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Make arbitrary authenticated HTTP calls to configured Analytics provider APIs when first-class actions are too narrow.
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All AI features in Clips โ titles, summaries, chapters, tags, filler-word removal โ delegate to the agent chat via sendToAgentChat except the narrow media pipeline path: transcription. Use when adding any AI-powered feature.
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| name | provider-api |
| description | Make arbitrary authenticated HTTP calls to configured Analytics provider APIs when first-class actions are too narrow. |
Use provider-specific actions for common jobs, but treat them as shortcuts, not limits. When a first-class action cannot express the endpoint, filters, request body, pagination mode, or API version needed, use:
provider-api-catalog to inspect provider base URL, auth style, docs/spec
URLs, placeholders, examples, and reusable corpusRecipes.provider-api-docs to fetch registered provider docs/spec URLs.provider-api-request to make the exact HTTP call. Credentials are injected
server-side, private/internal URLs are blocked, and secrets are redacted.Examples:
pnpm action provider-api-catalog --provider=hubspot
pnpm action provider-api-request --provider=hubspot --method=POST --path=/crm/v3/objects/deals/search --body='{"filterGroups":[{"filters":[{"propertyName":"products","operator":"CONTAINS_TOKEN","value":"Publish"}]}],"properties":["dealname","products","dealstage","closedate"],"limit":100}'
pnpm action provider-api-request --provider=bigquery --method=GET --path=/projects/{projectId}/datasets
Always cite provider, method, path, status, filters, row/sample count, and pagination/coverage gaps in analytical answers.
For source-record body searches across transcripts, messages, tickets, issues, notes, documents, or conversation logs, use the raw body endpoint or native provider search endpoint for that record type. Parent/container metadata such as call lists, titles, summaries, or briefs is discovery evidence only; it cannot support a "no mentions" or complete body-text claim.
Example corpus recipe:
pnpm action provider-corpus-job --operation=start --mode=batch-search --request='{"provider":"gong","method":"POST","path":"/calls/transcript","body":{"filter":{"callIds":[]}}}' --batch='{"inputDatasetId":"<staged-call-id-dataset>","inputValuePath":"id","batchSize":20,"itemBodyPath":"filter.callIds","responseItemsPath":"callTranscripts"}' --search='{"queries":["Figma MCP","model context protocol"],"textPaths":["transcript"],"idPaths":["callId"]}'