Skill v1.0.1

currentAutomated scan100/100

blockrunai/blockrun-mcp/search

+4 new

──Details

PublishedAugust 23, 2026 at 01:23 AM

Content Hashsha256:bac1dbb27e5d3cd1...

Git SHA2c23d5e9d325

Bump Typepatch

Compare with v1.0.0

──Files

Files (1 file, 3.4 KB)

SKILL.md3.4 KBactive

SKILL.md · 96 lines · 3.4 KB

version: "1.0.1" name: search description: Use when the user wants real-time web or news 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"
"news search"

Live Search (Grok)

Real-time web + news search with AI-summarized results and citations. PRICED PER SOURCE and expensive by default: $0.025 × `max_results`, +5% +$0.001 → default 10 settles $0.2635 per call. Best for fresh queries; for semantic / neural research use blockrun_exa instead.

How to Call from MCP

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","news"]`. Default: both. Does NOT multiply price.
`max_results`	no	number	1–50, default 10. Drives the price — ~$0.0263 charged per source. Pass a small number to cap spend; the gateway prices the raw value and does not floor fractions.
`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?"

blockrun_search({ body: { query: "Ethereum ETF approval SEC", sources: ["news","web"], max_results: 8 } })

Cost: ~$0.2110 (8 sources: $0.025 × 8 × 1.05 + $0.001).

2. "What is X saying about Solana's latest outage?"

blockrun_search({ body: { query: "Solana outage today", sources: ["x"], max_results: 15 } })

Cost: ~$0.3948 (15 sources: $0.025 × 15 × 1.05 + $0.001).

3. "Background on Pectra upgrade, last 90 days only"

blockrun_search({ body: {
  query: "Ethereum Pectra upgrade",
  sources: ["web","news"],
  from_date: "2026-02-17"
}})

Cost: $0.2635 (10 sources, the default — verified live).

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 charge $0.526 ($0.025 × 20 × 1.05 + $0.001 — verified live). 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

← v1.0.0 All versions