Moralis daily history

Moralis history

2026-07-20 — AI/agent tooling and MCP/CLI/dev workflow support

• Snapshot status: all monitored pages are first-run baseline; no true previous-day diff available.
• Sources checked: https://moralis.com/, /pricing/, /chains/, /enterprise/, /blog/, https://docs.moralis.com/, https://docs.moralis.com/llms.txt.
• Positioning: "Enterprise-Grade Web3 APIs" with broad data platform messaging: Data APIs, Streams, Datashare, Data Feeds and RPC Nodes.
• AI/agent signal: Main nav/product menu includes "Cortex API — New AI-native, fully LLM-ready crypto data layer". Docs include Ask Assistant, Open in ChatGPT, /llms.txt, and the /llms.txt index references a Cortex OpenAPI file.
• MCP/CLI: No explicit MCP server or CLI workflow surfaced in monitored pages today; AI positioning is API/data-layer-first.
• Enterprise baseline: Emphasizes audit-grade data, unified schemas, real-time and full historical coverage, SOC 2 Type II and enterprise SLAs.
• Chain baseline: Docs overview says 30+ supported chains; homepage/menu says high-performing RPC nodes for all major chains.
• GetBlock implication: Moralis competes less as raw RPC and more as AI-ready data layer. GetBlock content should separate RPC infrastructure from enriched data APIs.

2026-07-21 — Solana / trading latency claims and low-latency infrastructure proof

• Snapshot status: monitored pages unchanged vs last run.
• Sources checked: https://moralis.com/, /pricing/, /chains/, /enterprise/, /blog/, https://docs.moralis.com/. Direct likely Solana URLs returned 403, so Solana-specific detail is limited.
• Latency/trading signal: Monitored pages emphasize real-time monitoring, 100% data delivery guarantee for Streams, high-performing RPC nodes, real-time/historical coverage and enterprise SLAs; no public Solana/trading RPC latency numbers found in captured text.
• Positioning: Competitive wedge remains enriched data APIs/Streams/Data Feeds/Datashare rather than HFT-style RPC latency.
• Pricing/packaging: No diff detected; enterprise still emphasizes SOC 2 Type II, enterprise SLAs and audit-grade data.
• GetBlock implication: Moralis is less direct as a Solana RPC-latency threat; compare against it on raw RPC vs enriched real-time data use cases.

2026-07-22 — Dedicated node customization: regions, methods, binaries, archive/debug, private networking

• Snapshot status: monitored pages unchanged vs last run.
• Sources checked: https://moralis.com/, /pricing/, /chains/, /enterprise/, /blog/, https://docs.moralis.com/. Direct /rpc-nodes/ fetch returned 403.
• Positioning: Enterprise-grade onchain data platform with Data APIs, Streams, Datashare, Data Feeds, Cortex API and RPC Nodes in navigation.
• Customization signal: Captured pages emphasize enterprise data delivery, full historical coverage, audit-grade data, SOC 2 Type II, SLAs and 100% data delivery guarantee for Streams. They do not visibly sell custom dedicated-node regions, binaries, archive/debug or private networking.
• GetBlock implication: Moralis is a data-feed/enriched-data threat, not a primary dedicated-node customization threat in today’s visible sources.

2026-07-23 — Enterprise security/compliance proof: SOC 2, ISO, SSO, RBAC, SLAs, support channels

• Snapshot status: pricing changed vs last run; home/chains/enterprise/blog/docs unchanged.
• Sources checked: https://moralis.com/, /pricing/, /chains/, /enterprise/, /blog/, https://docs.moralis.com/.
• Compliance proof: Captured pages repeatedly state SOC 2 Type II compliant APIs/Data Feeds and enterprise SLAs, aimed at institutions needing audit-grade data.
• Positioning: Security/compliance is tied to Data Feeds, Datashare, real-time/full-historical coverage and data delivery into customer environments rather than raw RPC infrastructure alone.
• Control/support limit: Captured text did not verify SSO, RBAC, MFA, audit logs, dedicated Slack/Telegram or named engineering support.
• GetBlock implication: Against Moralis, separate GetBlock’s RPC/node reliability and enterprise controls from Moralis’ stronger enriched/audit-grade data story.