Trendtracker Connect

Proof points

Indexed documents you can search, chart, and correlate by topic and organization.

Proof points are the underlying records behind Trendtracker signals: patents, news articles, research papers, earnings-call transcripts, PDFs, and grant projects. They come from document indexes, not the knowledge graph.

Use proof points when you need traceability, citations, or document-level filters. For structured deals and company records, use Facts. For grouped real-world events assembled from both, use Manifestations.

Every proof-point dataset exposes the same four shapes:

  • Search — a page of enriched documents (skip / take, max 100).
  • Time series — counts (and sometimes amounts) per time bucket at a resolution of day, week, month, quarter, or year. Every bucket in the requested period is present; a bucket with no proof points has a count of 0. See Release 0.0.5.
  • Correlation matrix — co-occurrence of topics and/or organizations. See Correlation matrix.
  • Top terms — ranked topics or organizations in matching documents. See Top terms.

All of these are POST with a JSON body. Date filters apply to published date.

Shared request fields

FieldPurpose
queryOptional Lucene-lite text search (see below)
topicQuery / gpeQuery / organizationIdsScope to topics, regions (GPE UUIDs), and resolved organizations
languagesISO language codes
sourceIdsRestrict to specific indexed sources
start / endPublished-date window (ISO datetimes)
skip / takeOffset paging; take max 100
sortColumnpublished_at (default) or score
sortDirectiondesc (default) or asc

Query syntax

query is a closed Lucene-lite expression over document text. Unprefixed words run a loose match on title, summary, and body. Use quotes for a phrase, field: to restrict a clause, and uppercase AND / OR / NOT (or -term) to combine them.

ExampleMeaning
lithiumLoose match on title, summary, and body
solid state batteryOne loose multi-word match (not an AND of three terms)
"solid state battery"Phrase match on title, summary, and body
title:lithiumLoose match on title only
title:"solid state battery"Phrase match on title
title:(solid state battery)Loose multi-word match on title
document:"quantum sensing"Phrase match on title, summary, and body
title:"ssb" AND (body:lithium OR summary:anode)Boolean combination
(foo OR bar) bazImplicit AND of already-delimited clauses

Fields: title, summary, body, and document (all three). After field: use one token, one "phrase", or (...). title:solid state is rejected (a field prefix cannot be followed by extra bare tokens). Wildcards (*), fuzzy (~), and boost (^) are not supported. Lowercase and is a search token, not an operator. Unknown foo:bar is treated as a literal token so values like covid-19 stay valid.

Topic query syntax

topicQuery is a Lucene-lite expression whose terms are topic UUIDs, not free text. Consecutive UUIDs are combined with implicit AND. Each UUID matches that topic and its descendants. Quotes and body: are rejected.

topicQueryMeaning
aMentions topic A (or children) anywhere in the document
a OR bFormer topicIds: [a, b]
title:aTopic A in title only
title:a AND summary:bTitle has A and summary has B
a NOT bHas A, excludes B
document:aSame as unprefixed a (all topic mentions)

Fields: title → topics__title, summary → topics__summary, document or unprefixed → topics.

GPE query syntax

gpeQuery uses the same Lucene-lite language as topicQuery, but terms are GPE UUIDs. Consecutive UUIDs are combined with implicit AND. Quotes and body: are rejected. Unlike topics, a GPE term does not expand to child regions — documents already store ancestor GPEs, so querying a country matches a city mention in that country.

gpeQueryMeaning
aMentions GPE A (or an ancestor of the tagged place) anywhere in the document
a OR bFormer gpeIds: [a, b]
title:aGPE A in title only
title:a AND summary:bTitle has A and summary has B
a NOT bHas A, excludes B
document:aSame as unprefixed a (all parent-GPE mentions)

Fields: title → parent_gpes__title, summary → parent_gpes__summary, document or unprefixed → parent_gpes. Resolve IDs with GET /topics. See Release 0.0.4.

Datasets

  • News articles — media coverage; optional mentionsEvents for partnerships and product launches
  • Patents — filings and grants
  • Research articles — scientific publications
  • Earnings calls — transcripts from finance sources
  • PDFs — consulting reports and other PDF documents
  • Projects — grant and R&D projects (replaces grants indicators)

Interactive schemas live in the API reference.

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