mantle-data-indexer

Name: mantle-data-indexer
Availability: InStock
Author: Mantle

Query Mantle historical data via GraphQL or SQL with UTC time boundaries.

4|3|Updated Mar 12, 2026

Search Tags:#indexing #graphql #data #sql #historical #mantle #wallet-activity

Ready to run

npx skills add https://github.com/mantle-xyz/mantle-skills --skill mantle-data-indexer-mantle-xyz

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: mantle-data-indexer
Source: https://github.com/mantle-xyz/mantle-skills/tree/main/skills/mantle-data-indexer
Command: npx skills add https://github.com/mantle-xyz/mantle-skills --skill mantle-data-indexer-mantle-xyz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Traditional Mantle data access relies on raw RPCs, which can be slow, opaque, and hard to audit. Mantle Data Indexer offers reproducible GraphQL or SQL queries with explicit time boundaries and provenance to answer historical questions efficiently.

Core Features & Use Cases

Reproducible historical queries over Mantle wallet activity, protocol analytics, and event data.
Time-bound analysis with absolute UTC boundaries and explicit relative-to-absolute conversions.
Source attribution and deterministic pagination to ensure traceability and stable results.

Quick Start

Query Mantle wallet activity for a fixed window with absolute UTC timestamps and export the results with provenance.

Frequently Asked Questions about mantle-data-indexer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I query historical Mantle wallet activity without using slow RPC calls?▼

You can query historical Mantle wallet activity using reproducible GraphQL or SQL queries with explicit time boundaries and provenance, replacing slow and opaque ad-hoc RPC calls. This ensures traceable and efficient data retrieval.

What is the best way to backfill Mantle event data with deterministic ordering?▼

The best way to backfill Mantle event data is using reproducible queries with absolute UTC timestamps and deterministic pagination. This approach guarantees stable results and clear source attribution for historical protocol analytics.

Can I use relative time windows for Mantle protocol analytics queries?▼

Yes, you can use relative time windows for Mantle protocol analytics. The indexer applies explicit relative-to-absolute timestamp conversions, ensuring all time-bound analysis operates within clear, absolute UTC boundaries for reproducibility.

Does the Mantle data indexer support time-windowed metrics for protocol analytics?▼

Yes, the Mantle data indexer supports time-windowed metrics for protocol analytics. It enforces absolute UTC boundaries and deterministic ordering, providing reproducible historical data queries with clear source attribution.

Why should I use indexed Mantle data queries instead of raw RPCs?▼

You should use indexed Mantle data queries instead of raw RPCs because raw RPCs can be slow, opaque, and hard to audit. Reproducible queries offer explicit time boundaries, source attribution, and deterministic pagination for reliable historical analysis.

What are the limitations when querying historical Mantle data?▼

Historical Mantle data queries are limited by read-only indexer constraints and require absolute UTC timestamps. You must use deterministic ordering and pagination with source attribution to ensure stable and traceable query results.