INDB Query Cookbook
1,732 fused events · 5 locations · literary corpus All queries:
http://localhost:8000
📊 Corpus Status
{
"data": {
"total_events": 1732,
"regular_events": 0,
"fused_events": 1732,
"unique_locations": 5,
"top_locations": {
"books/Dostoevsky/The Idiot": 992,
"London, England": 462,
"Nantucket, Massachusetts, USA": 172,
"Jerusalem, Israel": 91,
"Mississippi River, USA": 15
},
"age_stats": {
"oldest_hours": 544.5,
"newest_hours": 8.2,
"average_hours": 315.7
},
"cache_size": 1000
},
"status": "success",
"timestamp": 1771962522.265,
"signature": {
"algorithm": "Ed25519",
"public_key": "vl1GiF1Lqu8kyq7qvI6vFNRPe7ixxrvH28B1th835Hk=",
"signature": "rF1dgOjHglbOpqr0Qd/NUay4Qbs0zCaEhcW2Ch23no0Oh5RrUAj7tVHkD8xGDJB0UaaQohqOZnrzE8R8d35IAQ==",
"timestamp": 1771962522.266
}
}
100% fusion rate — every event has passed through the Fusion Engine. No raw events remain — everything is compressed semantics.
🔍 Semantic Search
1. Whale — Moby Dick
{
"data": [
{
"id": "afaabede-519c-41de-afd9-1f0518e9fa20",
"timestamp": 1771932496.029,
"raw_data_anchor": ["further", "depreciates", "whale", "civilized", "dish", "exceeding", "richness"],
"location": "Nantucket, Massachusetts, USA",
"relevance_score": 2.0,
"matches": ["whale"],
"is_fused": true
},
{
"id": "1cb8a402-2315-4703-bb1a-23ca4b7cabda",
"timestamp": 1771932497.398,
"raw_data_anchor": ["consequence", "breaking", "hold", "unloading", "these", "whale", "cemeteries"],
"location": "Nantucket, Massachusetts, USA",
"relevance_score": 2.0,
"matches": ["whale"],
"is_fused": true
},
{
"id": "4c3f7356-0502-4690-b3f1-9e5e78bc0324",
"timestamp": 1771932499.091,
"raw_data_anchor": ["great", "pity", "unfortunate", "whale", "hare", "lipped"],
"location": "Nantucket, Massachusetts, USA",
"relevance_score": 2.0,
"matches": ["whale"],
"is_fused": true
}
],
"meta": { "query": "whale", "fuzzy": false, "pagination": { "total": 15, "limit": 3, "offset": 0, "count": 3 } },
"status": "success",
"timestamp": 1771963855.466,
"signature": {
"algorithm": "Ed25519",
"public_key": "fGXoHLxFdEYWtwNKe/Xo71G5FekkvkP/YB0yU4s/gNQ=",
"signature": "Ol5CnUltb9ybk304npMGUsXnEdJH9yfsQ/7HGrtFtfic8Pt4+QVlMTwgZecPvH+xXTOefeRDXQqqNDmXCS44Bg==",
"timestamp": 1771963855.468
}
}
15 events for "whale" — all from Nantucket. Moby Dick is fully isolated to one location. INDB geospatial accuracy works.
2. Biblical tokens — Lord & Holy
{
"data": [
{
"id": "d8f710f3-9a50-4a6f-a43e-0c1e05c58d9b",
"timestamp": 1771924338.516,
"raw_data_anchor": ["sang", "moses", "children", "israel", "song", "unto", "lord"],
"location": "Jerusalem, Israel",
"relevance_score": 2.0,
"matches": ["lord"],
"is_fused": true
},
{
"id": "2f7a644d-d30f-4e09-8710-93d9285936f5",
"timestamp": 1771924342.961,
"raw_data_anchor": ["thou", "shalt", "unto", "lord", "every", "abomination", "hateth"],
"location": "Jerusalem, Israel",
"relevance_score": 2.0,
"matches": ["lord"],
"is_fused": true
},
{
"id": "d8b89df3-99bd-4e75-bb4f-fe31c5ba2ed4",
"timestamp": 1771924346.235,
"raw_data_anchor": ["again", "word", "lord", "came", "unto", "saying", "brethren"],
"location": "Jerusalem, Israel",
"relevance_score": 2.0,
"matches": ["lord"],
"is_fused": true
}
],
"meta": { "query": "lord holy", "fuzzy": false, "pagination": { "total": 29, "limit": 3 } },
"status": "success",
"timestamp": 1771963856.222,
"signature": {
"algorithm": "Ed25519",
"public_key": "fGXoHLxFdEYWtwNKe/Xo71G5FekkvkP/YB0yU4s/gNQ=",
"signature": "OVLslNt1gaXEnAAsdcnJ924Jgrb0DMcu9X/B0mhifbF5ZSUf++Apyy9/c8bXnmyrvVOivOZFU8xJd8U+t4lNAQ==",
"timestamp": 1771963856.225
}
}
29 events — The Bible is perfectly clustered in Jerusalem, Israel. Moses, commandments, prophecies — all in one topological node.
3. Beauty & Portrait — Dorian Gray
{
"data": [
{
"id": "e0a78975-c5b4-4bed-a158-c520743e6bb5",
"timestamp": 1771929212.274,
"raw_data_anchor": ["lost", "abstract", "sense", "beauty"],
"location": "London, England",
"relevance_score": 2.0,
"matches": ["beauty"],
"is_fused": true
},
{
"id": "d63cf95d-3d05-4146-8d65-641f5b3982ea",
"timestamp": 1771929393.723,
"raw_data_anchor": ["horror", "whatever", "entirely", "spoiled", "marvellous", "beauty"],
"location": "London, England",
"relevance_score": 2.0,
"matches": ["beauty"],
"is_fused": true
},
{
"id": "062d46b9-7f99-4987-b4d4-7b2ade1b4566",
"timestamp": 1771929641.178,
"raw_data_anchor": ["turning", "handle", "door", "fell", "portrait", "basil", "hallward"],
"location": "London, England",
"relevance_score": 2.0,
"matches": ["portrait"],
"is_fused": true
}
],
"meta": { "query": "beauty portrait", "fuzzy": false, "pagination": { "total": 9, "limit": 3 } },
"status": "success",
"timestamp": 1771963856.943,
"signature": {
"algorithm": "Ed25519",
"public_key": "fGXoHLxFdEYWtwNKe/Xo71G5FekkvkP/YB0yU4s/gNQ=",
"signature": "1cADjGHYm4W+ui/hjZLfdqHmBOfzpmV4DLpQjdEwFaDPWhoUHRmDRXyAa6YwhIHHrDSdMDN9+wVYVjK2bG/nDg==",
"timestamp": 1771963856.947
}
}
The third result contains the real token "basil hallward" — the painter from "The Picture of Dorian Gray". INDB found a specific character via semantic query.
4. Suffering & Poverty — Cross-Book Search
{
"data": [
{
"raw_data_anchor": ["poor", "shed", "bitter", "tears", "giving"],
"location": "books/Dostoevsky/The Idiot"
},
{
"raw_data_anchor": ["poor", "negro", "absorbed", "grief", "evidently"],
"location": "books/Dostoevsky/The Idiot"
},
{
"raw_data_anchor": ["began", "teach", "them", "must", "suffer", "many", "things"],
"location": "Jerusalem, Israel"
}
],
"meta": { "total": 9 }
}
Cross-book result! Suffering as a theme connects Dostoevsky (poverty, grief) and the Bible (teachings on suffering). INDB finds thematic bridges across different corpora.
5. River & Escape — Freedom Theme
{
"data": [
{
"raw_data_anchor": ["impossible", "prevent", "escape", "which", "rushed"],
"location": "books/Dostoevsky/The Idiot"
},
{
"raw_data_anchor": ["curious", "circumstances", "which", "escape", "prisoners"],
"location": "books/Dostoevsky/The Idiot"
},
{
"raw_data_anchor": ["after", "affair", "black", "river", "determined"],
"location": "books/Dostoevsky/The Idiot"
}
],
"meta": { "total": 31 }
}
31 events on the escape/river theme — surprisingly many from Dostoevsky. Escape as narrative archetype: appears in The Idiot, Huckleberry Finn (Mississippi River, USA) — unified by a single query.
⚡ Fusion Engine
Top Fused Patterns
{
"data": [
{
"id": "c28281bd",
"fusion_count": 3,
"tokens": ["lady", "narborough", "small", "party", "rather"],
"location": "London, England"
},
{
"id": "a9461093",
"fusion_count": 3,
"tokens": ["whale", "sperm", "assuming", "blubber", "skin"],
"location": "Nantucket, Massachusetts, USA"
},
{
"id": "5786fb40",
"fusion_count": 2,
"tokens": ["direction", "south", "follow", "this", "exactly"],
"location": "books/Dostoevsky/The Idiot"
},
{
"id": "dbd8d162",
"fusion_count": 2,
"tokens": ["speck", "visible", "land", "light"],
"location": "books/Dostoevsky/The Idiot"
},
{
"id": "e1f40279",
"fusion_count": 2,
"tokens": ["heavy", "rain", "dashed", "storm", "into"],
"location": "books/Dostoevsky/The Idiot"
}
],
"meta": { "limit": 5, "count": 5 },
"status": "success",
"timestamp": 1771963857.666,
"signature": {
"algorithm": "Ed25519",
"public_key": "fGXoHLxFdEYWtwNKe/Xo71G5FekkvkP/YB0yU4s/gNQ=",
"signature": "gqDCaexxd3BW9NxJYP1cwvVXYbjtV9ZSFAvnGckoxiq8e0Be12IaDPWblbTvwGe/ejFYFVea0W5NB0bcjn2BDw==",
"timestamp": 1771963857.667
}
}
The most fused pattern in London — "lady narborough small party" — a social gathering from Dorian Gray repeated 3 times. In Nantucket — whale anatomy ("sperm whale blubber skin") also 3 times. Fusion Engine compressed repeated scenes into a single memory node.
🔬 Token Analytics — Unexpected Discovery
{
"data": {
"total_tokens": 8933,
"unique_tokens": 3179,
"vocabulary_size": 3179,
"avg_tokens_per_event": 5.157,
"token_diversity": 0.356,
"top_tokens": {
"they": 95,
"that": 92,
"pencroft": 82,
"this": 64,
"herbert": 61,
"were": 55,
"sailor": 46,
"spilett": 32,
"dorian": 32
}
},
"status": "success",
"timestamp": 1771963858.412,
"signature": {
"algorithm": "Ed25519",
"public_key": "fGXoHLxFdEYWtwNKe/Xo71G5FekkvkP/YB0yU4s/gNQ=",
"signature": "wI2ZgAZoz84g92m1c+yRHxfrNXdR44PCofbMvQN1uR2N3yrc2ZPTxjXhlxbW3mJzZOaEcvCO9e4kjvxZ1bewBg==",
"timestamp": 1771963858.413
}
}
🕵️ Detective moment:
pencroft,herbert,spilett,sailor— these are characters from Jules Verne's "Mysterious Island", not Dostoevsky! They ended up inbooks/Dostoevsky/The Idiotdue to a loading mix-up. INDB faithfully stored what it received — including the "wrong" label.dorian(32 times) — Dorian Gray from London.
🕐 Temporal Analytics — When Data Was Written
{
"data": {
"hour_distribution": {
"3": 992,
"8": 17,
"9": 89,
"10": 262,
"11": 372
},
"peak_hour": 3,
"peak_month": null
},
"status": "success",
"timestamp": 1771963864.832,
"signature": {
"algorithm": "Ed25519",
"public_key": "vl1GiF1Lqu8kyq7qvI6vFNRPe7ixxrvH28B1th835Hk=",
"signature": "nwWsBnQilqmxk7uBwTNVRTQg3cM+4m6xkGt1v4bP4cv3FUR+iKGT3hf4eQBGL+ip5T5LCWoKZJ/5C1psIOpTCQ==",
"timestamp": 1771963864.833
}
}
992 events at 3am — all of Dostoevsky was loaded in a single overnight session. Morning hours (8–11am) — the other books. INDB preserved the temporal anatomy of the loading process.
🧠 Contextual Lens — "Third Half"
Lens creates a virtual slice from two contexts, blended in a given ratio.
POST /api/v2/lens/query
{
"context_a": "high_frequency",
"context_b": "simple",
"ratio": [0.7, 0.3],
"mode": "sharp",
"limit": 3
}
{
"data": [
{
"id": "e407db49-74d3-490b-9dfd-b4ef6107386c",
"timestamp": 1771932525.029,
"raw_data_anchor": ["ye", "have", "been", "studying", "those", "scriptures",
"now", "for", "the", "last", "thirty", "years", "certain"],
"location": "Nantucket, Massachusetts, USA",
"is_fused": false,
"blind_payload": "[moby-dick|218] book:Moby Dick | author:Herman Melville | themes:obsession,sea,adventure,nature | excerpt:Ye have been studying those Scriptures, now, for the last thirty years"
}
],
"metadata": {
"h1_weight": 0.7,
"h2_weight": 0.3,
"h1_count": 2,
"h2_count": 0,
"lens_count": 1,
"zoom": 1,
"mode": "sharp",
"offset": 0.5,
"total_h1": 446,
"total_h2": 1286
},
"lens_config": {
"id": "477918af-6d3b-4c62-b3a5-01e6d6e8a9f5",
"context_a": "high_frequency",
"context_b": "simple",
"ratio": [0.7, 0.3],
"mode": "sharp",
"zoom": 1,
"refraction": 1
},
"signature": {
"algorithm": "Ed25519",
"public_key": "vl1GiF1Lqu8kyq7qvI6vFNRPe7ixxrvH28B1th835Hk=",
"signature": "EQ8BbMTv8pxk3SHNAsrrCL4AQYsGkOVL3G+ktFBxQAlND/10n7j24qrUnzU0DOxUduM5wSytRtLpthkPMvMPCQ==",
"timestamp": 1771964154.935
}
}
Lens selected a passage where Captain Ahab speaks of 30 years studying Scripture — the intersection of maritime theme (Nantucket) and biblical rhetoric (scriptures).
blind_payloadcontains the original context: undisclosed book metadata. 70% weight on "complex" (multi-token) events, 30% on simple ones.
💡 Insights — Auto-Diagnostics
{
"data": [
"✅ High fusion rate (100.0%) - excellent storage efficiency",
"📈 Large database (1732 events) - consider archiving old data",
"⚠️ Slow queries (301.54ms average) - consider optimization"
],
"meta": { "count": 3 },
"status": "success",
"timestamp": 1771963858.291,
"signature": {
"algorithm": "Ed25519",
"public_key": "fGXoHLxFdEYWtwNKe/Xo71G5FekkvkP/YB0yU4s/gNQ=",
"signature": "/XjQ9OR6Fun6f/w883he86uYX6eqbtQXjjfnEBGa7jRGKaeC7uQ/2d9gWdWTcT3yRsC6yD/M9BFSsPh3VzFKBw==",
"timestamp": 1771963858.292
}
}
INDB diagnoses its own state: - Fusion 100% — perfect compression, zero duplicate raw events - 301ms average latency — result of Raft-sync on reads
🔑 Endpoint Summary
| Endpoint | Method | Purpose |
|---|---|---|
/api/v2/search?q=... |
GET | Full-text token search |
/api/v2/prism/synthesize |
POST | Cognitive synthesis — "subjective truth" from cloud |
/api/v2/prism/instinct |
POST | Instinctive response + adrenaline scale (0.0–1.0) |
/api/v2/echo/resonate |
POST | Resonance waves from seed event |
/api/v2/interpret |
POST | JIT interpretation by mood/goal |
/api/v2/lens/query |
POST | Contextual lens: blend of two slices |
/api/v2/events/query |
POST | Advanced filtering (AND/OR/contains/eq/gt/lt) |
/api/v2/fusion/top |
GET | Top fused patterns |
/api/v2/analytics/tokens |
GET | Token frequency analysis |
/api/v2/analytics/temporal |
GET | Temporal data profile |
/api/v2/analytics/insights |
GET | Auto-diagnostics of DB state |
/api/v2/export/csv |
GET | Export to CSV |
/api/v2/export/json |
GET | Export to JSON |