大爱 AI 商机

Direct Conclusion

• Direct answer: DeepSeek today opened standalone Search and Fetch APIs. Whether it’s worth pursuing depends on whether you can find a type of person who manually looks up the same information every week. First run a sample industry report all the way through, then ask 3–5 practitioners whether they’d pay for a neatly packaged result.
• Whether to act: Validate at small scale first — pick only one vertical you know well; don’t build a general-purpose tool yet.
• Validate first: Produce a shareable sample report, show it to target users, and watch for whether anyone asks about the price or requests specific field changes.
• When to stop: If none of 5 target users express any willingness to pay, or the actual API cost exceeds what buyers can accept, stop immediately.

Today’s Main Pick

Validate — Help a Specific Type of Small-Industry Practitioner Turn Their Weekly Research into a Structured Report

DeepSeek today, in its official documentation, opened standalone Search and Fetch APIs that no longer require a bundled model call. This makes a “targeted crawl + structured output” implementation path more direct. Whether anyone will pay for it remains an unvalidated hypothesis.

• Evidence and confidence: Medium. DeepSeek official documentation: confirms that two independent JSON endpoints — Search and Fetch — are live, with pricing and query-parameter details — $0.75 per 1,000 successful requests, with support for site, language, and date filtering. Gap: the candidate inputs for this edition include no real user payment records; willingness to pay is an unvalidated hypothesis.

• Target pool and manual workaround: Unvalidated hypothesis — small-industry practitioners in procurement, product sourcing, competitor monitoring, and similar fields may be manually searching fixed keywords every week and copy-pasting results into summaries. Whether this pain point is frequent enough and whether they’d pay for a pre-packaged version needs to be confirmed through interviews.

• Minimum deliverable: “Auto-generated weekly report package for [industry]” — ① call the Search API with specified keywords and a date range; ② use Fetch to extract the body text of key pages as Markdown; ③ organize results into a structured weekly report containing source, summary, and date; ④ deliver: one viewable sample report + a rerunnable parameter spec. Not included: model-based polishing, charts, or automatic scheduled delivery. Buyers can verify: whether the format is clear and whether source links open.

• 48-hour validation: First, pick a vertical yourself and run the full pipeline, logging failure points and actual API costs (record actual time spent — don’t fabricate it). Then send this sample to 3–5 practitioners in that industry, ask how they currently collect similar information, and ask whether they’d pay for a report like this every week. Watch for whether anyone asks “how much?” or “can you add a certain field?”

• First sale and repeat business: Test pitch: “I’ll automatically compile a weekly [industry] market report for you in a fixed format you can use directly.” First-sale scope: 3–5 keywords, one time window, up to 20 results, plain-text delivery — not including custom filtering or model-based analysis; price to be tested by the seller. If a buyer accepts, this can be built into a recurring subscription — 4 times per month — with marginal cost declining once query-parameter templates are in place. Repeat-purchase potential exists, but must be validated first.

• Risks and stopping: Compliance risk is low — you’re calling your own API key with no account resale involved. Delivery risk is medium: Fetch success rates depend on target-site structure; some pages may return empty content, which must be disclosed in the delivery spec. Stop conditions: all 5 target users show no willingness to pay; actual API cost exceeds what buyers will accept; or you discover that mature tools already cover the same scenario in the target industry.

This Week’s Small Test

Validate Whether There Is Demand from Independent Developers for a ruflo Multi-Agent Framework Run-Through Record

• Evidence source: ruflo official repository: confirms the project code and multi-agent coordination framework feature description exist
• Target pool: Unvalidated hypothesis — independent developers or small teams currently building multi-agent workflows who are stuck at the configuration stage may be willing to pay for a “battle-tested run-through package.”
• Minimum deliverable: Run the ruflo minimal example locally and produce a run-through record: environment requirements, failure points, success screenshots, actual time spent. Buyers can verify: whether they can reproduce it by following the instructions.
• 48-hour validation: Complete the run-through record as a sample first, then send the sample to 3–5 developers currently researching agent frameworks, ask whether they’d pay for this record, and watch for whether anyone asks about the price.
• Why this is only a small test: The developer-tool-setup delivery family has appeared multiple times this week; ruflo currently has only GitHub Trending as its evidence base. If the run-through process surfaces licensing or commercial-use restrictions, those need to be clarified before further investment.
• Stop conditions: Unable to reproduce the run reliably in a test environment; none of 5 developers express willingness to pay; or ruflo’s license terms explicitly restrict commercial delivery.

Don’t Touch Today

36kr report: The AI investment story of a journalist turned hundred-billion-dollar tycoon — no verifiable official product or source project link, no reproducible delivery path; skip for now.

Today’s Three Steps

• Confirm today: Open the DeepSeek official documentation and verify the actual availability and billing rules for the Search and Fetch endpoints.
• Build today: Run the Search API once against keywords from the vertical you know best, and organize the results into a sample report you can screenshot and share.
• Price-test today: Send the sample to 3 practitioners in that industry, ask how they currently gather this type of information, and ask whether this format would be useful to them.