RYTO CONTEXTUAL INTELLIGENCE ryto.pro

Watching the web change over time.

Ryto is a long-polling contextual-intelligence tool. It gives AI agents memory of the live web — not just what a page says, but how it changed to get there.

Most ways of giving an AI agent knowledge of the live web are snapshots: fetch a page, read it, throw it away, fetch it again next time. That's expensive, and it's blind to history — the agent only ever sees what is, never how it got there.

Ryto keeps the time axis. It watches a set of external sources on a respectful cadence and turns every pull into a timestamped point in a series. The current state is always one read away; the trajectory — what changed, when, and by how much — becomes a query, not a rebuild. An agent reasons over a compact timeline of changes instead of re-reading the whole web on every question.

2×/day
Default cadence
respectful, conditional
Δ
Computed per pull
the change, not the page
304
Unchanged = cheap
costs the source nothing
1
Timeline per source
append-only, time-sortable
  1. Check on a schedule. Each source is pulled on a respectful cadence — the platform owns the clock, not an external runner.
  2. Unchanged? Record it cheaply. A conditional request returns "nothing moved," costs the source almost nothing, and writes a single skip metric.
  3. Changed? Capture & diff. Ryto takes an immutable snapshot and computes the difference from the last one.
  4. Append a point. The change lands as a new timestamped entry on the source's timeline — never overwriting history.

Over days and weeks, that timeline becomes the thing an agent actually reasons about: not a wall of HTML re-read from scratch, but a sequence of "here is what was true, and here is what moved."

What an agent reads is not a page — it's a series. One source, watched over time, reduces to a handful of points like these:

Captured Source Change
2026-06-24 06:00 competitor/pricing Pro tier −12%
2026-06-21 18:00 vendor/api-changelog Endpoint deprecated
2026-06-19 06:00 partner/terms Clause 7 reworded
2026-06-17 18:00 target/careers +6 robotics roles
2026-06-15 06:00 dependency/status No change

Each row is one pull. The agent reasons over the column on the right — the change — not the source HTML.

Pricing

Competitor pricing

Snapshot a pricing page twice a day. An agent can answer "their Pro tier dropped 12% three weeks ago" without re-scraping the page itself.

Breaking change

API docs & changelogs

Catch a new endpoint the day it appears, or a deprecation the moment it's announced — and tell an agent exactly which call to migrate.

Compliance

Policy & terms

Know when a vendor's terms changed, with the before/after, so an agent can flag the one clause that actually moved.

Market signal

Hiring signals

Watch a careers page over time; a sudden burst of robotics roles is a trend an agent can reason about, not just a list it re-reads.

Reliability

Status & availability

Track a dependency's status page across weeks to reason about reliability trends — not just the banner showing right now.

What is

The current state of a source, always one read away.

What changed

The trajectory over time, queryable as a series.

Conventional fetch-and-read only ever answers the first question. Ryto answers both, efficiently, so an agent spends its reasoning on the change rather than on re-reading everything that didn't.

Ryto is built on RelayPlex, and is the first consumer of its scheduling-and-control primitive — the scheduled, respectful egress that turns "watch the web over time" into a platform feature instead of an external runner you have to babysit.