Integration
Connect TimelinesAI to GBIF
When something happens in TimelinesAI, your agent does the next thing in GBIF. Describe it in plain language and the automation is built, tested on every branch and kept running.
Build it
What do you want TimelinesAI and GBIF to do together?
Describe it and your agent reads both APIs, builds the automation, tests every branch and ships it. The list below is what exists today, not the limit.
Ask the assistant
You'll sign in before anything runs. What you typed comes with you.
Or work from Claude Code
Install the APIANT plugin for Claude Code and build, edit, test and read run history from your terminal. Every plan gets this, including free, and it spends no assistant credits.
Connect Claude CodeEverything your agent can do with TimelinesAI and GBIF
Triggers and actions 6 triggers · 9 actions
Trigger
New Incoming ChatTriggers when a new incoming chat is created.
Trigger
New Outgoing ChatTriggers when a new outgoing chat is created.
Trigger
New Received MessageTriggers when a new incoming message is received.
Trigger
New Sent MessageTriggers when a new message is sent.
Trigger
New Uploaded FileTriggers when new uploaded_file is created.
Trigger
New Whatsapp AccountTriggers when new whatsapp_accounts is created.
Action
Send Uploaded File to Existing ChatSends uploaded file to existing chat.
Action
Find datasetsSearch across all datasets registered with GBIF (occurrence datasets, checklists, etc) by query text, type, publishing org, or country. GET https://api.gbif.org/v1/dataset/search?q=&type=&publishingCountry=&limit=&offset=. Returns a paged list of matching dataset summaries (key, title, type, publishingOrganizationKey).
Action
Find occurrencesSearch occurrence records indexed by GBIF using structured filters (scientific name/taxonKey, country, dataset, date range, geometry, basisOfRecord, etc). GET https://api.gbif.org/v1/occurrence/search?q=&taxonKey=&country=&limit=&offset=. Returns a paged list of matching occurrence records (species observations/specimens with location, date, recordedBy, etc). Max 300 records per page, hard offset+limit cap of 100,000.
Action
Find speciesFull-text search over name usages (species/taxa) in the GBIF Taxonomic Backbone and other checklists. GET https://api.gbif.org/v1/species/search?q={query}&rank=&status=&highertaxon_key=&limit=&offset=. Returns paged list of matching name usages (key, scientificName, rank, kingdom, etc).
Action
Get datasetRetrieve full details of a single GBIF-registered dataset by its key (UUID). GET https://api.gbif.org/v1/dataset/{key}. Returns dataset metadata: title, description, type, license, publishingOrganizationKey, doi, citation, etc.
Action
Get occurrenceRetrieve a single occurrence record by its GBIF occurrence id. GET https://api.gbif.org/v1/occurrence/{gbifId}. Returns the full occurrence record: taxonomy, location (lat/lon/country), event date, recordedBy, dataset, media, etc.
Action
Get speciesRetrieve a single name usage (species/taxon) record by its GBIF usage key. GET https://api.gbif.org/v1/species/{usageKey}. Returns full taxonomic details (scientificName, kingdom, phylum, class, order, family, genus, rank, taxonomicStatus, synonym, etc).
Action
Match species nameFuzzy-match a scientific name string against the GBIF Backbone Taxonomy to resolve it to a canonical taxon key. GET https://api.gbif.org/v2/species/match?name={name}&rank=&kingdom=. Returns the best-matching usageKey/scientificName plus a confidence score and match type (EXACT/FUZZY/HIGHERRANK/NONE) — the standard way to resolve a free-text species name into a stable GBIF key.
Action
Parse scientific nameParse one or more free-text scientific name strings into their structured components (genus, specificEpithet, authorship, rank, etc) using GBIF's name parser. GET https://api.gbif.org/v1/parser/name?name={name} (repeat name= for multiple). Returns a list of ParsedName objects — useful for cleaning/normalizing user-entered species names before other lookups.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews