AnsemEdge

Turning market narratives into developer APIs.

[AnsemEdge @ansem_edge]

$EDGE is live on @Pumpfun

CA: 6xZXZF4vRacNaHDi5xw4zeewtWXEEb9qz6Y2yFbfpump

[AnsemEdge @ansem_edge]

We have officially transferred 3% of the total $EDGE supply directly to Ansem’s wallet @blknoiz06 .

AnsemEdge is built to transform public crypto commentary into structured, machine readable data streams. Because our core AI engine heavily ingests and processes his market analysis as a primary data root to feed our narrative tracking and sentiment pipeline, this allocation ensures the platform is structurally aligned with the very source of its data.

By sending 3% of the supply directly to the source feeding the pipeline, we are tying the utility of the $EDGE ecosystem directly to the intelligence layer itself.

[AnsemEdge @ansem_edge]

AnsemEdge REST API schema layer is now live.

We’re exposing clean HTTP endpoints that return standard, strongly-typed JSON structures with no custom protocol wrappers or hidden state.

Current schema surface:

GET /api/sentiment
Normalized real-time sentiment index aggregated across monitored market commentary.
GET /api/signals
Structured high-conviction trading signals classified by the core intelligence models.

GET /api/topics
Live clustering of active market narratives and emerging social themes.
GET /api/summary
Automated semantic briefings around catalyst events and sentiment shifts.

Each response is designed to be directly usable by trading apps, dashboards, bots, agents, and research pipelines.
Clean REST endpoints. Typed JSON. Developer-ready narrative intelligence.

AnsemEdge is turning public market commentary into structured infrastructure.

https://t.co/HTbWOBxbw8

[AnsemEdge @ansem_edge]

We’re building the API layer for market narrative intelligence.

The portal gives developers access to normalized real-time sentiment indices, narrative tracking indexes, and high-conviction market alerts synthesized from public crypto commentary streams.

Current stack includes:

• REST endpoints
• WebSocket streams
• API key authentication
• Solana token-gated access
• /api/sentiment
• /api/signals
• /api/timeline
• SDK reference

To unlock premium unlimited API access, wallets must hold 1,000,000 $EDGE.

If balance drops below the threshold, access automatically falls back to the free rate-limited tier.

Raw market commentary → parsed signal layer → developer-ready API.

https://t.co/RB0HZABxL8

[AnsemEdge @ansem_edge]

AnsemEdge Demo video is out .

[Xam @xamvex]

@ansem_edge can u make a demo video ?

that'll help

[AnsemEdge @ansem_edge]

AnsemEdge API Explorer update is live.

GET /sentiment is now available inside the console.

The endpoint retrieves normalized market sentiment signals from public market posts and returns a structured response layer:

{
"sentimentIndex": 0.684,
"label": "Bullish",
"confidenceScore": 0.892,
"sourceCount": 5
}

This gives apps, dashboards, bots, and research tools a clean API layer for reading market conviction without manually parsing noisy timelines.

Raw commentary → normalized sentiment → structured API output.

More endpoints shipping next.

https://t.co/p9bGq7sae3

[AnsemEdge @ansem_edge]

@xamvex we are working on it

[AnsemEdge @ansem_edge]

Programmable market intelligence is now easier to integrate. We’ve published the official, fully typed TypeScript SDK so you can stop writing custom HTTP wrappers and start building.

Quick Setup: Clean, zero overhead initialization with a single line: ⁠npm install ansemedge⁠.

Fully Typed: Complete autocompletion and predictable error handling right out of the box.

Direct Access: Plug real time sentiment scoring, precise asset mention counts, and narrative velocity metrics straight into your trading bots, scripts, or dashboards.

A clean wrapper to stream structured commentary data into your stack instantly.

https://t.co/smAfCYtf87

[AnsemEdge @ansem_edge]

Dex has been paid

[AnsemEdge @ansem_edge]

we spent our weekend building $EDGE .

[Ansem 🐂🀄️ @blknoiz06]

so how was everyone's weekend

[AnsemEdge @ansem_edge]

Dev supply has been locked .
https://t.co/i1OrCBI3hU

[AnsemEdge @ansem_edge]

AnsemEdge is approaching market intelligence by focusing heavily on semantic narrative groups.

Instead of just counting how many times a token name appears, the processing engine is designed to group data based on contextual relevance. This allows the system to capture momentum shifts early:

Semantic Grouping: Isolating broader ecosystem trends like tracking emerging shifts in DePIN, AI agents, or specific layer mechanics before individual asset tickers even start moving.

Velocity Tracking: Measuring the speed and acceleration of a conversation topic, not just its total volume, to separate sustained momentum from temporary noise.

Dynamic Drift: Automatically connecting new market terminology back to its core narrative cluster as developer and trading spaces evolve.

By shifting the focus to narrative clusters, algorithmic systems and trading bots can evaluate macro ecosystem rotations as structured quantitative data, rather than fighting a noisy firehose of individual text posts.

We are continuing to calibrate the engine's clustering precision behind the scenes.

[AnsemEdge @ansem_edge]

Introducing AnsemEdge: Programmable Market Intelligence.

The speed of narrative rotation across crypto commentary channels has outpaced manual analysis. To capture market trends efficiently, sentiment can no longer be tracked passively it must be processed as quantitative data.

AnsemEdge is building the infrastructure to convert real time public commentary into low latency developer streams.

The Core Architecture

The AnsemEdge AI engine is being engineered to continuously aggregate data streams from high
signal social feeds, private rooms, and community boards. The pipeline will:

Normalize Content: Standardize localized market slang and complex crypto terminology into structured data.

Compute Sentiment: Calculate real time sentiment indices and data backed confidence scores.

Expose Infrastructure: Deliver machine readable data streams through low latency REST endpoints and live WebSocket tickers.

Built for Systems & Algorithms

Instead of manually monitoring a timeline, developers, quant funds, and algorithmic traders will be able to plug narrative shifts straight into their data pipelines, trading bots, and portfolio dashboards.

The core infrastructure will focus on:

Sentiment Indexing – Real time sentiment scoring and confidence metrics.

Signal Generation – High
conviction narrative rotation points and trend flags.

Timeline Tracking – Chronological commentary logs annotated with token mapping.

Live WebSocket Gateway – Streaming push data for instant sentiment divergence alerts.

The core engine is currently under active development.