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Documentation Index

Fetch the complete documentation index at: https://docs.exorde.io/llms.txt

Use this file to discover all available pages before exploring further.

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What this is

Exorde Intel is an API that turns public web and social data into structured narrative intelligence. You ask questions — what is trending, what is being said, which entities dominate, who is coordinating — and get JSON answers in milliseconds. It is built for teams that cannot afford to watch feeds all day: brand protection, threat intel, strategic comms, OSINT, disinfo research, market surveillance.

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What you get

  • Real-time trending terms, volume timeseries, and narrative summaries across curated and custom topics.
  • Conversation clusters and named-entity leaderboards with evidence: drill from any aggregate down to the raw posts.
  • Watchlists — define your own keyword, phrase, entity, or domain scopes. Full analytics mirror topic analytics.
  • Alert subscriptions — push volume spikes, coordination signals, and sentiment shifts to any webhook.
  • Editorial reports — curated weekly intelligence products on Know tier.
  • A typed error envelope and stable rate-limit headers across every endpoint.

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Start here

  • Quickstart — mint a trial key and make your first call in 60 seconds.
  • Tiers and Quotas — what Watch, See, and Know each unlock.
  • Use cases — copy-paste recipes for brand monitoring, crisis detection, disinfo tracking.
  • API reference — full OpenAPI with try-it.

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How it is organised

The API has three tiers. Each tier inherits everything below it.
TierForUnlocks
WatchAwareness — executive dashboards, status pages, marketingTrending, volume, narrative summary, alerts
SeeInvestigation — analysts, journalists, researchersClusters, entities, search, platforms, evidence posts, custom watchlists
KnowIntelligence — threat intel, gov, strategic teamsEditorial reports, watchlist cluster analytics, larger lookback windows
A free 7-day Watch-tier trial is one POST /v1/keys/trial away.

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How the data is produced

Every number in the API is backed by a deterministic pipeline:
  1. Public web and social data is collected continuously across platforms (Mastodon, Bluesky, Reddit, RSS, forums, news, and more).
  2. Posts are embedded, clustered, and enriched with entities, sentiment, emotion, language, and coordination signals.
  3. Narratives are summarised per topic on rolling windows.
  4. Volume baselines are learned per topic per hour-of-week, so spikes are measured against expected behaviour.
Everything in the API is an aggregate over this pipeline — with evidence endpoints that let you drill from any aggregate down to the underlying posts for verification. See Status for current ingestion rate and per-stream freshness.

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Support