Benchmarking three ways to give AI agents web access: read the writeup →
Give your agent structured web data
Start free — 100 calls, no credit card required
What you see
OpenClaw· Control
You
Scan r/SaaS for what founders are posting about right now — I want themes for our marketing.
You2:14 PM
What your agent sees
1
SearchQueued
$ agent-data search
"reddit posts by subreddit"
✓ matched social.feed ·
1 endpoint
2
Read the docsQueued
// social.feed · params
{
"source": "reddit",// required
"subreddit": "r/SaaS",// required
"limit": 12// optional
}
3
Get structured dataQueued
// response
{
"subreddit": "r/SaaS",
"sort": "new",
"returned": 12,
"top": { "theme": "scope creep", "posts": 3 }
}
Works with your favorite agents
Why agent-data
Most websites were designed for humans, not agents
Browser automation is slow and flaky
01Every step requires a screenshot before the agent can decide what to do next.
02Each screenshot and DOM dump burns thousands of tokens.
03One layout change, modal, captcha, or blocked request and the whole run breaks.
Search and scraping return pages, not answers
01Results are links and snippets — homepages, blogs, best-of-lists — not actionable data.
02Live data and recurring jobs require new scraping sessions every time, increasing costs and reducing reliability.
03When data sits behind dynamic UIs, the agent can still be left guessing.
agent-data is purpose built for agents
Agents discover tools at runtime
A smart, embeddings-based search sits on top of every endpoint. Your agent finds the right tool the moment it needs it — instead of carrying dozens of tool schemas in context at all times.
⌕search"round trip flight"
/v1/flights0.94
/v1/reservations0.41
Token-efficient structured results
Responses are structured JSON by default — built for tight token budgets, with cursor pagination where it counts. No HTML, no screenshots, no cleanup step.
{
"offers": [
{ "carrier": "AS",
"price": 259 }
],
"next_cursor":
"eyJvIjoxfQ"
}
An ergonomic surface for agents
Every endpoint ships docs and parameter descriptions written for agents as first-class users.
GET /v1/flights
originIATA code — e.g. "SFO"
dateISO 8601 departure date
max_stops0 = nonstop only
Benchmark
Agents work better with agent-data
One flight-search task. Three ways to get web data. Five runs each, measured end to end.