Use when the user wants real-time web, news, or X/Twitter results with AI-summarized answers and citations — Grok Live Search via BlockRun. Cheapest path for "what just happened" questions where freshness beats neural-semantic ranking.
Scanned 5/27/2026
Install via CLI
openskills install BlockRunAI/blockrun-mcp---
name: search
description: Use when the user wants real-time web, news, or X/Twitter results with AI-summarized answers and citations — Grok Live Search via BlockRun. Cheapest path for "what just happened" questions where freshness beats neural-semantic ranking.
triggers:
- "live search"
- "grok live"
- "what just happened"
- "real time news"
- "breaking news"
- "today's news"
- "search with citations"
- "cited search"
- "x search"
- "twitter search"
- "news search"
---
# Live Search (Grok)
Real-time web + X/Twitter + news search with AI-summarized results and citations. **$0.025 × `max_results`** (default 10 → $0.25 per call). Best for *fresh* queries; for semantic / neural research use `blockrun_exa` instead.
## How to Call from MCP
```ts
blockrun_search({ body: {
query: "what's the consensus on the Fed's next move",
sources: ["web", "news"],
max_results: 10
}})
```
## Body Shape
| Field | Required | Type | Notes |
|---|---|---|---|
| `query` | yes | string | Natural-language search query |
| `sources` | no | string[] | Subset of `["web","x","news"]`. Default: all three. Does NOT multiply price. |
| `max_results` | no | number | 1–50, default 10. **Drives the price** at $0.025 each. |
| `from_date` | no | string | `YYYY-MM-DD` lower bound on result date |
| `to_date` | no | string | `YYYY-MM-DD` upper bound |
## When to Reach for Which Source
| User intent | `sources` setting |
|---|---|
| Breaking news / today's headlines | `["news"]` |
| What's the CT / KOL sentiment on X | `["x"]` |
| Backgrounder / explainer / docs | `["web"]` |
| General "find current info" question | omit — defaults to all three |
## Worked Examples
### 1. "What's the latest on the ETH ETF approval timeline?"
```ts
blockrun_search({ body: { query: "Ethereum ETF approval SEC", sources: ["news","web"], max_results: 8 } })
```
**Cost: $0.025 × 8 = $0.20.**
### 2. "What is X saying about Solana's latest outage?"
```ts
blockrun_search({ body: { query: "Solana outage today", sources: ["x"], max_results: 15 } })
```
**Cost: $0.025 × 15 = $0.375.**
### 3. "Background on Pectra upgrade, last 90 days only"
```ts
blockrun_search({ body: {
query: "Ethereum Pectra upgrade",
sources: ["web","news"],
from_date: "2026-02-17"
}})
```
**Cost: $0.025 × 10 (default) = $0.25.**
## search vs exa — Pick the Right Tool
| Use case | Tool |
|---|---|
| "What's happening *right now*?" — freshness matters | `blockrun_search` |
| "Find the canonical paper on X" — semantic relevance matters | `blockrun_exa` |
| "Pull the full text of these 5 URLs" — content fetch | `blockrun_exa` `contents` |
| "Cited answer to a question" | both work; `blockrun_exa answer` is grounded in pre-indexed corpus, `blockrun_search` searches the live web |
## Notes
- Returns AI-summarized text + a list of sources with URLs. The summary is one paragraph; sources let you drill in.
- **Price is per result, not per source.** `max_results: 20` with one source or three sources both cost $0.025 × 20 = $0.50. Pass a smaller `max_results` to cap spend.
- Date filters are strict — results outside the window are dropped, not down-ranked.
## Reference
- Endpoint: `POST /v1/search`
- Upstream: xAI Grok Live Search
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