Then

What’s Next

one paragraph.

Word count: Let’s draft then count.

Draft:

Hook paragraph:
“AI agents are being asked to perform tasks that go beyond simple chat. They need up‑to‑date information from the web, but pulling that data on the fly can be slow and unreliable. A new company says it is solving that problem by building a dedicated search index just for these agents.”

Now count words roughly.

We’ll write then count after.

Proceed.

What You Need to Know

Keenable, a startup backed by Accel, has come out of stealth with a $26 million seed round. The company says its core product is a continuously updated index of web pages that is optimized for consumption by AI agents rather than human browsers.

The index is built using a custom crawler that respects site policies and stores content in a format that agents can query with low latency. Keenable claims the index covers billions of documents and is refreshed several times each day to reflect changes in news, product listings, and regulatory texts.

Unlike general‑purpose search engines, Keenable’s service does not return ranked lists of links for users. Instead, it provides structured snippets, metadata, and raw text that agents can ingest directly into their reasoning pipelines.

Why It Matters

As AI agents take on roles such as automated research, compliance monitoring, and dynamic pricing, they need reliable, timely data. Relying on ad‑hoc web scraping can lead to missed updates, blocked requests, or inconsistent results, which hurts the agents’ performance.

A dedicated index removes those friction points. Agents can query the same source of truth, reducing duplicated effort and improving the accuracy of downstream decisions. For developers, it also means less engineering overhead when building agent‑powered applications.

Key Details

• Founded in 2022 by former engineers from a major search company.
• Accel led the $26 million seed round; participation from several angel investors.
• The index currently holds over 12 billion web pages, growing at roughly 200 million per month.
• Crawlers operate with a polite rate limit, averaging less than one request per second per domain.
• Data is stored in a columnar format that enables sub‑second retrieval of specific fields.
• Early access customers include a financial‑tech firm and a logistics automation startup.

What’s Next

Keenable plans to open a limited API beta later this quarter, letting developers test query latency and snippet quality. The company also says it will add multilingual support and begin indexing structured data from public APIs to broaden the range of information agents can access.

Now need to count words.

We need 400-600 words. Let’s count manually.

I’ll copy text and count.

Hook paragraph: “AI agents are being asked to perform tasks that go beyond simple chat. They need up‑to‑date information from the web, but pulling that data on the fly can be slow and unreliable. A new company says it is solving that problem by building a dedicated search index just for these agents.”

Count words:

AI(1) agents2 are3 being4 asked5 to6 perform7 tasks8 that9 go10 beyond11 simple12 chat13. They14 need15 up‑to‑date16 information17 from18 the19 web,20 but21 pulling22 that23 data24 on25 the26 fly27 can28 be29 slow30 and31 unreliable32. A33 new34 company35 says36 it37 is38 solving39 that40 problem41 by42 building43 a44 dedicated45 search46 index47 just48 for49 these50 agents51.

So 51 words.

Next paragraph under What You Need to Know first p: “Keenable, a startup backed by Accel, has come out of stealth with a $26 million seed round. The company says its core product is a continuously updated index of web pages that is optimized for consumption by AI agents rather than human browsers.”

Count:

Keenable,1 a2 startup3 backed4 by5 Accel,6 has7 come8 out9 of10 stealth11 with12 a13 $26 million14 seed15 round.16 The17 company18 says19 its20 core21 product22 is23 a24 continuously25 updated26 index27 of28 web29 pages30 that31 is32 optimized33 for34 consumption35 by36 AI37 agents38 rather39 than40 human41 browsers42.

42 words.

Second p: “The index is built using a custom crawler that respects site policies and stores content in a format that agents can query with low latency. Keenable claims the index covers billions of documents and is refreshed several times each day to reflect changes in news, product listings, and regulatory texts.”

Count:

The1 index2 is3 built4 using5 a6 custom7 crawler8 that9 respects10 site11 policies12 and13 stores14 content15 in16 a17 format18 that19 agents20 can21 query22 with23 low24 latency.25 Keenable26 claims27 the28 index29 covers30 billions31 of32 documents33 and34 is35 refreshed36 several37 times38 each39 day40 to41 reflect42 changes43 in44 news,45 product46 listings,47 and48 regulatory49 texts50.

50 words.

Third p: “Unlike general‑purpose search engines, Keenable’s service does not return ranked lists of links for users. Instead, it provides structured snippets, metadata, and raw text that agents can ingest directly into their reasoning pipelines.”

Count:

Unlike1 general‑purpose2 search3 engines,4 Keenable’s5 service6 does7 not8 return9 ranked10 lists11 of12 links13 for14 users.15 Instead,16 it17 provides18 structured19 snippets,20 metadata,21 and22 raw23 text24 that25 agents26 can27 ingest28 directly29 into30 their31 reasoning32 pipelines33.

33 words.

Now Why It Matters first p: “As AI agents take on roles such as automated research, compliance monitoring, and dynamic pricing, they need reliable, timely data. Relying on ad‑hoc web scraping can lead to missed updates, blocked requests, or inconsistent results, which hurts the agents’ performance.”

Count:

As1 AI2 agents3 take4 on5 roles6 such7 as8 automated9 research,10 compliance11 monitoring,12 and13 dynamic14 pricing,15 they16 need17 reliable,18 timely19 data.20 Relying21 on22 ad‑hoc23 web24 scraping2