← The evidence ledger
Evidence row 220873
Observed , by probe.mcp/1.
- Kind
- mcp.tools
- About
- endpoint 02be1d0c-6d1c-4239-9c72-a782a9290ced
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 95edf743fde321ab0ae4356984b5615549140deede4284c17977425d4d087e0a
- Leaf
- 0x6f9769dd62b8a3fc0da88c63ba28b45a1c1144525dfcdc72866e8f92fea4ae38
What was observed
{
"count": 39,
"tools": [
{
"description": "Selection workbench: items, concordance, coverage, compare (requires comparison), attention, aliases, or paginated manifest/CSL-JSON/BibTeX exports. Exact filters intersect. Coverage measures archive availability. Exports identify this page and dataset snapshot; compare snapshot IDs across pages. Schema discovery: iwac://datasets/{subset}.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"comparison": {
"properties": {
"country": {
"description": "Exact country name (accents optional)",
"type": "string"
},
"date_from": {
"description": "Inclusive date bounds: YYYY[-MM[-DD]]",
"type": "string"
},
"date_to": {
"type": "string"
},
"exact": {
"additionalProperties": {
"items": {
"type": "string"
},
"maxItems": 20,
"minItems": 1,
"type": "array"
},
"description": "AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.",
"propertyNames": {
"type": "string"
},
"type": "object"
},
"hijri_month": {
"type": "string"
},
"hijri_year": {
"type": "integer"
},
"keyword": {
"minLength": 1,
"type": "string"
},
"keyword_aliases": {
"items": {
"minLength": 1,
"type": "string"
},
"maxItems": 12,
"type": "array"
},
"keyword_mode": {
"enum": [
"literal",
"all_terms"
],
"type": "string"
},
"newspaper": {
"description": "Newspaper/periodical substring",
"type": "string"
},
"subject": {
"description": "Exact tag",
"type": "string"
}
},
"type": "object"
},
"limit": {
"default": 20,
"maximum": 50,
"minimum": 1,
"type": "integer"
},
"mode": {
"default": "items",
"enum": [
"items",
"concordance",
"coverage",
"compare",
"attention",
"aliases",
"manifest",
"csl_json",
"bibtex"
],
"type": "string"
},
"offset": {
"default": 0,
"minimum": 0,
"type": "integer"
},
"selection": {
"properties": {
"country": {
"description": "Exact country name (accents optional)",
"type": "string"
},
"date_from": {
"description": "Inclusive date bounds: YYYY[-MM[-DD]]",
"type": "string"
},
"date_to": {
"type": "string"
},
"exact": {
"additionalProperties": {
"items": {
"type": "string"
},
"maxItems": 20,
"minItems": 1,
"type": "array"
},
"description": "AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.",
"propertyNames": {
"type": "string"
},
"type": "object"
},
"hijri_month": {
"type": "string"
},
"hijri_year": {
"type": "integer"
},
"keyword": {
"minLength": 1,
"type": "string"
},
"keyword_aliases": {
"items": {
"minLength": 1,
"type": "string"
},
"maxItems": 12,
"type": "array"
},
"keyword_mode": {
"enum": [
"literal",
"all_terms"
],
"type": "string"
},
"newspaper": {
"description": "Newspaper/periodical substring",
"type": "string"
},
"subject": {
"description": "Exact tag",
"type": "string"
}
},
"type": "object"
},
"subset": {
"default": "articles",
"enum": [
"articles",
"publications",
"documents",
"audiovisual",
"images",
"index",
"references"
],
"type": "string"
}
},
"type": "object"
},
"name": "explore_corpus"
},
{
"description": "Retrieve the full text and metadata of one IWAC item by an id returned from `search` (format '<category>:<number>', e.g. 'articles:28576'). Returns {id, title, text, url, metadata}: `text` is the item's OCR / abstract / transcription / description, `url` is the canonical islam.zmo.de link to cite, and `metadata` holds the remaining fields (author, date, country, newspaper, AI sentiment, …). Categories: articles, publications, references, documents, index, audiovisual, images.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"id": {
"description": "Item id from search, e.g. 'articles:28576' or 'references:11045'",
"type": "string"
}
},
"required": [
"id"
],
"type": "object"
},
"name": "fetch"
},
{
"description": "Get one article (by id): full metadata, the AI abstract (description_ai), AI sentiment, and OCR text, in 25k-char parts (follow `next_offset`). Pass a `keyword` to get ~2000-char excerpts around each match instead.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"article_id": {
"type": "integer"
},
"context_chars": {
"description": "Default 2000, max 5000",
"type": "integer"
},
"keyword": {
"description": "Return excerpts around matches instead of the full OCR (accent-insensitive)",
"type": "string"
},
"max_excerpts": {
"description": "Default 10, max 25",
"type": "integer"
},
"offset": {
"description": "Read from this character on: the previous part's next_offset",
"type": "integer"
}
},
"required": [
"article_id"
],
"type": "object"
},
"name": "get_article"
},
{
"description": "Get one audiovisual record by id: full description and transcription (where one exists), creator/publishing channel, duration, medium, subjects, places, language, rights, source, and three distinct links: `url` (the IWAC page, the one to cite), `external_url` (where a harvested video plays) and `media_url` (a deposited file). `source_type` says which to expect. A long transcription comes in 25k-char parts (follow `next_offset`); `keyword` returns excerpts instead.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"audiovisual_id": {
"type": "integer"
},
"keyword": {
"type": "string"
},
"offset": {
"description": "Read from this character on: the previous part's next_offset",
"type": "integer"
}
},
"required": [
"audiovisual_id"
],
"type": "object"
},
"name": "get_audiovisual"
},
{
"description": "Overall statistics for every IWAC subset, including `fulltext_coverage` — how many items in each subset actually carry searchable full text in this dataset. Read that before treating any keyword count as a full-text census.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {},
"type": "object"
},
"name": "get_collection_stats"
},
{
"description": "Count pairs of metadata values co-tagged on the same items. Matrix/network views show descriptive associations, not causal links. Filters apply before pair counting; top_n caps the vocabulary.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name (accents optional)",
"type": "string"
},
"date_from": {
"description": "Inclusive date bounds: YYYY[-MM[-DD]]",
"type": "string"
},
"date_to": {
"type": "string"
},
"exact": {
"additionalProperties": {
"items": {
"type": "string"
},
"maxItems": 20,
"minItems": 1,
"type": "array"
},
"description": "AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.",
"propertyNames": {
"type": "string"
},
"type": "object"
},
"field": {
"description": "subject (default) | spatial | author | language",
"type": "string"
},
"hijri_month": {
"type": "string"
},
"hijri_year": {
"type": "integer"
},
"keyword": {
"minLength": 1,
"type": "string"
},
"keyword_aliases": {
"items": {
"minLength": 1,
"type": "string"
},
"maxItems": 12,
"type": "array"
},
"keyword_mode": {
"enum": [
"literal",
"all_terms"
],
"type": "string"
},
"newspaper": {
"description": "Newspaper/periodical substring",
"type": "string"
},
"subject": {
"description": "Exact tag",
"type": "string"
},
"subset": {
"description": "articles (default) | publications | references",
"type": "string"
},
"top_n": {
"description": "Values on each axis (default 15, max 30)",
"type": "integer"
}
},
"type": "object"
},
"name": "get_cooccurrence"
},
{
"description": "Compare article counts, newspaper counts, date ranges, and gpt-5-6-luna polarity across countries.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {},
"type": "object"
},
"name": "get_country_comparison"
},
{
"description": "Get one archival document (by id): full metadata, AI description, and OCR text, in 25k-char parts (follow `next_offset`). Pass a `keyword` to get ~2000-char excerpts around each match instead, useful for long documents.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"context_chars": {
"description": "Default 2000, max 5000",
"type": "integer"
},
"document_id": {
"type": "integer"
},
"keyword": {
"description": "Return excerpts around matches instead of the full OCR (accent-insensitive)",
"type": "string"
},
"max_excerpts": {
"description": "Default 10, max 25",
"type": "integer"
},
"offset": {
"description": "Read from this character on: the previous part's next_offset",
"type": "integer"
}
},
"required": [
"document_id"
],
"type": "object"
},
"name": "get_document"
},
{
"description": "Rank exact metadata values, splitting pipe-separated tags. Reports missing metadata and optional coverage over time. Choose spatial for mentioned places, country for stored country tags, or subject/author/language.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name (accents optional)",
"type": "string"
},
"date_from": {
"description": "Inclusive date bounds: YYYY[-MM[-DD]]",
"type": "string"
},
"date_to": {
"type": "string"
},
"exact": {
"additionalProperties": {
"items": {
"type": "string"
},
"maxItems": 20,
"minItems": 1,
"type": "array"
},
"description": "AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.",
"propertyNames": {
"type": "string"
},
"type": "object"
},
"field": {
"description": "subject | spatial | author | language | newspaper | country",
"type": "string"
},
"hijri_month": {
"type": "string"
},
"hijri_year": {
"type": "integer"
},
"keyword": {
"minLength": 1,
"type": "string"
},
"keyword_aliases": {
"items": {
"minLength": 1,
"type": "string"
},
"maxItems": 12,
"type": "array"
},
"keyword_mode": {
"enum": [
"literal",
"all_terms"
],
"type": "string"
},
"newspaper": {
"description": "Newspaper/periodical substring",
"type": "string"
},
"over_time": {
"description": "Also return the per-year share of items carrying a value",
"type": "boolean"
},
"subject": {
"description": "Exact tag",
"type": "string"
},
"subset": {
"description": "articles (default) | publications | references",
"type": "string"
},
"top_n": {
"description": "Values returned (default 25, max 100)",
"type": "integer"
}
},
"required": [
"field"
],
"type": "object"
},
"name": "get_field_distribution"
},
{
"description": "Get one photograph by id: title, photographer, capture date, place and coordinates, subjects, rights, the IIIF manifest, and the full-resolution `image_url`. The server returns URLs, not image bytes.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"image_id": {
"type": "integer"
}
},
"required": [
"image_id"
],
"type": "object"
},
"name": "get_image"
},
{
"description": "Get full details of an index entry by id (raw dataset columns, French names — Titre, Prénom, Coordonnées…).",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"entry_id": {
"type": "integer"
}
},
"required": [
"entry_id"
],
"type": "object"
},
"name": "get_index_entry"
},
{
"description": "Text length, lexical richness and readability by country/newspaper/year. Metrics are precomputed; readability is French-specific and excludes other languages. Missing values are disclosed. Compare distributions as descriptive evidence.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name (accents optional)",
"type": "string"
},
"date_from": {
"description": "Inclusive date bounds: YYYY[-MM[-DD]]",
"type": "string"
},
"date_to": {
"type": "string"
},
"exact": {
"additionalProperties": {
"items": {
"type": "string"
},
"maxItems": 20,
"minItems": 1,
"type": "array"
},
"description": "AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.",
"propertyNames": {
"type": "string"
},
"type": "object"
},
"group_by": {
"description": "year (default) | newspaper | country",
"type": "string"
},
"hijri_month": {
"type": "string"
},
"hijri_year": {
"type": "integer"
},
"keyword": {
"minLength": 1,
"type": "string"
},
"keyword_aliases": {
"items": {
"minLength": 1,
"type": "string"
},
"maxItems": 12,
"type": "array"
},
"keyword_mode": {
"enum": [
"literal",
"all_terms"
],
"type": "string"
},
"newspaper": {
"description": "Newspaper/periodical substring",
"type": "string"
},
"subject": {
"description": "Exact tag",
"type": "string"
},
"top_n": {
"description": "Groups returned when grouping by newspaper (default 20, max 60)",
"type": "integer"
}
},
"type": "object"
},
"name": "get_lexical_metrics"
},
{
"description": "Per-newspaper article counts and date ranges.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Togo (accents optional)",
"type": "string"
}
},
"type": "object"
},
"name": "get_newspaper_stats"
},
{
"description": "Place tags joined to authority coordinates. Separates publication countries from mentioned places; missing geocodes are counted explicitly.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name (accents optional)",
"type": "string"
},
"date_from": {
"description": "Inclusive date bounds: YYYY[-MM[-DD]]",
"type": "string"
},
"date_to": {
"type": "string"
},
"exact": {
"additionalProperties": {
"items": {
"type": "string"
},
"maxItems": 20,
"minItems": 1,
"type": "array"
},
"description": "AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.",
"propertyNames": {
"type": "string"
},
"type": "object"
},
"hijri_month": {
"type": "string"
},
"hijri_year": {
"type": "integer"
},
"keyword": {
"minLength": 1,
"type": "string"
},
"keyword_aliases": {
"items": {
"minLength": 1,
"type": "string"
},
"maxItems": 12,
"type": "array"
},
"keyword_mode": {
"enum": [
"literal",
"all_terms"
],
"type": "string"
},
"newspaper": {
"description": "Newspaper/periodical substring",
"type": "string"
},
"subject": {
"description": "Exact tag",
"type": "string"
},
"subset": {
"description": "articles (default) | publications | references",
"type": "string"
},
"top_n": {
"description": "Geocoded places returned (default 60, max 200)",
"type": "integer"
}
},
"type": "object"
},
"name": "get_place_distribution"
},
{
"description": "Full OCR text of a publication in 25k-char parts (follow `next_offset`), or ~2000-char excerpts around keyword matches (accent-insensitive; capped: see match_count vs excerpts_returned).",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"context_chars": {
"description": "Default 2000, max 5000",
"type": "integer"
},
"keyword": {
"type": "string"
},
"max_excerpts": {
"description": "Default 10, max 25",
"type": "integer"
},
"offset": {
"description": "Read from this character on: the previous part's next_offset",
"type": "integer"
},
"publication_id": {
"type": "integer"
}
},
"required": [
"publication_id"
],
"type": "object"
},
"name": "get_publication_fulltext"
},
{
"description": "Full bibliographic record for one academic reference (by id), including the complete abstract (present for ~51% of references), subjects, DOI/URL, and host-work details (book, volume, issue, pages).",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"reference_id": {
"type": "integer"
}
},
"required": [
"reference_id"
],
"type": "object"
},
"name": "get_reference"
},
{
"description": "Stable-hash sample of matching stored embeddings, projected with PCA. Reports eligible, invalid, missing and capped counts, seed and explained variance. Group counts describe the sample. Coordinates are chart-only; this is not the published UMAP landscape. Needs no API key.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"color_by": {
"description": "country | newspaper | subject | lda_topic_label | polarity (gpt-5-6-luna's label)",
"type": "string"
},
"country": {
"description": "Exact country name (accents optional)",
"type": "string"
},
"date_from": {
"description": "Inclusive date bounds: YYYY[-MM[-DD]]",
"type": "string"
},
"date_to": {
"type": "string"
},
"exact": {
"additionalProperties": {
"items": {
"type": "string"
},
"maxItems": 20,
"minItems": 1,
"type": "array"
},
"description": "AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.",
"propertyNames": {
"type": "string"
},
"type": "object"
},
"hijri_month": {
"type": "string"
},
"hijri_year": {
"type": "integer"
},
"keyword": {
"minLength": 1,
"type": "string"
},
"keyword_aliases": {
"items": {
"minLength": 1,
"type": "string"
},
"maxItems": 12,
"type": "array"
},
"keyword_mode": {
"enum": [
"literal",
"all_terms"
],
"type": "string"
},
"limit": {
"description": "Items projected (default 300, max 2000)",
"type": "integer"
},
"newspaper": {
"description": "Newspaper/periodical substring",
"type": "string"
},
"subject": {
"description": "Exact tag",
"type": "string"
},
"subset": {
"description": "articles (default) | documents | publications | references",
"type": "string"
}
},
"type": "object"
},
"name": "get_semantic_map"
},
{
"description": "Aggregate AI labels over a shared selection. model:\"all\" compares independent annotators and their coverage; model:\"consensus\" reads the stored panel majority. Choose compare_models and agreement_field for pairwise Cohen's kappa and quadratic weighted kappa, with explicit denominators. Labels are interpretations, not ground truth; subjectivity is weak evidence and its caveat must accompany findings.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"agreement_field": {
"enum": [
"polarity",
"centrality",
"subjectivity"
],
"type": "string"
},
"compare_models": {
"description": "Pair of model IDs or aliases; requires model:\"all\"",
"items": false,
"maxItems": 2,
"minItems": 2,
"prefixItems": [
{
"type": "string"
},
{
"type": "string"
}
],
"type": "array"
},
"country": {
"description": "Exact country name (accents optional)",
"type": "string"
},
"date_from": {
"description": "Inclusive date bounds: YYYY[-MM[-DD]]",
"type": "string"
},
"date_to": {
"type": "string"
},
"exact": {
"additionalProperties": {
"items": {
"type": "string"
},
"maxItems": 20,
"minItems": 1,
"type": "array"
},
"description": "AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.",
"propertyNames": {
"type": "string"
},
"type": "object"
},
"hijri_month": {
"type": "string"
},
"hijri_year": {
"type": "integer"
},
"keyword": {
"minLength": 1,
"type": "string"
},
"keyword_aliases": {
"items": {
"minLength": 1,
"type": "string"
},
"maxItems": 12,
"type": "array"
},
"keyword_mode": {
"enum": [
"literal",
"all_terms"
],
"type": "string"
},
"model": {
"description": "gpt-5-6-luna | mistral-small-2603 | deepseek-v4-flash-0731 | gemma-4-31b-it | qwen3-8-27b | all | consensus; default gpt-5-6-luna. Vendor aliases accepted; retired models rejected.",
"type": "string"
},
"newspaper": {
"description": "Newspaper/periodical substring",
"type": "string"
},
"subject": {
"description": "Exact tag",
"type": "string"
}
},
"type": "object"
},
"name": "get_sentiment_distribution"
},
{
"description": "Nearest stored embeddings by cosine similarity. Articles and documents lead with the dataset's published top 10. Scores run high (unrelated ~0.7) and rank reading candidates; >= 0.97 suggests a near-duplicate, but no threshold proves a reprint. Returns source IDs and dates. Corpus-wide candidate generation belongs offline.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"id": {
"description": "Item id — either a bare o:id ('3064') or the namespaced form search returns ('articles:3064')",
"type": "string"
},
"limit": {
"description": "Neighbours returned (default 12, max 50)",
"type": "integer"
},
"min_score": {
"description": "Minimum cosine similarity (-1 to 1)",
"maximum": 1,
"minimum": -1,
"type": "number"
},
"subset": {
"description": "articles (default) | documents | publications | references",
"type": "string"
}
},
"required": [
"id"
],
"type": "object"
},
"name": "get_similar_items"
},
{
"description": "Counts by Gregorian or Hijri year/month, or pooled lunar month. Group by country/newspaper. Partial dates and missing lunar dates are disclosed. normalize_by returns numerator counts and per-bucket denominators in the same country/outlet/date scope, removing thematic filters. Shares describe IWAC holdings.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"calendar": {
"description": "gregorian (default) | hijri — bucket by the Islamic (Umm al-Qura) calendar",
"type": "string"
},
"country": {
"description": "Exact country name (accents optional)",
"type": "string"
},
"date_from": {
"description": "Inclusive date bounds: YYYY[-MM[-DD]]",
"type": "string"
},
"date_to": {
"type": "string"
},
"exact": {
"additionalProperties": {
"items": {
"type": "string"
},
"maxItems": 20,
"minItems": 1,
"type": "array"
},
"description": "AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.",
"propertyNames": {
"type": "string"
},
"type": "object"
},
"granularity": {
"description": "year (default) | month | lunar_month (all years collapsed into 12 lunar months; needs calendar=hijri)",
"type": "string"
},
"group_by": {
"description": "country | newspaper — one distribution per group value",
"type": "string"
},
"hijri_month": {
"type": "string"
},
"hijri_year": {
"type": "integer"
},
"keyword": {
"minLength": 1,
"type": "string"
},
"keyword_aliases": {
"items": {
"minLength": 1,
"type": "string"
},
"maxItems": 12,
"type": "array"
},
"keyword_mode": {
"enum": [
"literal",
"all_terms"
],
"type": "string"
},
"newspaper": {
"description": "Newspaper/periodical substring",
"type": "string"
},
"normalize_by": {
"description": "Share per bucket in the same country/outlet/date scope; searchable restricts both counts to full text. Thematic filters are removed from the denominator.",
"enum": [
"scope",
"searchable"
],
"type": "string"
},
"subject": {
"description": "Exact tag",
"type": "string"
},
"subset": {
"description": "articles (default) | publications | references | documents | audiovisual | images",
"type": "string"
}
},
"type": "object"
},
"name": "get_temporal_distribution"
},
{
"description": "Counts of offline LDA topic assignments, optionally over time. Topic labels are interpretive model outputs; exact topic_id filters select assignments rather than keyword matches. Reports unclassified coverage.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name (accents optional)",
"type": "string"
},
"date_from": {
"description": "Inclusive date bounds: YYYY[-MM[-DD]]",
"type": "string"
},
"date_to": {
"type": "string"
},
"exact": {
"additionalProperties": {
"items": {
"type": "string"
},
"maxItems": 20,
"minItems": 1,
"type": "array"
},
"description": "AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.",
"propertyNames": {
"type": "string"
},
"type": "object"
},
"hijri_month": {
"type": "string"
},
"hijri_year": {
"type": "integer"
},
"keyword": {
"minLength": 1,
"type": "string"
},
"keyword_aliases": {
"items": {
"minLength": 1,
"type": "string"
},
"maxItems": 12,
"type": "array"
},
"keyword_mode": {
"enum": [
"literal",
"all_terms"
],
"type": "string"
},
"min_prob": {
"description": "0-1; keep only assignments at or above this probability",
"type": "number"
},
"newspaper": {
"description": "Newspaper/periodical substring",
"type": "string"
},
"over_time": {
"description": "Also return per-year counts for the leading topics",
"type": "boolean"
},
"subject": {
"description": "Exact tag",
"type": "string"
},
"subset": {
"description": "articles (default) | references",
"type": "string"
},
"top_n": {
"description": "Topics given their own band in over_time (default 8, max 15)",
"type": "integer"
}
},
"type": "object"
},
"name": "get_topic_distribution"
},
{
"description": "List audiovisual materials, newest first (francophone web video from Burkina Faso, Togo and Benin; deposited Nigerian Hausa/Arabic recordings). Filter by country, publishing channel or `source_type`.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional). Burkina Faso, Togo, Benin and Nigeria only — no Niger or Ivorian items",
"type": "string"
},
"limit": {
"description": "Default 20, max 50",
"type": "integer"
},
"offset": {
"type": "integer"
},
"publisher": {
"description": "Substring on the publishing channel/broadcaster, e.g. RTB | AEEM | CERFI",
"type": "string"
},
"source_type": {
"description": "youtube (harvested web video, the large majority) | deposited (recordings with a file, 47)",
"type": "string"
}
},
"type": "object"
},
"name": "list_audiovisual"
},
{
"description": "List lieux from the IWAC index, sorted by frequency (most-referenced first). The optional 'country' filter selects entries that APPEAR IN records from that country (mentioned-in, not located-in), ranked by collection-wide 'frequency' — so foreign and cross-border entries can appear. Nigeria reaches only the few entries its references mention (index frequency counts articles, publications and references; no article is Nigerian).",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional). Selects lieux MENTIONED IN records from that country, not entities located there",
"type": "string"
},
"limit": {
"description": "Default 50, max 200",
"type": "integer"
},
"offset": {
"type": "integer"
}
},
"type": "object"
},
"name": "list_locations"
},
{
"description": "List the Islamic periodical/series titles in the publications subset, with issue counts and year ranges. Use the returned newspaper value as the `newspaper` filter on search_publications.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Togo (accents optional)",
"type": "string"
}
},
"type": "object"
},
"name": "list_periodicals"
},
{
"description": "List personnes from the IWAC index, sorted by frequency (most-referenced first). The optional 'country' filter selects entries that APPEAR IN records from that country (mentioned-in, not located-in), ranked by collection-wide 'frequency' — so foreign and cross-border entries can appear. Nigeria reaches only the few entries its references mention (index frequency counts articles, publications and references; no article is Nigerian).",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional). Selects personnes MENTIONED IN records from that country, not entities located there",
"type": "string"
},
"limit": {
"description": "Default 50, max 200",
"type": "integer"
},
"offset": {
"type": "integer"
}
},
"type": "object"
},
"name": "list_persons"
},
{
"description": "List sujets from the IWAC index, sorted by frequency (most-referenced first).",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"limit": {
"description": "Default 50, max 200",
"type": "integer"
},
"offset": {
"type": "integer"
}
},
"type": "object"
},
"name": "list_subjects"
},
{
"description": "Search the Islam West Africa Collection across newspaper articles, Islamic publications, archival documents, academic references, audiovisual recordings, photographs, and the authority index (persons/places/organisations/events/subjects). Pass ONE concept or name — e.g. 'Tijaniyya', 'laïcité', 'Sheikh Gumi', 'pèlerinage'. Matching is accent- and case-insensitive; a multi-word query requires every word to appear somewhere in the item, so prefer a single concept per call. Write query strings and concept keywords in French for press/publication/document/index discovery even when the user's report language is not French. Academic references are multilingual, so try French and English title/abstract terms when relevant; metadata/filter labels remain French. Use the French transliteration of Islamic terms (Tabaski not 'Eid al-Adha', charia not 'sharia', Maouloud not 'Mawlid'). Returns {results:[{id,title,url,category}], ranking}; each result's `category` names its subset and the `ranking` field documents the ordering. Pass an id to `fetch` to read the full text. For filtered queries (by country, date, or newspaper) use the search_* tools instead.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"limit": {
"description": "Max results across all categories. Default 20, max 50.",
"type": "integer"
},
"query": {
"description": "One concept, name, or short phrase; use French concept terms for primary sources, and French/English terms for references",
"minLength": 1,
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "search"
},
{
"description": "Search IWAC newspaper articles by keyword (title + OCR + AI abstracts, French and English), country, newspaper, subject, and date range. Use French concept keywords regardless of the user's report language. Matching is accent- and case-insensitive.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Togo (accents optional)",
"type": "string"
},
"date_from": {
"description": "YYYY-MM-DD (or YYYY)",
"type": "string"
},
"date_to": {
"description": "YYYY-MM-DD (or YYYY)",
"type": "string"
},
"exact": {
"additionalProperties": {
"items": {
"type": "string"
},
"maxItems": 20,
"minItems": 1,
"type": "array"
},
"description": "AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.",
"propertyNames": {
"type": "string"
},
"type": "object"
},
"hijri_month": {
"description": "Islamic lunar month: 1-12, or a name (Ramadan, Chaabane, Chawwal, Dhu al-Hijja). Pulls the articles behind an observance peak — matches only items with a full YYYY-MM-DD date.",
"type": "string"
},
"hijri_year": {
"description": "Islamic (Umm al-Qura) year, e.g. 1445",
"type": "integer"
},
"keyword": {
"description": "Concept keyword; substring match on title, OCR text, and the French and English AI abstracts. Prefer French for the OCR; an English term still matches via the English abstract",
"type": "string"
},
"keyword_aliases": {
"items": {
"minLength": 1,
"type": "string"
},
"maxItems": 12,
"type": "array"
},
"keyword_mode": {
"enum": [
"literal",
"all_terms"
],
"type": "string"
},
"limit": {
"description": "Default 20, max 100 (10 and 25 with with_description)",
"type": "integer"
},
"newspaper": {
"type": "string"
},
"offset": {
"type": "integer"
},
"subject": {
"type": "string"
},
"with_description": {
"description": "Include each article's ~500-char AI abstract (description_ai) for triage without get_article. Adds ~125 tokens/row, so `limit` defaults to 10 and caps at 25 while this is on.",
"type": "boolean"
}
},
"type": "object"
},
"name": "search_articles"
},
{
"description": "Search audiovisual materials by keyword and metadata: francophone web video from Burkina Faso, Togo and Benin (TV reports, association and campus recordings), plus deposited Nigerian Hausa/Arabic recordings. Keyword matches title, creator, publisher, subject, spatial, language, source, the item's own description (the richest text most of these items have) and its transcription where one exists. Each row says which population it is from (`source_type`) and carries either `external_url` (a video to watch) or `media_url` (a file), never both.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional). Burkina Faso, Togo, Benin and Nigeria only — no Niger or Ivorian items",
"type": "string"
},
"keyword": {
"description": "Substring match across audiovisual title/metadata fields",
"type": "string"
},
"language": {
"description": "Exact language value, e.g. Français | Haoussa | Arabe | Anglais | Mooré",
"type": "string"
},
"limit": {
"description": "Default 20, max 50",
"type": "integer"
},
"medium": {
"description": "Exact carrier medium: Vidéo sur le web | DVD | CD (validated, accents optional)",
"type": "string"
},
"offset": {
"type": "integer"
},
"publisher": {
"description": "Substring on the publishing channel/broadcaster, e.g. RTB | AEEM | CERFI",
"type": "string"
},
"source_type": {
"description": "youtube (harvested web video, the large majority) | deposited (recordings with a file, 47)",
"type": "string"
},
"subject": {
"description": "Exact subject tag — only ~27 rows carry one, so prefer publisher/keyword",
"type": "string"
}
},
"type": "object"
},
"name": "search_audiovisual"
},
{
"description": "Filter articles by gpt-5-6-luna sentiment labels (accent/case-insensitive exact match). One model's reading, not a consensus — 4 other models scored the same articles and often disagree; get_sentiment_distribution with model:\"all\" shows by how much. `subjectivity` is much the weakest of the three scales, so treat a set selected on it as a lead to read rather than as a finding.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"centrality": {
"description": "Très central | Central | Secondaire | Marginal | Non abordé",
"type": "string"
},
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Togo (accents optional)",
"type": "string"
},
"disputed": {
"description": "polarite | centralite | subjectivite — keep only articles the panel SPLIT on for that field (French field names, as stored). Selects contested readings, not a sentiment value.",
"type": "string"
},
"limit": {
"description": "Default 20, max 100",
"type": "integer"
},
"offset": {
"type": "integer"
},
"polarity": {
"description": "Très positif | Positif | Neutre | Négatif | Très négatif | Non applicable",
"type": "string"
},
"subject": {
"type": "string"
},
"subjectivity": {
"description": "Très objectif | Plutôt objectif | Mixte | Plutôt subjectif | Très subjectif — least to most subjective. Unscored where the model answered Non abordé, so this filter also excludes those.",
"type": "string"
}
},
"type": "object"
},
"name": "search_by_sentiment"
},
{
"description": "Search the small archival-documents subset (~26 items: Islamic association reports, flyers, project documents — mostly Burkina Faso). Use French concept keywords regardless of the user's report language. Most have OCR text and an AI description. Call with no arguments to list all.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional). Corpus is mostly Burkina Faso/Togo/Benin",
"type": "string"
},
"keyword": {
"description": "Concept keyword; substring match on title, OCR, the French and English AI descriptions, and subject (accent-insensitive)",
"type": "string"
},
"limit": {
"description": "Default 15, max 50",
"type": "integer"
},
"offset": {
"type": "integer"
}
},
"type": "object"
},
"name": "search_documents"
},
{
"description": "Search the IWAC photographs (30 items: mosques, radio stations, schools, signage and street scenes documented during fieldwork). Keyword matches title, creator, subject, place and the rare caption. Each result carries `image_url` (the full-resolution file), `coordinates` ('lat, lng' where known) and the canonical IWAC page. Call with no arguments to list all. Captions are almost never present, so prefer subject/place filters over keywords, or semantic_search_images when it is enabled.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional)",
"type": "string"
},
"creator": {
"description": "Photographer name (substring match)",
"type": "string"
},
"date_from": {
"description": "YYYY-MM-DD (or YYYY)",
"type": "string"
},
"date_to": {
"description": "YYYY-MM-DD (or YYYY)",
"type": "string"
},
"keyword": {
"description": "French concept keyword; substring match on title, creator, subject, place and caption",
"type": "string"
},
"limit": {
"description": "Default 20, max 50",
"type": "integer"
},
"offset": {
"type": "integer"
},
"spatial": {
"description": "Exact place name, e.g. Ouagadougou (pipe-aware)",
"type": "string"
},
"subject": {
"description": "Exact subject tag (pipe-aware)",
"type": "string"
}
},
"type": "object"
},
"name": "search_images"
},
{
"description": "Search the IWAC authority index (persons, places, organisations, events, subjects) by name. Accent/case-insensitive.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"index_type": {
"description": "Exact type (accents optional), validated against: Personnes | Lieux | Organisations | Événements | Sujets | Notices d'autorité. An unrecognised value returns an error listing the valid types.",
"type": "string"
},
"keyword": {
"description": "Search term matched against the entry title",
"type": "string"
},
"limit": {
"description": "Default 20, max 100",
"type": "integer"
},
"offset": {
"type": "integer"
}
},
"required": [
"keyword"
],
"type": "object"
},
"name": "search_index"
},
{
"description": "Search Islamic publications (periodical issues, books). `keyword` matches title, subject, table of contents, and full OCR text (TOC hits come back as matching_toc_entries); use French concept keywords regardless of the user's report language. Filter by newspaper/series, subject, country and year. Use list_periodicals to discover series titles, and get_publication_fulltext for keyword excerpts from a single issue.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Togo (accents optional)",
"type": "string"
},
"date_from": {
"description": "Earliest year, YYYY",
"type": "string"
},
"date_to": {
"description": "Latest year, YYYY",
"type": "string"
},
"exact": {
"additionalProperties": {
"items": {
"type": "string"
},
"maxItems": 20,
"minItems": 1,
"type": "array"
},
"description": "AND values. Fields: subject/spatial/author/language/country/newspaper/topic_id/min_prob/scored_by; country_raw=whole cell; polarity:<model>.",
"propertyNames": {
"type": "string"
},
"type": "object"
},
"hijri_month": {
"description": "Islamic lunar month: 1-12, or a name (Ramadan, Chaabane, Chawwal, Dhu al-Hijja). Matches only issues with a full YYYY-MM-DD date — ~83% of them.",
"type": "string"
},
"hijri_year": {
"description": "Islamic (Umm al-Qura) year, e.g. 1445",
"type": "integer"
},
"keyword": {
"description": "French concept keyword; substring match on title + subject + table of contents + OCR (accent-insensitive)",
"type": "string"
},
"keyword_aliases": {
"items": {
"minLength": 1,
"type": "string"
},
"maxItems": 12,
"type": "array"
},
"keyword_mode": {
"enum": [
"literal",
"all_terms"
],
"type": "string"
},
"limit": {
"description": "Default 20, max 100",
"type": "integer"
},
"newspaper": {
"description": "Periodical/series title (see list_periodicals)",
"type": "string"
},
"offset": {
"type": "integer"
},
"subject": {
"description": "Subject tag (~87% of issues are tagged)",
"type": "string"
}
},
"type": "object"
},
"name": "search_publications"
},
{
"description": "Search academic references (journal articles, book chapters, theses, books, reports) by keyword and metadata. `keyword` is a single substring match over title + abstract, so search ONE term per call (combined terms like 'pèlerinage Mecque' miss results). References are multilingual: try French and English title/abstract keywords when relevant; metadata/filter values such as `reference_type` and `language` use French labels. Results include a short abstract snippet — use get_reference for the full abstract and bibliographic detail.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"author": {
"type": "string"
},
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional)",
"type": "string"
},
"date_from": {
"description": "Earliest year, YYYY",
"type": "string"
},
"date_to": {
"description": "Latest year, YYYY",
"type": "string"
},
"keyword": {
"description": "One French or English concept keyword; substring match on title + abstract (one term per call, accent-insensitive)",
"type": "string"
},
"language": {
"description": "e.g. Français | Anglais",
"type": "string"
},
"limit": {
"description": "Default 20, max 100",
"type": "integer"
},
"offset": {
"type": "integer"
},
"reference_type": {
"description": "Substring match. Values: Article de revue | Chapitre de livre | Livre | Mémoire de maitrise | Rapport | Thèse de doctorat | Communication scientifique | Compte rendu de livre | Article d'encyclopédie | Mémoire de licence | Article de blog | Working paper. Use the full label for precision — 'Livre' alone also matches 'Chapitre de livre' and 'Compte rendu de livre'.",
"type": "string"
},
"subject": {
"description": "Subject tag (sparse: ~27% of references are tagged)",
"type": "string"
}
},
"type": "object"
},
"name": "search_references"
},
{
"description": "Semantic search over article title + full text, including articles whose OCR is not public. Query in any language. Runs the corpus model, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Togo (accents optional)",
"type": "string"
},
"date_from": {
"description": "YYYY-MM-DD (or YYYY)",
"type": "string"
},
"date_to": {
"description": "YYYY-MM-DD (or YYYY)",
"type": "string"
},
"limit": {
"description": "Default 10, max 50",
"type": "integer"
},
"newspaper": {
"type": "string"
},
"query": {
"description": "Natural-language query, any language",
"maxLength": 8192,
"minLength": 1,
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "semantic_search_articles"
},
{
"description": "Find photographs by describing what they SHOW, in any language ('mosquée en construction', 'street signage in Arabic'). This is cross-modal: the ranking runs against a multimodal embedding of the photograph itself, not against a caption, so it works even though only 2 of the 30 images have one. Runs the corpus model, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional)",
"type": "string"
},
"limit": {
"description": "Default 10, max 30",
"type": "integer"
},
"query": {
"description": "Description of the visual content, any language",
"maxLength": 8192,
"minLength": 1,
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "semantic_search_images"
},
{
"description": "Semantic search over publication tables of contents, present for ~40% of issues (none for An-Nasr Vendredi, 130 of 695 Islam Info issues): use search_publications for the rest. Rows show the first 600 characters of each table. Query in any language. Runs the corpus model, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Togo (accents optional)",
"type": "string"
},
"limit": {
"description": "Default 10, max 50",
"type": "integer"
},
"query": {
"description": "Natural-language query, any language",
"maxLength": 8192,
"minLength": 1,
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "semantic_search_publications"
},
{
"description": "Semantic search over academic references by title + abstract, across languages. Only references with an abstract (about half) are covered; use search_references for the rest. Runs the corpus model, EmbeddingGemma 2, locally with no API key (first use downloads ~350 MB). similarity_score only ranks within one query.",
"inputSchema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"country": {
"description": "Exact country name: Benin | Burkina Faso | Côte d'Ivoire | Niger | Nigeria | Togo (accents optional)",
"type": "string"
},
"date_from": {
"description": "Earliest year, YYYY",
"type": "string"
},
"date_to": {
"description": "Latest year, YYYY",
"type": "string"
},
"language": {
"description": "e.g. Français | Anglais",
"type": "string"
},
"limit": {
"description": "Default 10, max 50",
"type": "integer"
},
"query": {
"description": "Natural-language query, any language",
"maxLength": 8192,
"minLength": 1,
"type": "string"
},
"reference_type": {
"description": "French type label, substring (e.g. Thèse de doctorat)",
"type": "string"
}
},
"required": [
"query"
],
"type": "object"
},
"name": "semantic_search_references"
}
]
}What the leaf hashes
{"body":"95edf743fde321ab0ae4356984b5615549140deede4284c17977425d4d087e0a","id":220873,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793026973004746,"prev":null,"subject":"02be1d0c-6d1c-4239-9c72-a782a9290ced","subject_kind":"endpoint"}Proof
Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).
- 0x6f9733ae504c7bc688fda870151c1de703056d55be645ccb39da8a08f5516b0b
- 0x09dadf6d9aec30b246f0df17793049504a619570022bd96221b1af6a9fb9b482
- 0x05c28abac7c2c52eee34a8ba460b18d595d5fa048ca159ccc3441d0253a07ff3
- 0x3947ca3f30881fa6a6ba57ee697789c88e116f5d254aa9351ec9ef8a7b936c39
- 0x6dbf9ed9a86b5b9c726f8756d3d5f4d26544f54fae8579f9d2f0ba419e517352
- 0xa4c29830b4b0dafbc52536fc27249765d1257c0f1e2e5df3aa778350c38e66e3
- 0x875f0455e2202b419a5ccf5f02f5d58fb9f2b577c8ffd7d2c4f329493f48aab9
- 0x301b4933457feb9b141f4b6dc9598f420736b852c6cb211153da518ff2d21478
- 0x2773a5a6e6f20769dca171f503ffeb524474c482023595e821f47e35181ac53b
- 0xc70d346129c156fcaba34294b762967bcbb4de7a74526ae0ff9df5eeef4e6d37
- 0x83da3d3b0ffc00454b09f0b6f54a0a4bb8b5fabd87854d6bb2d7abda681b5d72
- 0x5be1d69fd9353c3a75685caffea8c98e8f079f5072011c82517cc5f365ba32f8
- 0x14b83e3bc6587240f31cd033d09d131e0775b7b00aada9042597008a70399013
- 0xfc9b5a81a7a83a1c735a4fe64590beb9db14d2366f463161358af28c3ea9a81d
- 0xa2d436d488e3600b0e5c3e3ed9c9234cd52853c59830b786334fd0c4292d9f40
- 0x47b89901b0f07938a6b9a66ddf35683903f79d756a7c7763665fd632758b08d0
- 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
- 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
- 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
- Day root
- 0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
- Chained
- 0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
- Published
- On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae