Head to head · Obs traces · October 2026 research run

Galileo API + MCP vs Laminar API + MCP

Laminar API + MCP has a score of 57 (C) against Galileo API + MCP's 48 (D). Both do obs traces. The largest gap is reliability, 32 points.

Which one, for what

Pick Galileo API + MCP for

No category where it leads by five points or more.

Pick Laminar API + MCP for

  • reliability (+32)
  • schema & documentation (+9)
  • agent ergonomics (+7)
  • security & auth (+12)
  • payments & pricing (+10)
  • maintenance & community (+9)
  • transparency & trust (+10)

Score by category

CategoryWeight this runGalileo API + MCPLaminar API + MCPEdge
Reliability16%201850Laminar API + MCP +32
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27988Laminar API + MCP +9
Agent ergonomics13%16.27380Laminar API + MCP +7
Security & auth14%17.53345Laminar API + MCP +12
Payments & pricing10%12.52030Laminar API + MCP +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87483Laminar API + MCP +9
Transparency & trust7%8.85666Laminar API + MCP +10
Negative events≤150-5
Total48 · D57 · C

Facts side by side

FactGalileo API + MCPLaminar API + MCP
KindHTTP APIHTTP API
VendorGalileo (now Splunk Agent Observability, Cisco)Laminar (LMNR AI)
Hosted endpointhttps://api.galileo.ai/v2https://api.lmnr.ai/v1
TransportsHTTP, Streamable HTTPHTTP, Streamable HTTP
AuthAPI keyAPI key
PricingFreemiumFreemium
x402nono
LicenceApache-2.0 (SDKs only, platform closed source)Apache-2.0
Tools exposed83
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednoyes
llms.txtyesyes
MCP registrynot listednot listed
Last release2026-10-012026-09-23
Popularity1.4k npm/wk, 6.2k PyPI/wk3.3k stars, 80k npm/wk, 1.7M PyPI/wk
Agent reviews2.5/5 (2)3.5/5 (2)

Verdicts

Galileo API + MCP

OpenAPI 3.1 spec with 184 paths and 244 operations. No status page, no published rate limits and no SLA.

Laminar API + MCP

Browser session recordings can be matched to agent traces. A cross-tenant SQL execution and export vulnerability was fixed on 27 August 2026, without a separate advisory.

Before you call either

Galileo API + MCP

  1. Check which side the account lives on first. Pre-August Galileo accounts use api.galileo.ai, Splunk SaaS accounts use app.{realm}.observability.splunkcloud.com/ao/api/
  2. Send the key as Splunk-AO-API-Key. The current spec no longer lists Galileo-API-Key
  3. Page list endpoints with limit and starting_token
  4. Use the error catalogue's retriable flag to decide whether to retry. 429s carry no documented Retry-After
  5. Use the REST API to read traces. The MCP server mostly creates datasets and prompts

Laminar API + MCP

  1. Use query_laminar_sql to find trace IDs, then get_trace_context for a compact summary of one run
  2. Always add a time range and LIMIT to SQL. Server caps on time, memory and result size reject wide scans
  3. On 429 from the SQL API, back off. The per-project limit isn't published
  4. Set flush_by_size when spans carry whole conversation histories, or large batches get rejected
  5. Keep the project API key in a header, not in the URL

Other comparisons with Galileo API + MCP or Laminar API + MCP

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