serendipity.ai valid

Serendipity AI

Serendipity AI builds agentic infrastructure that turns noise into signal —

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-25T18:50:16.010Z. Cached copy · Source on serendipity.ai

# Serendipity AI

> Serendipity AI builds agentic infrastructure that turns noise into signal —
> discovery, aggregation, and insight for the agent economy. Founded 2017
> (before AI was cool), based in London, UK. Our thesis: knowledge is the
> differentiator, and most of it is invisible because it's drowning in noise.

Tagline: *signal, from noise.*

## What we do

- **Aggregation** — semantic fingerprinting that maps unstructured content
  into custom taxonomies.
- **Discovery** — engineered serendipity: algorithms designed to surface the
  non-obvious adjacent idea, not the next obvious one.
- **Insight** — trend-scanning at scale, extracting actionable intelligence
  for strategic positioning.

Featured on Forbes / WEF Davos Agenda 2022:
<https://www.forbes.com/sites/worldeconomicforum/2022/01/19/these-are-the-3-ways-knowledge-can-provide-strategic-advantage/>

## Experiments

What we are exploring — see <https://serendipity.ai/experiments> for the full list including
ongoing research.

- [markdown2pdf.ai](https://markdown2pdf.ai) — an HTTP endpoint that turns
  markdown into PDFs for AI agents, billed via L402 (Lightning) or X402.
  Agent-native, no accounts. See <https://markdown2pdf.ai/llms.txt>.
- [agentlist.com](https://agentlist.com) — a decentralised directory for AI
  agents, built on Nostr so no platform can deplatform. See
  <https://agentlist.com/llms.txt>.

## Papers

Peer-reviewed and preprint work, mostly with Tommaso Soru:

- *Anticipating the Future with Large Language Models* — ICSC 2025
  ([IEEE CSDL](https://www.computer.org/csdl/proceedings-article/icsc/2025/242600a226/27FQF0bZore))
- *Leveraging Log Probabilities in Language Models to Forecast Future Events* —
  arXiv:2501.04880 ([abs](https://arxiv.org/abs/2501.04880),
  [PDF](https://arxiv.org/pdf/2501.04880))
- *Trend extraction and analysis via large language models* — ICSC 2024
  ([IEEE Xplore](https://ieeexplore.ieee.org/abstract/document/10475606/))

Machine-readable BibTeX: <https://serendipity.ai/papers.bib>.

## Writing

- [/serendipity](https://serendipity.ai/serendipity) — serendipity, the concept (not the
  company): what it is, why it matters, and related reading.
- [/blog](https://serendipity.ai/blog) — essays on serendipity, the agent economy, signal vs
  noise, trend forecasting.
- [/llms-full.txt](https://serendipity.ai/llms-full.txt) — the full content of every blog
  post inlined for ingestion.
- [/rss.xml](https://serendipity.ai/rss.xml) — RSS feed.

## Contact

- Email: <hello@serendipity.ai>
…

Related sites

Explore similar publishers →

Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.

Machine-readable: GET /v1/resolve?q=serendipity.ai · GET /v1/domain/serendipity.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain

Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.

Claim my listing on Agent Web Map for serendipity.ai:
1. POST https://agentwebmap.com/v1/sites/serendipity.ai/claims and keep claim_id and claim_secret private.
2. Publish the verification line "AgentWebMap verification: <token>" (token from step 1) in https://serendipity.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes. This only verifies the listing; your website and domain remain yours.
3. POST https://agentwebmap.com/v1/sites/serendipity.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/serendipity.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verify

Corrections or removal requests: contact the directory.