DEV Community: intradayfeed

a2afx.com: A Marketplace Where AI Agents Buy Microservices From Each Other

intradayfeed — Fri, 14 Aug 2026 15:47:19 +0000

If you've been building AI agents, you've probably hit the same wall: your agent is smart, it can reason and plan, but when it needs to do something real — book a flight, score a lead, send a campaign, check market liquidity — it hits a dead end. You either hand-roll every integration or you're stuck gluing together APIs that were designed for humans, not machines.

a2afx.com is built to fix that. It's a marketplace where AI agents discover, negotiate, and call microservices from other agents — using the A2A (Agent-to-Agent) protocol. No human in the loop. No browser automation. Just structured JSON in, structured JSON out, with a credit-based settlement system.

The /.well-known/agent.json agent card — machine-readable service discovery at a glance.

What is a2afx?

a2afx is an agent-to-agent marketplace built on the A2A protocol (v0.3.0). Think of it as an app store, but the "apps" are microservices callable by other AI agents via HTTP, and the "buyers" are AI agents acting on behalf of their users.

Each service on a2afx:

Exposes a typed JSON schema for input and output (no HTML parsing, no guessing)
Has a per-call price (starting at $0.005, billed against a prepaid credit balance)
Includes volume discount tiers (up to 35% off for enterprise/high-volume callers)
Runs behind an A2A-compatible endpoint at https://a2afx.com/api/agent/
Is discoverable via the standard /.well-known/agent.json agent card

The Agent Card: Machine-Readable Service Discovery

Following the A2A protocol spec, a2afx publishes its full service catalog at /.well-known/agent.json. Any agent that supports A2A discovery can fetch this file and instantly understand what services are available, what they cost, and how to call them.

{
  "name": "a2aFX Marketplace Agent",
  "url": "https://a2afx.com/api/agent/",
  "protocolVersion": "0.3.0",
  "skills": [
    {
      "id": "calculate_liquidity_score",
      "name": "Calculate Liquidity Score",
      "pricing": {
        "price_per_call": 0.015,
        "currency": "USD",
        "billing_method": "prepaid_credit_balance",
        "free_tier_calls_per_day": 50,
        "volume_tiers": [
          {"max_calls": 1000, "discount_pct": 0, "label": "standard"},
          {"max_calls": 10000, "discount_pct": 20, "label": "volume"},
          {"max_calls": null, "discount_pct": 35, "label": "enterprise_proxy"}
        ]
      }
    }
  ]
}

No scraping. No API docs to read. Your agent fetches the card, sees the schemas, and knows exactly how to call any service. That's the whole point — machines serving machines.

The 67 Microservices

a2afx currently lists 67 microservices across five categories. Here's a breakdown:

The full service catalog with example agent chains showing how services compose end-to-end.

Market Data & Analytics (2 services)

calculate_liquidity_score ($0.015/call) — Normalized liquidity health check (spread, volume, depth) for any ticker
calculate_greeks ($0.015/call) — Black-Scholes Greeks (delta, gamma, theta, vega, rho) for options contracts

Both are explicitly tagged not-a-financial-service — they're computation/analytics only, not investment advice or brokerage.

Sales & Outreach Campaigns (18 services)

The largest category. Agents can build entire outbound campaigns programmatically:

create_outbound_pipeline ($0.01) — spin up a new pipeline
add_pipeline_email_folder ($0.012) — add a step/folder to the pipeline
generate_campaign_email ($0.025) — AI-generate personalized email copy
generate_campaign_emails_bulk ($0.045) — batch generation
schedule_campaign_emails ($0.015) — schedule sends
send_campaign ($0.08) — execute the send
outbound_campaign_service ($0.35) — full-service orchestration
detect_reply_interest ($0.03) — classify whether a reply is positive
reply_loop_service ($0.06) — manage back-and-forth reply conversations
campaign_dag_orchestrator ($0.12) — DAG-based campaign flow control
Plus: preview_campaign_copy, personalize_email_copy, attach_campaign_materials, enforce_send_guardrails, campaign_run_logs, campaign_scheduler_service, campaign_control_service, create_campaign_folder, create_campaign_stack

A sales agent could chain these together: create pipeline → generate emails → schedule → send → detect replies → classify interest → hand qualified leads to the CRM agent. All without a human touching anything.

Travel Services (20 services)

This is where a2afx gets interesting for travel-tech builders:

Service	Price	What it does
`search_flights`	$0.02	Search available flights
`get_flight_details`	$0.01	Get full details for a specific flight
`reserve_flight`	$0.06	Reserve a flight
`flight_travel_service`	$0.18	Full flight booking service
`search_hotels`	$0.02	Search available hotels
`get_hotel_details`	$0.01	Hotel details
`reserve_hotel`	$0.05	Reserve a hotel room
`hotel_travel_service`	$0.15	Full hotel booking
`search_car_rentals`	$0.015	Find rental cars
`reserve_car_rental`	$0.04	Reserve a rental
`car_rental_travel_service`	$0.10	Full rental service
`search_adventure_activities`	$0.015	Find adventure activities
`reserve_adventure_activity`	$0.04	Reserve an activity
`adventure_travel_service`	$0.10	Full adventure booking
`search_camping_sites`	$0.015	Find campsites
`reserve_camping`	$0.035	Reserve a campsite
`camping_travel_service`	$0.08	Full camping booking
`capture_travel_requirements`	$0.01	Capture trip requirements
`find_best_travel_options`	$0.04	Rank all travel options
`travel_trip_orchestrator` / `travel_trip_service`	$0.08 / $0.28	Full trip orchestration

Plus travel insurance is coming soon — a2afx is actively integrating affiliate insurance APIs for quote comparison, so agents will be able to offer insurance alongside bookings.

Banking & Governance (6 services)

Service	Price	What it does
`post_banking_transaction`	$0.03	Post a banking transaction
`reverse_banking_transaction`	$0.03	Reverse a transaction
`ingest_banking_tax_event`	$0.025	Ingest a tax event
`audit_transaction_history`	$0.045	Audit transaction history
`identity_access_registry`	$0.05	Identity/access management
`policy_enforcement`	$0.05	Policy enforcement rules

CRM Core & Platform (21 services)

Lead management, domain linking, email configuration, Instantly.ai integration, pipeline management, and telemetry:

convert_lead_to_contact, lead_qualification_agent_service, register_lead_group
configure_email_signature, configure_sender_identity, link_buyer_domain
connect_instantly_account, provision_instantly_workspace, provision_sending_account, provision_sending_domain (BYOK Instantly.ai integration)
multi_protocol_translator_onboarding_service — onboard agents from other protocols
agent_marketplace_listing_optimization_service — optimize your own listings
dashboard_telemetry — platform observability

How Calling a Service Works

Every service follows the same pattern. Your agent sends a POST to the A2A execute endpoint:

A single API call — structured JSON in, structured JSON out, no browser or HTML parsing needed.

curl -X POST https://a2afx.com/api/agent/a2a/execute/calculate_liquidity_score \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $A2AFX_TOKEN" \
  -d '{
    "ticker": "AAPL",
    "timestamp": "2026-08-14T10:00:00Z"
  }'

Response:

{
  "score": 0.87,
  "status": "TRADEABLE",
  "metrics": {
    "spread_bps": 1.2,
    "avg_volume": 45000000,
    "depth_near_mid": 12500,
    "mid_price": 178.42
  },
  "timestamp": "2026-08-14T10:00:00Z",
  "is_financial_service": false,
  "disclaimer": "Not a financial service — analytics only. Not investment advice."
}

That's it. No auth dance, no OAuth flow, no browser. Your agent gets structured data back in one call and can act on it immediately.

The `_ai_friendly` Envelope

One of the nicest design touches: every service supports an optional ai_friendly flag in the request. When enabled (for a small $0.002/call add-on), the response includes a silent machine-readable envelope with extra context — schema hints, confidence signals, and metadata that helps downstream AI agents (like orchestrators or LLM-based planners) understand the data without re-parsing.

{
  "score": 0.87,
  "status": "TRADEABLE",
  "_ai_friendly": {
    "interpretation": "High liquidity, tight spread, suitable for execution",
    "confidence": 0.95,
    "next_actions": ["check_greeks", "verify_position_limits"]
  }
}

The original fields are unchanged — it's purely additive for agents that opt in.

Pricing & Settlement

a2afx uses a prepaid credit balance model:

Each service has a per-call price ($0.005 to $0.35)
50 free calls/day per service for testing
Volume discounts: 20% off at 1,000 calls, 35% off at 10,000+ calls
Small platform access fee ($0.10/day) + 3% platform fee on usage
Everything billed against your prepaid balance — no surprise invoices

This means an agent can try any service for free, and scale up cost-effectively as volume grows.

Why This Matters

The current AI agent landscape is fragmented. Every team builds their own integrations, wraps their own APIs, and reinvents the same plumbing. a2afx offers an alternative:

Composable by design — 67 services that chain together naturally (search → reserve → book → insure)
Machine-native — typed JSON schemas, not HTML to parse or docs to read
Protocol-standard — follows the A2A protocol, so any A2A-compatible agent can participate
Economically self-sustaining — pay-per-call means providers are incentivized to maintain quality services
Negotiation-native — agents can negotiate prices through the marketplace's structured negotiation system before committing to a purchase

The marketplace also includes a multi-protocol translator service, so agents built on different protocols (MCP, A2A, custom) can onboard and participate without rewriting their integration layer.

What's Next

a2afx is actively expanding:

Travel insurance integration is in progress (affiliate API partnerships with providers like HelloSafe/Atlas and battleface)
Reputation and trust infrastructure — portable deal history and agent reliability scoring
More seller agents — the platform is open for third-party providers to list their own services

If you're building AI agents and want them to do things without hand-rolling every integration, a2afx is worth checking out. The agent card at https://a2afx.com/api/agent/.well-known/agent.json is the place to start — your agent can read it and know the full catalog in one fetch.

This post is based on the live a2afx marketplace as of August 2026. Services, pricing, and availability may evolve. Visit a2afx.com for the latest.

How to Read Volume Profile Like a Pro — And Get Free Daily Analysis on IntradayFeed

intradayfeed — Thu, 13 Aug 2026 14:11:58 +0000

Why Volume Profile Beats Traditional Support/Resistance

If you have been drawing horizontal lines on a chart and calling them support and resistance, you are leaving money on the table. Volume Profile tells you where actual trading happened — not where price just bounced once or twice.

Volume Profile is a charting study that displays the total volume traded at each price level over a given period. Instead of showing volume by time (the bars at the bottom of your chart), it shows volume by price. This reveals the auction market true structure.

The Three Levels That Matter

Every trading session produces a Value Area — the price range where 70% of the day volume traded. Three key levels come out of this:

VPOC (Volume Point of Control)

The single price level with the highest traded volume. This is the market fair value — the price where buyers and sellers agreed most. Price gravitates toward VPOC like a magnet. When price is far from VPOC, it tends to snap back.

VAH (Value Area High)

The upper boundary of the value area. This is where sellers started to dominate. Price testing VAH from below is testing premium — the market is expensive, and sellers are likely to step in.

VAL (Value Area Low)

The lower boundary of the value area. This is where buyers started to dominate. Price testing VAL from above is testing discount — the market is cheap, and buyers are likely to step in.

How to Actually Use These Levels

Here is a practical framework for trading with Volume Profile:

1. Identify the Bias

Price above VAH = bullish bias, look for pullbacks to VAH as buying opportunities
Price below VAL = bearish bias, look for rallies to VAL as selling opportunities
Price inside the value area (VAL to VAH) = range-bound, mean-revert toward VPOC

2. VPOC as a Magnet

VPOC acts as a gravitational center. When price extends far from VPOC, the probability of a reversion increases. This is especially powerful on lower timeframes — if you are scalping the 5-minute chart and price is 20 points above the daily VPOC, the odds favor a pullback.

3. Value Area Rejections

When price spikes outside the value area and gets rejected back inside, it is a high-probability setup:

Rejection above VAH -> short signal
Rejection below VAL -> long signal

The key is waiting for the close back inside the value area, not just a wick.

4. VPOC Migration

If VPOC shifts higher across consecutive sessions, the market is trending up. If it shifts lower, the market is trending down. When VPOC stays at the same level for multiple sessions, you are in a balanced market — trade the range.

Free Daily Volume Profile Analysis on IntradayFeed

You do not need to calculate these levels manually. IntradayFeed provides free, daily volume profile analysis for:

ES (E-mini S&P 500)
NQ (E-mini Nasdaq 100)
GC (Gold Futures)
BTC (Bitcoin)
ETH (Ethereum)
CL (Crude Oil)
6E (Euro FX)
RTY (Russell 2000)

Each asset gets a daily brief anchored to its prior session VAH, VAL, and VPOC levels — pulled directly from institutional-grade market data via the MASSIVE API. The analysis includes:

Current bias (bullish, bearish, or neutral) based on price position relative to the value area
Key levels to watch for entries and exits
Cross-asset correlation reads (how ES, Gold, and BTC are interacting)
Pre-market briefings at 6:45 AM CT on economic news days
A crypto desk briefing updated every 2 hours

Just visit intradayfeed.com — no signup required for the free analysis.

Tools to Use: ATAS for Order Flow

Volume Profile tells you where the market traded. But to understand how the market traded — who was aggressive, who was passive, where large orders were filled — you need an order flow tool.

This is where ATAS comes in.

ATAS (Advanced Time And Sales) is a professional order flow and volume analysis platform built specifically for futures traders. Here is what it gives you beyond standard Volume Profile:

Delta and Cumulative Delta

Delta shows the difference between market buys and market sells at each price. Cumulative Delta tracks this over the session, revealing whether buyers or sellers are actually in control — regardless of what price is doing. A price rally with negative cumulative delta is a massive red flag.

Footprint Charts

Footprint charts show volume at the bid and ask at every price level inside each candle. You can see absorption (when limit orders soak up market orders), exhaustion (when one side stops aggressing), and imbalances (when one side dominates at a specific price).

Each cell in a footprint candle shows Buy Volume x Sell Volume and the resulting delta. Green cells indicate buying pressure, red cells indicate selling pressure. When you see large red cells at a key resistance level (like VAH), that is absorption — sellers are absorbing buy-side aggression, and a reversal is likely.

Volume Profile Variants

ATAS offers multiple Volume Profile types — session, composite, and custom range — letting you analyze value areas across any timeframe. You can overlay yesterday VPOC on today chart and watch how price reacts in real-time.

HFT and Institutional Detection

ATAS includes tools to detect large lot activity, iceberg orders, and spoofing patterns — things that traditional charting platforms completely miss. The heatmap and large lot detection panels show you where institutional participants are hiding their true size.

The Workflow: IntradayFeed + ATAS

Here is how to combine both tools:

Pre-market: Check IntradayFeed for the daily brief — get your VAH, VAL, VPOC levels and the overall bias
Plan: Mark the levels on your ATAS chart — VAH as resistance, VAL as support, VPOC as the magnet
Execute: Use ATAS order flow tools to confirm entries — look for delta divergence at VAH/VAL, absorption at VPOC, and imbalance clusters at key levels
Review: Compare your trades against the IntradayFeed post-market analysis

This combination gives you the macro structure (Volume Profile from IntradayFeed) and the micro confirmation (order flow from ATAS) — two layers of confluence that dramatically improve your win rate.

Getting Started

Free analysis: Bookmark intradayfeed.com for daily volume profile briefs
Order flow tool: Download ATAS — they offer a free trial with full order flow features
Playbook: Read the Volume Profile Playbook for a deeper dive into the concepts
Crypto desk: Check the crypto desk page for BTC and ETH analysis updated every 2 hours

TL;DR

Volume Profile reveals where the market actually traded, not just where price bounced
Three levels: VPOC (fair value), VAH (premium), VAL (discount)
IntradayFeed gives you free daily analysis with these levels — no signup needed
ATAS adds order flow confirmation: delta, footprint charts, and institutional detection
Combine both for a two-layer confluence system: macro structure + micro confirmation

Disclaimer: This content is for educational purposes only and is not financial advice. Trading futures and crypto involves significant risk of loss. Always do your own research and never risk more than you can afford to lose.

Disclosure: The ATAS link in this article is a partner referral link. If you sign up through it, I may receive a commission at no additional cost to you. I only recommend tools I personally use for order flow analysis.

We Open-Sourced 19 A2A Financial Microservices (And Refuse to Fabricate Data)

intradayfeed — Wed, 05 Aug 2026 11:11:57 +0000

The problem: AI agents can't trust most financial APIs

Most financial data APIs were built for humans clicking dashboards. When an autonomous agent calls them, three things go wrong:

Missing data is silently filled with synthetic values — fake EPS, fabricated price targets, placeholder volatility numbers
No A2A protocol support — no agent card, no capabilities endpoint, no task lifecycle
No honesty layer — the API returns 200 OK with made-up data instead of telling the agent "I don't have this"

We built IntradayFeed to fix this. It's a market analysis platform with a native A2A agent API exposing 19 microservices — and when a data feed isn't configured, it says so.

What is IntradayFeed?

IntradayFeed is an A2A-accessible market analysis agent that exposes microservices for:

Live data (10 services): OHLC snapshots, EMA21/VWAP bias signals, flash news sentiment, macro catalyst calendar, conviction ranking, composite GO scores
Predictive tier (9 services): Earnings predictions, price targets, volatility forecasts, sector rotation, insider/institutional flow, options flow, transcript analysis

The predictive services are honestly unavailable until a verified data provider is wired. No synthetic EPS. No fabricated analyst targets. No placeholder strikes.

A2A discovery — start here

If you're a buyer agent (or building one), here's the entry point:

Resource	URL
Agent Card (A2A v1)	`https://intradayfeed.com/.well-known/agent-card.json`
Agent Card (legacy)	`https://intradayfeed.com/.well-known/agent.json`
Capabilities	`GET https://intradayfeed.com/api/agent/capabilities/`
Human + machine docs	`https://intradayfeed.com/agents`
LLM crawler context	`https://intradayfeed.com/llms.txt`

Agent Card

{
  "name": "IntradayFeed Market Analysis Agent",
  "protocolVersion": "0.3.0",
  "url": "https://intradayfeed.com/api/agent/",
  "securitySchemes": {
    "AgentKey": {
      "type": "apiKey",
      "in": "header",
      "name": "X-Agent-Key"
    }
  },
  "skills": [
    { "id": "bias.signal", "description": "Directional EMA21 + VWAP bias for one ticker/timeframe" },
    { "id": "flash.news", "description": "Latest market headline with sentiment and extracted affected tickers" },
    { "id": "catalyst.calendar", "description": "US macro catalyst calendar with impact scores" },
    { "id": "market_snapshot", "description": "OHLC bars + EMA21/VWAP bias snapshot for one ticker" }
  ]
}

The full card lists all 19 skills with input/output modes, tags, and examples.

How to call it

1. Auth

All task endpoints require an X-Agent-Key header:

curl -H "X-Agent-Key: $AGENT_API_KEY" \\
     -H "Content-Type: application/json" \\
     -X POST https://intradayfeed.com/api/agent/tasks/ \\
     -d '{"operation": "bias.signal", "input": {"ticker": "ES", "timeframe": "1H"}}'

2. Bias signal example

{
  "operation": "bias.signal",
  "input": { "ticker": "ES", "timeframe": "1H" }
}

Response:

{
  "task_id": "a1b2c3d4-...",
  "status": "completed",
  "output": {
    "direction": "bullish",
    "confidence": 79.0,
    "ema_21_position": "above",
    "vwap_position": "above",
    "hint": "Price above both 21-EMA and anchored VWAP — constructive structure"
  }
}

3. Flash news with ticker extraction

{
  "operation": "flash.news",
  "input": { "subscribe": false, "tickers": ["AAPL", "TSLA"] }
}

Response includes a real headline, sentiment score, and extracted tickers — no class-action lawsuit spam (we filter those).

4. Honest "unavailable" (no fabrication)

{
  "operation": "earnings.predict",
  "input": { "ticker": "AAPL" }
}

Response:

{
  "status": "completed",
  "output": {
    "available": false,
    "status": "unavailable",
    "error": "No verified earnings-estimates provider configured. Refusing synthetic EPS/revenue."
  }
}

The service completes successfully but tells the agent the truth: the data feed isn't wired yet. The agent can decide what to do — wait, find another provider, or skip.

Security

Auth enforced: X-Agent-Key header required (HTTP 403 without)
Rate limited: ~9 calls per 15-second window per client
Input validated: tickers max 32 alphanumeric chars, watchlists max 40 symbols, payload ~8KB cap
Unknown operations: HTTP 400, never executed
Injection blocked: SQLi, NoSQLi, XSS payloads rejected at the gate

Commerce flow (for buyer agents)

IntradayFeed supports the full A2A purchase lifecycle:

Browse → GET /api/agent/capabilities/ (operations + pricing + payment rails)
Quote → POST /api/agent/quote/ with operations[] and optional negotiation %
Checkout → POST /api/agent/checkout/ (tip % + payment asset/network)
Pay → Open payment_url, then POST /api/agent/payments/confirm/
Run → POST /api/agent/tasks/ for your purchased operation
Tip → POST /api/agent/tips/evaluate/ (performance-based, $100/mo cap)

Payment rails: USDC on Solana (per-request micro-transactions) and NEAR (smart-contract escrow).

Why we refuse synthetic data

Most financial APIs fill gaps with fabricated values because "something is better than nothing." For humans, maybe. For autonomous agents making buy/sell decisions — synthetic data is dangerous.

An agent calling earnings.predict for AAPL expects earnings estimates. If the API fabricates EPS from a stale model, the agent has no way to distinguish real data from synthetic. It will act on it.

Our approach: if the feed isn't wired, say so. The response is available: false with the specific reason. The agent can:

Skip the signal
Find another provider
Flag the gap to its operator

This is the honesty layer A2A needs.

Try it

Agent Card: /.well-known/agent.json
Docs: /agents
Marketplace UI: /agent-marketplace
LLM context: /llms.txt

No signup required to read the agent card. You only need an API key to execute tasks.

IntradayFeed is a market analysis platform — we analyze markets; we do not give financial advice or process trades. Registered office: 128 City Road, London, EC1V 2NX. Terms · Privacy

DEV Community: intradayfeed

a2afx.com: A Marketplace Where AI Agents Buy Microservices From Each Other

What is a2afx?

The Agent Card: Machine-Readable Service Discovery

The 67 Microservices

Market Data & Analytics (2 services)

Sales & Outreach Campaigns (18 services)

Travel Services (20 services)

Banking & Governance (6 services)

CRM Core & Platform (21 services)

How Calling a Service Works

The _ai_friendly Envelope

Pricing & Settlement

Why This Matters

What's Next

How to Read Volume Profile Like a Pro — And Get Free Daily Analysis on IntradayFeed

Why Volume Profile Beats Traditional Support/Resistance

The Three Levels That Matter

VPOC (Volume Point of Control)

VAH (Value Area High)

VAL (Value Area Low)

How to Actually Use These Levels

1. Identify the Bias

2. VPOC as a Magnet

3. Value Area Rejections

4. VPOC Migration

Free Daily Volume Profile Analysis on IntradayFeed

Tools to Use: ATAS for Order Flow

Delta and Cumulative Delta

Footprint Charts

Volume Profile Variants

HFT and Institutional Detection

The Workflow: IntradayFeed + ATAS

Getting Started

TL;DR

We Open-Sourced 19 A2A Financial Microservices (And Refuse to Fabricate Data)

The problem: AI agents can't trust most financial APIs

What is IntradayFeed?

A2A discovery — start here

Agent Card

How to call it

1. Auth

2. Bias signal example

3. Flash news with ticker extraction

4. Honest "unavailable" (no fabrication)

Security

Commerce flow (for buyer agents)

Why we refuse synthetic data

Try it

The `_ai_friendly` Envelope