payload of an entity.

maps to columns / fields

FIELD concept live

A typed attribute within a collection schema.

maps to column

COLLECTION concept live

A named, schema-bound set of entities.

maps to table

SHAPE concept live

A collection schema — fields, types, and rules.

maps to schema

RULE concept live

An access predicate on a collection.

maps to RLS policy

RELATION concept live

A link from one entity to another.

maps to foreign key

GEO concept live

A latitude/longitude point field.

maps to geo point

MIGRATE write live

Evolve a collection shape over time.

maps to migration

Identity & Access

Service keys bypass rules; user JWTs and anon keys respect them transparently.

TOKEN concept live

A bearer credential that authorizes a caller.

maps to API key

GRANT write live

Give a role a capability.

maps to GRANT

SCOPE concept live

The boundary a token or role may act within.

maps to scope

ROLE concept live

A named permission set — User, Admin, SuperAdmin.

maps to role

CLAIM concept live

An assertion inside a JWT — sub, role, exp.

maps to JWT claim

ROTATE both live

Replace a key while briefly accepting the old one.

maps to key rotation

REVOKE write live

Invalidate a token or grant.

maps to revoke

ANON concept live

An unauthenticated identity with restricted rights.

maps to anonymous

UID concept live

The authenticated subject id rules evaluate against.

maps to auth.uid()

GATE concept live

The auth check a request must pass before it runs.

maps to auth middleware

Operations & Health

A node proves it can serve, not just that the process is up.

PROBE read live

A health check that proves a node can actually serve.

maps to health probe

BREAKER concept live

A circuit breaker that fails fast on a downed dependency.

maps to circuit breaker

AUDIT read live

The tamper-evident hash-chained record of every admin mutation.

maps to audit log

CHAIN concept live

The hash links that make the audit tamper-evident.

maps to hash chain

PERCENTILE read live

p50 / p95 / p99 request latency.

maps to latency percentile

RING concept live

The bounded buffer of recent latency samples.

maps to ring buffer

THROTTLE concept live

Rate-limit a caller at the edge.

maps to rate limit

WAF concept live

The edge guard filtering IPs, user-agents, and headers.

maps to WAF

READY concept live

The state where a node can accept traffic.

maps to readiness

DEGRADED concept live

Serving, but with a failing check.

maps to degraded

Connect & Edge

One engine, many ways in — SDK, REST, MCP, CLI, and serverless edge bridges.

BRIDGE concept live

A serverless worker that speaks the API over a Cloudflare store.

maps to edge adapter

EDGE concept live

The Cloudflare POP layer in front of the origin.

maps to edge / CDN

SDK both live

The typed client — @kynetra/client.

maps to client library

MCP both live

The JSON-RPC tool surface agents connect through.

maps to MCP server

WIRE both live

The CLI remote protocol to a node.

maps to remote CLI

HOOK concept live

An outbound webhook fired when a mutation lands.

maps to webhook

SIGN concept live

HMAC-sign a webhook payload so the receiver can verify it.

maps to payload signing

ORIGIN concept live

The node the edge forwards a request to.

maps to origin server

ROUTE concept live

The rule mapping a hostname or path to a worker.

maps to route

SINK write live

An outbound destination the log streams to.

maps to CDC sink

Micro-KPI Scale Terms

The operating vocabulary that connects Foundry terminology, live signals, and the 200 micro-KPI roadmap.

SIGNAL metric live

A measured value from route telemetry, a benchmark, a deploy smoke test, or a production probe.

maps to KPI evidence source

BASELINE metric live

The first trusted current value for a KPI, recorded before declaring a target met.

maps to KPI state: baseline

TARGET metric live

The measurable value KynetraDB is trying to reach for a KPI family.

maps to KPI state: target

GATE governance live

A KPI condition that must pass before a release, provider, or roadmap phase is called done.

maps to release gate

REGRESSION governance live

A KPI value moving the wrong way against its baseline or release gate.

maps to CI/release block

BUDGET metric live

A numeric limit for latency, error rate, memory, storage overhead, or cost.

maps to latency/error/cost target

BURN metric live

The rate at which a service consumes its SLO or error budget.

maps to KDB-161..170

TAIL metric live

The p95, p99, and max behavior that decides whether a system feels reliable under load.

maps to route SLO p99

SEAL P99 metric live

The p99 durable append time for the Universal Log with fsync enabled.

maps to KDB-001..002

REPLAY RATE metric live

Records per second applied during boot, restore, or replica catch-up.

maps to KDB-021..030

INDEX COVERAGE metric live

The share of real queries served by scalar, BM25, vector, or hybrid indexes instead of scans.

maps to KDB-041..060

RECALL metric live

The retrieval quality check: whether search and vector results still find the right answers at scale.

maps to KDB-063, KDB-069

LAG metric live

The distance between primary commit progress and what a replica or edge can safely serve.

maps to KDB-131..132

PURGE SPAN metric live

The time between a mutation and the last unsafe cached response being invalidated.

maps to KDB-136

RPO resilience live

The maximum committed data the system is allowed to lose during disaster recovery.

maps to KDB-150

RTO resilience live

The time allowed to restore service after failover, restore-to-new, or regional loss.

maps to KDB-137..138, KDB-144

COST ENVELOPE business live

The allowed cost range for a workload before KynetraDB loses its stack-compression advantage.

maps to KDB-181..190

ACTIVATION CLOCK business live

The measured time from first contact to first useful database action.

maps to KDB-191..193

PROOF POINT business concept

A validated customer story showing which services KynetraDB removed from a real stack.

maps to KDB-199

MOAT DELTA business concept

The measured advantage over a multi-vendor stack: fewer services, lower cost, faster activation, or higher retention.

maps to KDB-181, KDB-199..200

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