Social media
Create visual stories, short videos and imagery around an idea your audience can connect with.
Explore Social mediaSearch Xiaohongshu notes, creators and product reviews, and follow topic trends with live data your agent reads through SandBase.

Search Xiaohongshu notes, analyse creators, follow topic trends and study user behaviour through SandBase. For content research, product seeding, creator discovery and competitor monitoring.
Median = 6 saves/day. Excluded D: age one day; E: unknown followers; second B: duplicate ID.
Sensitivity: supplied 25% tray refund fraction gives net receipts 60, fees 4, variable cost 37 and contribution CNY 19 per order.
Fictional example data. … | Query | 阳台种菜 新手, sort general, filter 一周内, pages 1 and 2 | … | Rows read | 40 | … | Distinct notes | 36, all inside the window | | Too recent to rank (< 24 h) | 5 | … | Rank | Topic | Rankable notes | Median saves | Median age (h) | Status | | 1 | 浇水和排水判断 | 6 | 472.5 | 108.5 | ranked | | 2 | 收获展示 | 5 | 430 | 105 | ranked, not briefed: the user's only harvest is two lettuce cuttings | … | – | 阳台虫害处理 | 1 | 110 | 70 | insufficient evidence (2 of 3 notes are under 24 h old) | … Fit: Strong. The user's 8-week log is the evidence this angle needs. … Working title idea: 浇水前先摸土:我的东向阳台8周记录
Capacity: research 20 + two notes × 45 + replies 20 + review 20 = 150 minutes; reserve 30 of 180.
Which part of your desk layout would you like to adjust? Could you describe its use and confirm you can provide photos and a sketch? After we confirm the scope fits, I will send the existing booking details.
Provisional cost for A: 400 + 35 = CNY 435; CNY 165 of the cap remains. Rights fees are unknown; the remaining amount is not permission to reuse or amplify.
这是一段直播前的讲解排练。挑选手冲滤杯时,先确认尺寸、适配滤纸和清洁方式。页面评价可以提示要检查的问题,但不能代替实物检查。今天的价格、库存和配送范围还未确认,所以这段排练不提供购买指令。
We are Fold Meadow. We offer one folding fabric tray for optional testing. No post or positive review is required. If you share it, disclose the gift and write only your actual experience. Would you like the size and material details first?
Fictional sample data. … 办公室桌面绿植清单 (图文, 11 days) | Stage | Value | Baseline median | Peers | Gap | | reach | 4100 | 10000 | 6 | −59% | | open | 13.0% | 12.5% | 6 | +4% | | engagement | 20.1% | 20.4% | 6 | −2% | | follow | 1.13% | 1.31% | 6 | −14% | Candidate bottleneck: reach, 59% below the median of 6 image notes. Once shown, the note was opened and engaged with like its peers; follows were 14% lower, under the 15% threshold. The peers are 8 to 29 days old. … Hypotheses (not causes; the export cannot show why a note was shown less): … Candidate bottleneck: open, 44% below baseline, but the baseline is weak: only 2 mature video notes to compare with.
Fictional sample data. … | Measure | Previous | Current | Change | … | Compared notes (7+ days old) | 6 | 4 | | … | Median age of compared notes (days) | 23.5 | 12 | | … | Follows (total) | 86 | 42 | −51.2% | … | Median follows per view | 1.27% | 1.20% | −5.4% | … The totals do not show a drop in how notes performed. … Confounded (the same notes): 图文 = evening; 视频 = midday = Thursday. … | 2026-11-10 | Tue | 20:30 | 图文 | 暖气房里绿植放哪儿 | keep | | 2026-11-12 | Thu | 20:00 | 视频 | 水培绿萝怎么换水 | test | | 2026-11-14 | Sat | 20:30 | 图文 | 琴叶榕掉叶先查三件事 | keep | Test: video at evening instead of midday. … When: rerun with --as-of 2026-11-20 or later, when the test note is 7 days old (checked with the script).
Fictional example data. … [title] 全网最好喝的桂花乌龙!喝了7天痘痘少一半 … | 1 | 喝了7天痘痘少一半 (title), 痘痘真的少了 (cover), 脸上的痘痘少了一半 (body) | ADL-17, ADL-28 (law); ED-1 (editorial) | None. E2 records no skin effect; E2 says 5 days, not 7 | Must fix | Delete every acne claim. Do not replace it with a milder skin claim | … | 8 | #不是广告 纯自用分享 | ADL-4, ADL-14, IAM-9, GID-3, GID-6 (law) | E1: gifted, commission, product card | Must fix | Replace with a prominent 【广告】 at the start of title and body, and state gift, card and commission | … [title] 【广告】办公室喝了5天的桂花乌龙 … | Shared runs, n = 8 | 1 (longest 19) | 0 (longest 3) | … Rules checked 2026-11-05. This is a pre-publication review, not legal advice or platform approval.

Research local markets by combining Google Maps reviews, Xiaohongshu local content, Weibo discussions, and web search. Covers customer sentiment by location, local competition analysis, neighborhood trends, and location-specific brand perception.

Research products across Amazon, Google Shopping, and Xiaohongshu to understand pricing, reviews, market positioning, and consumer sentiment. Covers competitive product analysis, pricing benchmarks, feature comparison, and customer satisfaction signals.

Aggregate and analyze product and business reviews from Google Maps, Amazon, Akta, and Xiaohongshu. Cross-platform review intelligence including rating patterns, common themes, competitive comparison, and customer satisfaction trends.

Research target audiences across Reddit, Twitter, Instagram, and Xiaohongshu to understand demographics, interests, pain points, language patterns, and content preferences. Produces audience personas backed by real community data.

Monitor brand mentions, sentiment, and reputation across Twitter, Reddit, news, and social platforms through SandBase. Use when asked for brand monitoring, reputation tracking, social listening, PR coverage analysis, or competitive brand intelligence.
Track hashtag performance across Instagram, TikTok, Twitter, and Xiaohongshu simultaneously. Monitors post volume, engagement rates, top contributors, and content patterns for campaign tracking, trend research, and community activation measurement.

Discover and evaluate KOLs (Key Opinion Leaders) and creators across TikTok, Instagram, YouTube, and Xiaohongshu through SandBase. Use when asked for influencer research, creator outreach lists, KOL evaluation, or partnership prospecting.
Search Xiaohongshu notes, creators and product reviews, and follow topic trends with live data your agent reads through SandBase.
Install the Skill in your agent, connect SandBase and name the keywords, creators or products to research on Xiaohongshu.
Start with a task, then explore the possibilities.
Create visual stories, short videos and imagery around an idea your audience can connect with.
Explore Social mediaResearch markets, competitors, pricing and reviews with live data your agent gathers through SandBase.
Explore Market & competitorsCompare the inputs and deliverables before you begin.
| What you have | What to look for | Next step |
|---|---|---|
| A clear brief | Install the Skill in your agent, connect SandBase and name the keywords, creators or products to research on Xiaohongshu. | Browse this collection |
| A connected agent | Install the Skill with its NPX command and connect your agent to SandBase. API calls are billed to your SandBase organization. | Read the Skills guide |
| A different output | Create visual stories, short videos and imagery around an idea your audience can connect with. | Social media |
Copy the NPX command from the Skill page and run it in SandBase Agent, Codex, Claude or Cursor.
Connect your agent to SandBase so the Skill can call its data APIs.
Describe what you need, then check the sources in the output before you use it.
A few things to know before you start.
A set of instructions your agent follows to call SandBase data APIs, such as search, social or business data, and turn the results into a sourced answer.
You need a SandBase account connected to your agent. SandBase API calls are billed to your SandBase organization.
SandBase Agent, Codex, Claude and Cursor. Each Skill page lists its supported agents and the install command.