purefeed（purefeed 搜索）

Purefeed

API Base: https://purefeed.ai/api/v1 Auth: Authorization: Bearer $PUREFEED_API_KEY

Output Rules

Follow these rules for EVERY response that includes tweet data:

1. Format ALL screen names as clickable links: [@screen_name](https://x.com/screen_name). Never output plain @screen_name.
2. Format ALL tweet references as clickable links: [Tweet](https://x.com/screen_name/status/tweet_id).
3. Include view count with eye emoji: 👁 81K.
4. Sort by views or engagement descending unless user requests otherwise.

Example output line:

[@CryptoAyor](https://x.com/CryptoAyor) 👁 81K — detailed thread about $JELLY manipulation

Setup

1. Get API key at purefeed.ai/profile → Public API Keys → Create Key
2. Set it: openclaw config set skills.purefeed.env.PUREFEED_API_KEY "pf_live_YOUR_KEY"
3. Verify: curl -s https://purefeed.ai/api/v1/auth/me -H "Authorization: Bearer $PUREFEED_API_KEY"

Tool Dependencies

list styles ──→ styleId ──→ generate post
list signals ──→ signal_id ──→ get/update/delete signal, get signal matches
list folders ──→ folder_id ──→ get/create/rename/delete folder, add/remove tweets
get feed / search / signal matches ──→ tweet_ids ──→ generate post / get signal insights
generate post ──→ draft text ──→ humanize post ──→ publish / schedule / draft / queue

Always list styles before generating a post. Always list signals before signal-specific calls.

How to Find Tweets by Topic

Follow this exact sequence when the user asks "what's new about X?" or "find tweets about Y".

Step 1 — Find a matching active signal

GET /signals?search=TOPIC&active=true

The search parameter uses semantic/vector search — search=ai finds "Artificial intelligence", "AI Research", etc. If empty, try broader terms or GET /signals?active=true to see all active signals.

Step 2 — Get matches from that signal

GET /signals/{id}/matches?limit=20

Signal matches are the primary data source. They include AI-generated analysis (sentiment, category, insights). Do NOT skip to feed search.

Step 3 — Fall back to feed search ONLY if no signal found

GET /feed?limit=20&search=TOPIC
POST /search → {"query": "topic description", "limit": 20}

Step 4 — Filter feed by signal IDs (optional)

GET /feed?signal_ids={id1},{id2}&limit=20

Use signal IDs from Step 1 (GET /signals).

Workflows

Find and share tweets

1. Find tweets using the strategy above
2. GET /styles — pick a writing style
3. POST /studio/generate — generate post from tweet IDs + styleId
4. POST /studio/humanize — if score ≤ 30 use as-is, if > 30 use rewrite
5. POST /studio/publish — publish to X

Set up monitoring

1. POST /signals — create signal with name + description + tags + color + cron + timezone (auto-activates)
2. Wait up to 6 hours for processing
3. GET /signals/{id}/matches — check results
4. PUT /signals/{id} — refine description if too many irrelevant matches

First run

1. GET /auth/me — verify API key
2. GET /styles — cache writing styles
3. GET /signals — see signal configurations
4. GET /folders — see bookmark folders

Key Concepts

• Signal: AI content detector with a name + description. Active if signals_subscriptions is non-empty; inactive if []. When creating: always set tags and color, never set include_keywords unless user explicitly asks (they are very restrictive).
• Writing Style: Named instruction set for post generation. Must call GET /styles to get valid styleId before generating.
• Typefully: Publishing backend. Required for publish/schedule/draft/queue. If not connected, tell user to set it up in Purefeed settings.

Error Handling

API Reference

Read API_REFERENCE.md for full endpoint documentation, parameters, curl examples, and response shapes.

All endpoints return { "data": ..., "error": null } on success and { "data": null, "error": { "message": "...", "code": "..." } } on error. Streaming endpoints return text/plain.

Endpoint Summary

Rate Limits

• 60 requests/minute per API key
• Streaming endpoints count as 1 request each
• 429 responses include Retry-After header