Dropspace

list your launches with pagination

create a new launch for publishing to social platforms

get a launch by ID with posting status per platform

update a launch (cannot update running/completed/partial launches)

delete a launch (cannot delete running launches)

publish a launch to all configured platforms (queued async)

retry failed platforms for a launch. by default every failed platform is retried; pass `subreddit` to retry ONE reddit destination (leaving its siblings — succeeded or failed — untouched), and add `account_id` when that destination belongs to a secondary connected reddit account rather than your primary.

generate AI content for a launch's platforms using Claude

get publishing analytics with per-post engagement metrics (likes, views, shares, etc.). metric fields vary by platform: facebook reports reactions, likes (mirroring reactions.total), comments and shares - it has no impressions or reach, and facebook story metrics are unavailable. an instagram story reports views, reach, replies and frames only while it is live (24 hours, no backfill); under 5 viewers it returns story_insights_withheld instead of numbers

get cached analytics for multiple launches in one request (no live refresh, max 100 IDs)

get detailed posting status with per-platform logs

retry AI content generation for failed platforms (requires generate scope)

Delete a single published post from its platform. Only works for Twitter, Facebook, LinkedIn, Reddit, and YouTube. Instagram and TikTok do not support API deletion.

Delete all published posts for a launch from their platforms. Only deletes from Twitter, Facebook, LinkedIn, Reddit, and YouTube. Instagram and TikTok posts are skipped (require manual deletion).

list your personas with pagination

create a new persona for AI content generation tone/style

get a persona by ID with analysis details and writing samples

update a persona's name or writing samples

delete a persona

trigger AI analysis of a persona's writing style (queued async)

commit a persona's pending analysis after review (the analyzed voice becomes usable)

discard a persona's pending analysis without committing (preserves any previously saved analysis)

list your connected social media accounts. each row has a "platform" and an "entity_id" (null for your primary account on that platform, set for additional accounts). to target a specific account in create_launch when you have more than one on instagram / tiktok / youtube / twitter / reddit, pass "{platform}:{entity_id}" as a user_platform_accounts key (the bare "{platform}" key targets your primary). the same entity_id is what disconnect_connection and retry_launch take as account_id

edit the connected account's profile ON the platform. youtube only today: sets the channel description (max 1,000 characters; an empty string clears it) via channels.update. instagram's api can read a profile but not write it, facebook page "about" needs a permission dropspace does not hold, and tiktok / x / linkedin expose no profile write - those return an error with the reason. requires the write scope.

check which platforms have a connected dropspace official account (requires read scope)

無需輸入參數。

get your current plan, usage limits, and billing period (requires read scope)

無需輸入參數。

machine-readable release history (public) - version, date, type, summary, migration notes on breaking entries. the X-Notice header's structured backstory.

無需輸入參數。

submit an AI image or video generation job for a launch. Returns 202 with a job_id; poll get_media_job for completion. Requires generate scope. script_video requires platform=instagram|tiktok and prompt is required (not just product_description). video and script_video only support 16:9 and 9:16 aspect ratios.

poll the status of a media generation job. Returns the result_url when complete.

get autopilot status: config, queued ideas, and drafts pending review. autopilot is the autonomous content engine that drafts and schedules posts nightly (pro/premium plans).

無需輸入參數。

create or update the autopilot config. merge semantics: only the fields you send change. enabling requires at least one platform with a connected account.

list autopilot drafts awaiting approval (review mode). each item is a draft launch - approve, reject, or edit it via update_launch first.

approve an autopilot draft - schedules it for publishing (a stale scheduled date rolls forward to the next posting slot).

reject an autopilot draft - deletes it and refunds the launch slot. optional feedback teaches future runs what to avoid.

trigger a manual autopilot run immediately instead of waiting for the nightly run. steps already completed today are skipped (limited to 2 per hour).

無需輸入參數。

recent autopilot run history - one row per run step (refresh_insights, generate_blueprints, schedule_slots) with stats and errors.

list actionable recommendations computed from your organic post performance: winners to repost, cross-post, or boost, autopilot promote signals, and underperformer pause signals. dropspace sweeps post metrics every 30 minutes and compares each post to your own per-platform baseline.

apply a recommendation's one-click action. repost_winner and cross_post create a DRAFT launch seeded with the winning content (nothing publishes until scheduled); boost_winner creates a PAUSED meta boost and requires ad_account_id (activation, and therefore spend, is a separate step); promote_winner queues the winner into autopilot; pause_underperformer adds a standing directive to the autopilot config.

dismiss a pending recommendation so it stops showing everywhere.

follower counts + growth for every connected instagram / youtube / tiktok / twitter account and facebook page. one entry per ACCOUNT, not per platform: "entity_id" is null for your primary account on a platform and set for each additional one, so a user with two instagram accounts returns two instagram entries. counts come from each platform's official API and are cached for 15 minutes. youtube works differently: each youtube read spends a shared daily quota, so while you keep reading a creator's audience, their youtube count is refreshed in the background about once an hour, and an on-demand read re-fetches at most every 6 hours if that refresh is delayed; if the daily quota is exhausted, a youtube read returns the most recent successful count instead of null. "current.captured_at" is always when that count was actually read from the platform, never when it was served: use it to judge freshness. "series" is the stored history; youtube history is kept for 30 days (youtube's API storage limit), so youtube growth reaches back about 30 days whatever window_days says, while other platforms keep full history. growth is measured from the OLDEST stored point inside the window, which — because history points are recorded when you read, at most one per account per day — can be much younger than window_days: read "effective_window_days" (the span the delta actually covers) and "baseline_captured_at" before comparing growth across accounts. linkedin is not covered (its API exposes no personal-profile follower count). set include_instagram_insights to add instagram growth analytics to each instagram entry: follows, unfollows, net, and reach split into followers and non-followers per pacific-time day (the last 7 days are settled: false because instagram still revises them), followers_over_time (an estimate rebuilt back from the current count), weekly velocity with a trend, non_follower_reach_share, and contact-button taps. it reads up to 31 days per call, newest first, so a long