⌂ ISNADIA← Back
EvidenceConfidenceExplanation
never  Assumption → Conclusion
Most systems show what they know. ISNADIA shows what we know, what we do not know, and why we believe it.
Knowledge Health
Intelligence maturity — share of story layers that are known vs. open
32% known
68% unknown
133 of 418 story layers establisheduncertainty is tracked, not hidden
Known facts (sourced units)0
Known relationships0
Evidence records (live)14,253
Possible operators tracked0
Today's Unknowns — uncertainty as a first-class intelligence object
38
Unknown Ownership
assets
35
Unknown Cause
assets
34
Unknown Entity
assets
33
Unknown Cluster
assets
31
Unknown Behavior
assets
31
Unknown Fingerprint
assets
31
Unknown Chain
assets
28
Unknown Transaction
assets
Unknowns are discoveries, not gaps in a dashboard. Each is a research target the system surfaces on purpose.
Unknown Intelligence — the most valuable unknowns to close
Most important cause unknown
9 of 11 layers already known · 511 evidence records — closing this completes the story
PYTH →
Most important ownership unknown
10 of 11 layers already known · 7878 evidence records — closing this completes the story
SOL →
Most important migration unknown
6 of 11 layers already known · 132 evidence records — closing this completes the story
RENDER →
Most important entity unknown
9 of 11 layers already known · 2192 evidence records — closing this completes the story
JUP →
Knowledge DNA — how each behavior is constructed from fingerprints
Opportunistic Liquidity
built from
17
fingerprints · confidence 100
see the DNA →
Exchange Rebalancing
built from
16
fingerprints · confidence 100
see the DNA →
Treasury Deployment
built from
15
fingerprints · confidence 100
see the DNA →
Cross-Asset Migration
built from
14
fingerprints · confidence 100
see the DNA →
Market Making
built from
11
fingerprints · confidence 100
see the DNA →
Liquidity Rotation
built from
8
fingerprints · confidence 100
see the DNA →
Top stories — impact & evidence strength
Critical
Unknown Ownership — 38 asset(s) lack this layer
Knowledge Gap · evidence 0 · confidence —
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Critical
Unknown Cause — 35 asset(s) lack this layer
Knowledge Gap · evidence 0 · confidence —
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Critical
Unknown Entity — 34 asset(s) lack this layer
Knowledge Gap · evidence 0 · confidence —
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Critical
Unknown Cluster — 33 asset(s) lack this layer
Knowledge Gap · evidence 0 · confidence —
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High
Capital movement: PYTH → SOL
Capital Movement · evidence 7878 · confidence 78
█████████░
Knowledge Health — metrics computed from the live stores on each build (Package B)
Source multiplicity3.9% of 42,780 recordsTarget ≥ 65%Below Target
Single-source records41,117 records (96.1%)Target ≤ 35% of recordsBelow Target
Narrative coverage21% of 7,251 assetsTarget ≥ 80%Below Target
Orphan records10Target 0Below Target
Failure-record completeness100.0%Target ≥ 98%On Track
Relationship density per asset2.88 relationships/assetTarget ≥ 5 relationships/assetBelow Target
Attribution coverage77 / 100Target ≥ 60On Track
Data-quality flags94 open flag (28 fake liquidity awaiting review)Target 0 open flagsBelow Target
Preservation integritypreserved 8,884 · enriched 415,818 · added 293,193 · quarantined 197 · blocked writes 10Target 0 silent loss — merge instead of overwriteBelow Target
Evidence retention85.97% of 28,741 reference evidence unitsTarget 100% (evidence_baseline.json baseline)Below Target
Recovery success0.0% — no loss requiring recoveryTarget 100% after every refresh cycleBelow Target
Knowledge capitalBackup and disaster recovery — Package C2 (backup_log.jsonl · restore_test_log.jsonl)
Last backupbackup_2026_06_17.zip · 1.8 hours ago (2026-06-17T10:30:26Z) · 7.0 MB · SHA-256 ee8d11147ff2…Target newer than 26 hours (RPO ≤ 24h)On Track
Last successful restore test2026-06-11T20:47:53Z · extracted 1154 files · evidence counts matched those recorded at backup time (7 stores)Target monthly — a backup never restored is not a backupOn Track
Backup healthZIP integrity (CRC) + SHA-256 intact · critical items missing/unreadable — see backup_log · recent amber notes: 25Target CRC + SHA-256 + complete manifestNear Target
Retention statusdaily 1/30 · weekly 1/12 · monthly 1/≥24 · pre-build 2/10Target 30 daily · 12 weekly · ≥24 monthly · 10 snapshotsOn Track
Recovery readinessReady — recent backup and successful restore testTarget recent backup + successful restore test togetherOn Track
Entity enrichmentEntity enrichment program — Package C3 (entity_quality.json · enrichment_priority_queue.json · apply_enrichment.py)
Stub entities remaining6,282 of 7,101 entities (88.5%) — derived description with unknown identityTarget 0 — every entity has a real descriptionBelow Target
Enriched entities200 entities via apply_enrichmentTarget grows with each accepted research batchOn Track
Quality distribution (5 levels)Poor 6,373 · Basic 519 · Good 8 · Rich 10 · Comprehensive 191Target ≥ 60% Good or aboveBelow Target
Narrative graduations (assembly factory)228 records assembled from store evidenceTarget grows after each enrichment batch (enrichment unlocks assembly)On Track
Source coverage2.9% of entities with two or more independent sourcesTarget ≥ 60%Below Target
Event coverage2.7% of entities with two or more dated eventsTarget ≥ 60%Below Target
Corroboration factoryCorroborated today via GeckoTerminal: 0 relationships · single-source records: 41,117 Trend computed from knowledge_health_history.json — a point is recorded on each build
All values are computed from the live stores on each build — no hand-entered numbers, and gaps are shown as they are. The quality flags are the data_quality_watchlist.json review list — their temporary presence is healthy: the system surfaces its own tainted data. Backup destination: /root/Documents/Isnadia_Backups — outside the working folder; cloud sync is not a backup (it propagates deletion and corruption instantly). To add an external drive: secondary_destinations in backup_config.json. Last quality computation: 2026-06-17T10:44Z — entity_quality.json · priority queue: enrichment_priority_queue.json (refreshed with each full cycle).
Entity ranking: Most influential / Most connected / Highest risk concentration — computed from the relationship registry (Package A)
Most influential
1uniswap-labscentrality 0.239431
2raydiumcentrality 0.130778
3pancakeswap-protocolcentrality 0.122405
4UNKNOWN-OPERATORcentrality 0.071999
5aerodrome-protocolcentrality 0.069866
6meteora-protocolcentrality 0.057968
7orca-protocolcentrality 0.050309
8pump-fun-cocentrality 0.044122
9curve-daocentrality 0.029732
10blackrockcentrality 0.026425
Most connected
1uniswap-labs211 links
2raydium111 links
3pancakeswap-protocol105 links
4UNKNOWN-OPERATOR56 links
5aerodrome-protocol53 links
6meteora-protocol52 links
7orca-protocol48 links
8curve-dao37 links
9binance33 links
10pump-fun-co33 links
Highest risk concentration
1terraform-labs8 failure links
2ftx-exchange8 failure links
3three-arrows-capital5 failure links
4binance5 failure links
5abracadabra-mim5 failure links
6celsius-network4 failure links
7htx-exchange4 failure links
8tornado-cash4 failure links
9alameda-research3 failure links
10mango-markets3 failure links
Relationship strength coverage: 100.0% of 13,506 relationships (strong 503 · moderate 9,733 · weak 3,270) · approximated by sampling 200 of 4471 source nodes (graph > 2000 nodes)
Context coverage — Layer B readiness (Market Context Intelligence)
Tokenomics coverage
43 context record(s) · 39 active
active
Macro coverage
4 context record(s) · 4 active
active
Cycle coverage
2 context record(s) · 2 active
active
Sentiment coverage
2 context record(s) · 1 active
active
Quant coverage
2 context record(s) · 1 active
active
Tokenomics detail
38 assets tracked · 38 with known supply · 1 with unlock schedule · 0 high clarity · 36 low clarity · 0 unknown tokenomics
map →
Unlock calendar (v1.1)
1 assets with known unlocks · 37 with unknown schedules · 1 upcoming events tracked · coverage 3%
Upcoming tokenomics events
APTUnlock · 2026-08 (in ~44 days) · Importance Medium · Context Constraining · Confidence 50
Full calendar →
calendar →
Macro intelligence (Layer B-2)
coverage 40% (4/10 categories) · assessment confidence 58 · 8 macro events · 2 named unknowns
macro →
Cycle intelligence (Layer B-3)
coverage 83% (5/6 cycles) · assessment confidence 43 · 8 cycle events · 1 named gaps
cycles →
Sentiment intelligence (Layer B-4)
coverage 30% (3/10 categories) · reading confidence 50 · 14 narratives (attention coverage 93%) · 5 quality flags · 5 named gaps
sentiment →
Quant intelligence (Layer B-5, final)
coverage 70% (7/10 categories, computed) · confidence 66 · regime ✓ · correlation ✓ · anomaly ✓ · 144 quant events · 1 named gaps
quant →
Coverage depth (Phase 2)
334 narratives (237 known / 97 unknown attention) · 7101 entities · 0 ownership objects (0 known, 0 candidate/unknown) · 56 attention migrations
depth →
Entity & ownership health (Phase 3)
7101 entities (6715 known) · 98 institutions · 7611 ownership objects (known 0% / probable 84% / candidate 1% / unknown 15%) · maturity 60/100 · attribution confidence 65 · 226 typed relationships
entities →
Entity stories
7101 created · 0 missing · coverage 100% · avg confidence 57 · 7093 with evidence · 21471 visible unknowns
stories →
Entity chains (v2)
evidence 100% · attribution 100% · timeline 100% · unknown-chain 100% · avg completeness 41/100 · 55735 auditable chain records
chains →
Narrative migration
334 narratives tracked · 8 migrations (8 capital-led candidates) · 0 emerging · 0 declining · attention known 237/334 · avg confidence 57 · 108 unknowns
migrations →
Universe population
7251 assets ingested (target 1000) · 1263 verified · 1693 quarantined · avg confidence 65 · liquidity 56% · narrative 21% · 22330 declared unknowns
universe →
Relationship expansion
42283 relationships (growth +16344) · known 18556 · candidate 3452 · avg confidence 68 · density 2.88/asset · 10.71/narrative · most connected: uniswap
relationships →
Failure encyclopedia
501 gold cases · 50 DNA signatures · 246 contagion edges · avg confidence 69 · 501 visible unknowns · readiness 100/100
failures →
Knowledge density scores
knowledge 42 · evidence 100 · failure 100 · entity 75 · relationship 29 · narrative 21 · maturity 71 · overall 63/100
scores →
Knowledge debt
37100 open unknowns · 233 resolved · rate 1% · velocity: Knowledge debt growing · avg age 0.0d · top priority: XRP: Unknown TVL
debt →
Knowledge debt burn rate — core KPI
net 30d +0 · 7d trend: No data yet · efficiency 3% · fundamental excluded 509 · forecast 90d 36591 · improvement score 66/100 — Growing smarter
burn rate →
Attribution intelligence (L6)
13534 attribution edges · known 334 · probable 13030 · coverage score 77 · confidence 73 · 8258 attribution unknowns open · cluster coverage 36%
attribution →
Coverage program (Phase 2)
readiness 98/100 (target 90+) · weakest: liquidity_coverage_pct, assets, entities · debt guard: expansion allowed
coverage →
Behavior maturity (curated layer)
102 behaviors (17 observed · 85 defined-honest) · 50 DNA · 7345 entity↔behavior attributions (19 known) · 3149 network edges · readiness 83/100
behavior →