Launch sentiment sweep

A launch sentiment sweep reads out how Reddit and X reacted to a launch, release, or announcement in one pass: volume, representative quotes, themes, and the accounts driving the conversation.

Recipe#

  1. A small test sweep runs free: mint a key (POST /v1/keys/mint, no body) under a shared budget of 200 credits per IP per day. A real two-platform sweep needs more; buy a key at /upgrade, checkout credits the same key.
  2. reddit_search with type: "posts" and range set to the launch window, then a second pass with type: "comments", sort: "new" for reactions buried inside other threads, usually the more honest signal. Cost: 6 credits per query page.
  3. x_search with type: "recent" for the chronological sweep and type: "popular" for the highest-engagement takes. Cost: 6 credits per page.
  4. reddit_get_post: batch-fetch bodies of the threads with the most signal, up to 100 ids per call, first 10 included in the base price. Cost: 4 credits per batch; detail: "full" (one id, whole comment tree) adds 4 credits.
  5. x_get_profile for the 2-3 accounts whose takes are driving the conversation. Cost: 4 credits each.

Veezee returns raw posts, comments, and tweets, never a sentiment score; your agent reads the text and judges tone itself.

Total cost#

36 credits for two Reddit searches, two X searches, one batch body fetch, and two account profiles.

Limits worth knowing#

Run it#

Platform docs: /docs/reddit and /docs/x. Full reference: /docs.

Installable skill: the launch-sentiment-sweep pack teaches your agent this whole job. Install every pack with npx skills add veezeehq/veezee-skills (/docs/skills).