Pay per result, not per token.
Most “deep research” tools only skim the surface. CatchAll flips the stack — prioritizing coverage, metadata enrichment, and precision validation before LLM reasoning.
Ranking-first tools return 10–20 results per query. For enumeration tasks, you're left with a sample — not a dataset.
Regional press, trade publications, regulatory filings — most of the web never surfaces in standard results.
Token-based pricing punishes thorough searches. The more coverage you need, the more you pay — even for noise.
Built on NewsCatcher’s proprietary web index, CatchAll turns scattered web signals into complete datasets that don’t exist anywhere else.
Built for retrieval, not browsing. Every query returns events, not pages.
>2M
Real-world events indexed daily
<hrs
To index new events
Time-series aware
The real world moves in events. Our index captures them in sequence.
Step 01
Query planning
Query rewritten into multiple retrieval prompts covering different phrasings and event types.
Step 02
50,000+ pages scanned per job at ~10,000 pages/min.
Step 03
Related pages grouped into single event records using the Leiden algorithm.
Step 04
Each cluster scored by LLM validators against your query. Irrelevant clusters dropped.
Step 05
One JSON object per event, with source citations and dynamic schema.
CatchAll finds 3x more relevant events than Exa Websets, Parallel AI FindAll, and OpenAI Deep Research.
CatchAll finds 3× more relevant events than Exa Websets, Parallel AI, and OpenAI Deep Research.
| Metric |  CatchAll |
 Exa Websets |
 Manus 1.6 |
 Parallel AI |
 OpenAI o3 |
|---|---|---|---|---|---|
| F1 Score | 0.705★ | 0.317 | 0.104 | 0.103 | 0.017 |
| Precision | 0.632 | 0.837★ | 0.594 | 0.777 | 0.486 |
| Recall | 0.798★ | 0.196 | 0.057 | 0.055 | 0.009 |
| Uniqueness % | 85.5% | 18.5% | 89.2%★ | 77.6% | 33.7% |
| Query Wins | 27/32★ | 3/32 | 0/32 | 2/32 | 0/32 |
★ Best in category · Observable universe: 6,025 unique TPs across 32 queries · March 2026
CatchAllExa WebsetsManus 1.6Parallel AI CoreOpenAI o3CatchAllExa WebsetsManus 1.6Parallel AI CoreOpenAI o3Most AI search tools bill per token — compute cost that scales regardless of what you find. CatchAll charges only when an event clears validation. No match, no charge.
$0.10
per validated record
Base mode
2,000
credits free on signup
no card required
Define a query once. CatchAll re-runs it on your schedule — hourly, daily, or weekly — and delivers only new, deduplicated events since the last run.
Attach a named entity list to any job. The full web gets scanned for any mention. Results are filtered and scored by relevance to your list before delivery.
Build complete datasets
Structured, verifiable records from scattered web signals.
Ground AI agents in complete data
Agents on incomplete search miss 80–90% of relevant events.
Eliminate compliance blind spots
79.8% observable recall across regulatory, risk, and supply chain events.
Structured output
Events extracted, deduplicated, and cited. Structured JSON, ready to use.
No. They are separate products with separate API keys and endpoints. CatchAll is a web search API focused on real-world events. News API is a general news search API for enterprise customers only.
Yes, there's a free tier. You get 2,000 credits upon sign up + 10 searches per month. Beyond that, you need to upgrade to a paid plan.
You're billed per valid record returned, not per API call. Zero results means zero charge. Lite mode is billed per job at a fixed 100 credits, returning up to 100 results.
Lite mode returns results in seconds. Base mode typically takes around 15 minutes. Jobs show as "pending" while processing.
Use the formula: event type + time window + optional scope. Example: "Series A funding announcements in Europe over the past 30 days." More specific queries return better results.
Yes. CatchAll indexes international sources and may return results in multiple languages. Add language filters in the context field for English-only results.
Monitors is a feature of CatchAll — it reruns your search automatically on a schedule.
A Monitor handles the date windowing, deduplication, and delivery. You get a clean feed of new records — no infrastructure to maintain.
Hourly.
Yes. Attach a dataset with your entity list to scope results to specific companies. Watchlist scoring applies to every run.
Yes. Disable pauses execution without removing configuration or history. Re-enable to resume on the same schedule.
Watchlist is a feature of CatchAll — it scopes your search to a list of companies you choose.
No. Alerts send links. Watchlist returns deduplicated event records, filtered to your companies and scored for relevance.
Any page where a tracked entity is confirmed relevant by the validator. Entity resolution, not keyword matching.
LLM validator scores each result 1–10 against your entity list. 7+ is typically high relevance.
Yes. One list across all jobs and monitors. Update once.
Yes. Name variants, aliases, and non-English spellings handled by default.
See what you've been missing.
You can clean data. You can't materialize missing data.
